[{"data":1,"prerenderedAt":1564},["ShallowReactive",2],{"blogHome":3,"blogHomeTags":48,"blogHomePosts":167},{"unique_url":4,"data":5,"content":18,"title":44,"meta_description":45,"page_image":46,"top_id":47,"to_index":17},"newsroom",{"featured_stories":6},{"template":7,"news_items":8},"featured_stories",[9,20,28,36],{"id":10,"url":11,"title":12,"description":13,"type":14,"image":15,"publish_date":16,"is_active":17,"author_name":18,"selected_news_id":19},330,"adas-regulations-overview-what-every-automaker-needs-to-know","ADAS 法规概览：车企必知核心要点","本文快速梳理了2026年及后续阶段影响高级驾驶辅助系统落地应用的核心法规政策动态。","blog","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc337cb883bdbb34734aa8f89fedf6fd8_1784014252880.webp","2026-07-14T07:00:00.000Z",1,"","qnevjg968x8",{"id":21,"url":22,"title":23,"description":24,"type":14,"image":25,"publish_date":26,"is_active":17,"author_name":18,"selected_news_id":27},327,"maas-and-robotaxis-at-scale-why-collaboration-not-just-ai-makes-all-the-difference","MaaS与Robotaxi规模化：为何多方协同远比单纯人工智能技术更为关键","自动驾驶出租车（Robotaxi）及其他出行即服务（MaaS）自动驾驶车辆面临的不只是自动驾驶本身技术难题，更是全生态体系的系统性挑战","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff9bcefa8227c859514142b603ce9cc30_1782374801714.webp","2026-06-25T07:00:00.000Z","i5qm2o7dc1",{"id":29,"url":30,"title":31,"description":32,"type":14,"image":33,"publish_date":34,"is_active":17,"author_name":18,"selected_news_id":35},326,"diagnosing-the-long-tail-how-mobileye-turns-edge-cases-into-targeted-training","解析长尾挑战：Mobileye如何将边缘案例转化为定向训练","Meteor与Genario：运用语义推理、生成式AI以及结构化验证机制，系统性识别并解决自动驾驶偶发故障","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F0facc17a677c97be9cb60f05bfa8c53b_1779867009807.webp","2026-05-27T07:00:00.000Z","2ht0jhwa5qr",{"id":37,"url":38,"title":39,"description":40,"type":14,"image":41,"publish_date":42,"is_active":17,"author_name":18,"selected_news_id":43},323,"tüv-süd-certifies-mobileyes-av-safety-approach-for-sae-level-4","TÜV南德认证 Mobileye 面向 SAE L4 级自动驾驶系统的安全方法","2026年3月，全球领先的独立认证机构之一TÜV南德（TÜV SÜD），正式对Mobileye面向SAE L4级自动驾驶系统的安全管理系统（SMS）出具推荐认可意见。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F38a5a6e889318030bade44f19b26f2d8_1777542826666.jpg","2026-05-06T07:00:00.000Z","x9e86n8u0q","Mobileye 博客","浏览Mobileye博客，了解这家先锋企业的最新信息。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fsocial\u002Fabout.jpg",0,[49,55,63,70,76,84,91,98,106,113,120,127,133,139,147,154,161],{"id":17,"tag":50,"url":51,"list_order":17,"tag_title":52,"tag_description":53,"tag_image":54,"is_visible":17},"Amnon Shashua","amnon-shashua","Mobileye CEO and founder Prof. Amnon Shashua","Read the latest news and updates about Professor Amnon Shashua, the Chief Executive Officer and founder of Mobileye.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fea37d7e7751aae1f5f2e8d70c10c4cd1_1711444846898.jpg",{"id":56,"tag":57,"url":58,"list_order":59,"tag_title":60,"tag_description":61,"tag_image":62,"is_visible":17},4,"ADAS","adas",2,"Advanced Driver-Asssistance Systems from Mobileye","Read about assisted-driving technologies from Mobileye, the pioneering market leader in computer vision for advanced driver-assistance systems.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F36fcc73cd14c1cb4528f155e534bcd24_1710330031175.jpg",{"id":64,"tag":65,"url":66,"list_order":64,"tag_title":67,"tag_description":68,"tag_image":69,"is_visible":17},3,"Autonomous Driving","autonomous-driving","Autonomous Driving Technologies from Mobileye","Discover the full range of innovative advancements, groundbreaking technologies, and comprehensive solutions developed by Mobileye for autonomous vehi","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd68043f24c36c755b43d169bddaef49f_1710330004977.jpg",{"id":59,"tag":71,"url":72,"list_order":56,"tag_title":73,"tag_description":74,"tag_image":75,"is_visible":17},"AV Safety","av-safety","RSS™ and Autonomous Vehicle Safety at Mobileye","Delve into the latest updates and information about autonomous-vehicle safety and the Responsibility-Sensitive Safety™ model (RSS™) from Mobileye.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1a93aad27f5322b98336318873549b35_1710329987351.jpg",{"id":77,"tag":78,"url":79,"list_order":80,"tag_title":81,"tag_description":82,"tag_image":83,"is_visible":17},6,"Driverless MaaS","driverless-maas",5,"Driverless Mobility-as-a-Service from Mobileye","Dive into the technologies Mobileye develops to enable autonomous Mobility-as-a-Service solutions delivering self-driving mobility on demand.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa04eac1da266c8dd0caf775a243c6ff2_1716967989684.jpg",{"id":85,"tag":86,"url":87,"list_order":77,"tag_title":88,"tag_description":89,"tag_image":90,"is_visible":17},7,"Mapping & REM","mapping-rem","REM™ mapping technology from Mobileye","Discover the latest about Road Experience Management™ (REM™), Mobileye's innovative crowdsourced cloud mapping solution for assisted and autonomous dr","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd8847e0a8281f0cf9cb0f8bc2c051b1e_1716968001971.jpg",{"id":92,"tag":93,"url":94,"list_order":85,"tag_title":95,"tag_description":96,"tag_image":97,"is_visible":17},12,"Mobileye Inside","mobileye-inside","The latest about vehicles with Mobileye technology inside","Take a look under the hood at the latest vehicles incorporating the groundbreaking assisted and autonomous driving technologies from Mobileye.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe8b350759a9f7e7ca5c521f0866b9a48_1716968050502.jpg",{"id":99,"tag":100,"url":101,"list_order":102,"tag_title":103,"tag_description":104,"tag_image":105,"is_visible":17},9,"Opinion","opinion",8,"Opinion pieces from Mobileye Leadership","Read opinion pieces and editorials from the thought leaders at the helm of Mobileye, the company driving the autonomous vehicle evolution.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1de50bef1e21d144583a09eba0cc23ff_1716968025874.jpg",{"id":107,"tag":108,"url":109,"list_order":99,"tag_title":110,"tag_description":111,"tag_image":112,"is_visible":17},13,"Industry","industry","Updates about the automotive tech industry from Mobileye","Read the newest updates and insights about the industry from Mobileye, a leading developer and supplier of automotive technologies.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F616c61e1687b24b92c10c22ffddc0d3f_1716968063749.jpg",{"id":80,"tag":114,"url":115,"list_order":116,"tag_title":117,"tag_description":118,"tag_image":119,"is_visible":17},"Awards","awards",10,"Awards & Honors at Mobileye","Mobileye is honored to be recognized as a leader in assisted and autonomous driving technologies. Read about the awards and citations we've received.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fcbe44f82e8943ecb87748a0b21769a79_1716967974564.jpg",{"id":121,"tag":122,"url":123,"list_order":121,"tag_title":124,"tag_description":125,"tag_image":126,"is_visible":17},11,"Events","events","Events & Conferences at Mobileye","Find out about conferences, trade shows, and other events where Mobileye has showcased the innovations creating the autonomous driving future today. ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F091d61264ea4fdabfab5061ac817b098_1716968037984.jpg",{"id":102,"tag":128,"url":129,"list_order":92,"tag_title":130,"tag_description":131,"tag_image":132,"is_visible":17},"Video","video","Videos about Mobileye","Watch videos about Mobileye and our groundbreaking technologies and solutions that are driving the evolution from assisted to autonomous driving.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Facab36f96b5bf20ca9f7898eea8595c9_1716968015561.jpg",{"id":134,"tag":135,"url":136,"list_order":107,"tag_title":137,"tag_description":138,"tag_image":46,"is_visible":47},15,"Press Kit","press-kit","Press kits and media information from Mobileye","Find the latest press kits, media information, and other assets for journalists from Mobileye, the company driving the autonomous vehicle evolution.",{"id":140,"tag":141,"url":142,"list_order":143,"tag_title":144,"tag_description":145,"tag_image":146,"is_visible":47},16,"News","news",14,"News updates from Mobileye","Read the latest news from Mobileye, the innovative and pioneering developer and supplier of assisted and autonomous driving technologies.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc14e966bdd3a7bc6585a879ca05b6714_1716968104360.jpg",{"id":148,"tag":149,"url":150,"list_order":134,"tag_title":151,"tag_description":152,"tag_image":153,"is_visible":17},17,"Financial","financial","Financial updates from Mobileye [Nasdaq: MBLY]","Receive the updates on the financial performance and quarterly results of Mobileye, listed on Nasdaq stock exchange under the ticker symbol MBLY.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3bd26e0f4e9f88d3184254ab9d601fe1_1716968119194.jpg",{"id":155,"tag":156,"url":157,"list_order":140,"tag_title":158,"tag_description":159,"tag_image":160,"is_visible":17},18,"From our CEO","from-our-ceo","From the Desk of Mobileye CEO & Founder Prof. Amnon Shashua","Messages, editorials, and videos communicated directly from the mind and desk of Mobileye CEO and founder Professor Amnon Shashua.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd0b71dedc5a444b7ecf4959a28b5e4c5_1716968130886.jpg",{"id":162,"tag":163,"url":164,"list_order":148,"tag_title":165,"tag_description":166,"tag_image":105,"is_visible":17},19,"Physical AI","physical-ai","Mobileye Blog | Physical AI","Read the latest news and updates about Mobileye's Physical AI technologies",[168,180,184,188,198,208,212,216,226,236,246,256,266,276,286,296,305,315,324,334,344,354,364,374,384,393,403,413,423,433,443,453,463,473,483,492,502,512,522,532,542,552,562,572,583,593,603,613,623,633,643,653,663,673,683,694,704,714,724,734,743,753,763,773,783,792,802,812,822,832,842,852,862,872,882,892,902,912,922,932,942,952,962,972,982,991,1001,1011,1021,1031,1041,1051,1061,1071,1081,1091,1101,1111,1121,1131,1141,1151,1161,1171,1181,1191,1201,1211,1221,1231,1242,1252,1262,1272,1282,1292,1302,1312,1322,1331,1341,1351,1361,1371,1381,1391,1400,1410,1420,1430,1439,1449,1459,1469,1479,1489,1499,1509,1518,1527,1536,1544,1554],{"id":169,"type":142,"url":170,"title":171,"description":172,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":172,"image":174,"img_alt":175,"content":176,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":178,"tags":179},331,"mobileye-to-supply-cloud-enhanced-adas-for-select-future-stellantis-vehicles","Mobileye 将为斯特兰蒂斯旗下部分新车型供应云增强ADAS","自2027年起，斯特兰蒂斯旗下部分车型将搭载Mobileye智能路网技术，依托众源智能技术拓展“驾驶员运动脱离\u002F需注视”驾驶适用场景并提升系统性能。","en","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F68d530bf197e74b919abbe823212be51_1784560267721.webp","车辆基于 Mobileye REM 识别路况并提前预判施工区域的示意图","\u003Cp>\u003Cspan>\u003Cstrong>中国上海，\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>2026\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>年\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>7\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>月\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>21\u003C\u002Fstrong>\u003C\u002Fspan>\u003Cspan>\u003Cstrong>日\u003C\u002Fstrong>\u003C\u002Fspan> — \u003Cspan>全球高级驾驶辅助与自动驾驶技术领先企业\u003C\u002Fspan>\u003Cspan>Mobileye\u003C\u002Fspan>\u003Cspan>今日宣布，其云增强高级驾驶辅助系统（\u003C\u002Fspan>\u003Cspan>ADAS\u003C\u002Fspan>\u003Cspan>）技术预计自\u003C\u002Fspan>\u003Cspan>2027\u003C\u002Fspan>\u003Cspan>年起搭载于斯特兰蒂斯（\u003C\u002Fspan>\u003Cspan>Stellantis\u003C\u002Fspan>\u003Cspan>）\u003C\u002Fspan>未来\u003Cspan>部分新车型，依托先进的众源智能技术，支持车辆实现行车安全与便利化功能。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>Stellantis由此加入采用Mobileye REM™智能路网技术的全球车企行列。该众源智能体系已覆盖美国和欧洲超过95%的公共道路。目前，全球十大车企中已有五家为REM™提供经匿名化处理的道路特征信息；仅去年，超过800万辆车提供的道路信息累计覆盖约340亿英里（约547亿公里）。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3feaf1b53a3a492338caea365da89016_1784560357937.webp\" \u002F>\u003Cspan class=\"caption\">Mobileye REM 实时工作原理示意图\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>通过依托云增强ADAS实现的智能路网，Mobileye致力于支持\u003Cspan> Stellantis\u003C\u002Fspan>后续特定车型实现多项\u003Cspan>行车安全与便利化\u003C\u002Fspan>功能，包括无标线道路智能车道保持、限定路段与工况下的“驾驶员运动脱离\u002F需注视”驾驶等。相关功能预计将于明年起率先应用于美国市场部分车型，后续将根据车辆平台与配置，逐步拓展搭载范围。\u003C\u002Fp>\n\u003Cp>\u003Cspan>Mobileye\u003C\u002Fspan>\u003Cspan>智能路网技术依托搭载\u003C\u002Fspan>\u003Cspan>EyeQ\u003C\u002Fspan>\u003Cspan>\u003Csup>TM\u003C\u002Fsup>\u003C\u002Fspan>\u003Cspan>芯片的车辆，通过前视摄像头，有选择性地收集有关道路特征信息和驾驶环境的众源数据，涵盖路缘、斑马线位置、常规行驶路线等。所有数据均经过\u003C\u002Fspan>匿名化\u003Cspan>处理后发送至云端，自动生成包含丰富信息、\u003C\u002Fspan>支持高级驾驶辅助、驾驶自动化及自动驾驶车辆等技术\u003Cspan>的\u003C\u002Fspan>道路智能信息层\u003Cspan>，\u003C\u002Fspan>持续更新交通信号灯、车道线、平均舒适行驶速度等信息，随后再回传至道路上行驶的车辆\u003Cspan>。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>智能路网数据覆盖欧美高速公路、城市街巷等多种道路类型，同时在亚洲、北美、南美核心市场持续扩充路网覆盖。全球规模化众源车队可助力实现智能路网的高覆盖率和持续更新，因此道路施工等路况变化能够反映在道路智能信息层中。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan>Mobileye\u003C\u002Fspan>\u003Cspan>业务发展与战略执行副总裁\u003C\u002Fspan>\u003Cspan>Nimrod Nehushtan\u003C\u002Fspan>\u003Cspan>表示：\u003C\u002Fspan>\u003Cspan>“\u003C\u002Fspan>\u003Cspan>我们很高兴进一步深化与\u003C\u002Fspan>\u003Cspan> Stellantis \u003C\u002Fspan>\u003Cspan>的合作，通过智能路网和\u003C\u002Fspan>\u003Cspan>EyeQ6L\u003C\u002Fspan>\u003Cspan>为车辆赋予更高水平的智能化。在\u003C\u002Fspan>\u003Cspan>Mobileye\u003C\u002Fspan>\u003Cspan>从环绕式\u003C\u002Fspan>\u003Cspan>ADAS\u003C\u002Fspan>\u003Cspan>到完全自动驾驶的先进技术布局中，云增强\u003C\u002Fspan>\u003Cspan> ADAS \u003C\u002Fspan>\u003Cspan>发挥着核心作用。\u003C\u002Fspan>该垂直整合方案能够以具有成本效益、可规模化的方式支持安全与便利功能。\u003Cspan>”\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>___________________________________\u003C\u002Fp>\n\u003Ch6>Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the global adoption of advanced driver-assistance systems that save countless lives and reduce crashes, while pioneering groundbreaking technologies such as REM™ crowdsourced road intelligence, Imaging Radar and Compound AI. These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading ADAS products. Through 2025, more than 230 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside. In 2026, Mobileye acquired Mentee Robotics to pursue the future of physical AI and humanoid robots. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\" target=\"_blank\" rel=\"noopener noreferrer\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fh6>\n\u003Ch6>“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fh6>\n\u003Ch6>Forward-Looking Statements\u003C\u002Fh6>\n\u003Ch6>This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Statements in this release that are not statements of historical fact are forward-looking statements and should be evaluated as such, including statements regarding Mobileye’s expansion into a full ownership of an autonomous ride-hailing business, and the impact and potential benefits to Mobileye’s business. These statements often include words such as “anticipate,” “expect,” “suggests,” “plan,” “believe,” “intend,” “estimates,” “targets,” “projects,” “should,” “could,” “would,” “may,” “will,” “forecast,” or the negative of these terms, and other similar expressions, although not all forward-looking statements contain these words. We base these forward-looking statements or projections, including Mobileye’s full-year guidance, on our current expectations, plans and assumptions that we have made in light of our experience in the industry, as well as our perceptions of historical trends, current conditions, expected future developments and other factors we believe are appropriate under the circumstances and at such time. You should understand that these statements are not guarantees of performance or results. The forward-looking statements and projections are subject to and involve risks, uncertainties and assumptions and you should not place undue reliance on these forward-looking statements or projections. Although we believe that these forward-looking statements and projections are based on reasonable assumptions at the time they are made, you should be aware that many factors could affect our actual financial results or results of operations and could cause actual results to differ materially from those expressed in the forward-looking statements and projections. Detailed information regarding these and other factors that could affect Mobileye’s business and results is included in Mobileye’s SEC filings, including the company’s Annual Report on Form 10-K for the year ended December 27, 2025, particularly in the section entitled “Item 1A. Risk Factors”. Copies of these filings may be obtained by visiting our Investor Relations website at \u003Ca href=\"http:\u002F\u002Fir.mobileye.com\" target=\"_blank\" rel=\"noopener noreferrer\">ir.mobileye.com\u003C\u002Fa> or the SEC’s website at \u003Ca href=\"http:\u002F\u002Fwww.sec.gov\" target=\"_blank\" rel=\"noopener noreferrer\">www.sec.gov\u003C\u002Fa>.\u003C\u002Fh6>\n\u003Cp> \u003C\u002Fp>",null,"2026-07-21T07:00:00.000Z",[93,141,86,108,57],{"id":10,"type":14,"url":11,"title":12,"description":13,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":13,"image":15,"img_alt":181,"content":182,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":16,"tags":183},"各地区法规虽存在地域差异，但全球监管体系已显现多项明确共性趋势。","\u003Cp>高级驾驶辅助系统技术持续迭代升级，\u003Cspan>2026\u003C\u002Fspan>年起相关法规将成为全新整车平台研发与量产落地的核心约束条件。此前多以自愿性指导文件为主的行业规范，如今在全球主要市场逐步转化为体系化、具备强制约束力的正式法规。\u003C\u002Fp>\n\u003Cp>\u003Cspan> \u003C\u002Fspan>本文快速梳理了2026年及后续阶段影响高级驾驶辅助系统落地应用的核心法规政策动态。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>欧盟《通用安全法规》（\u003Cspan>GSR\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cstrong>）第二阶段条款正式生效\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>欧盟一直是车辆安全技术监管体系最为完备的区域之一。《通用安全法规》（\u003Cspan>GSR\u003C\u002Fspan>）针对欧盟境内销售的所有新车划定了一整套\u003Ca href=\"https:\u002F\u002Ftransport.ec.europa.eu\u002Ftransport-themes\u002Fsmart-mobility\u002Froad\u002Fapplication-areas\u002Fvehicle-safety-systems_en\">强制搭载的安全配置清单\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp>该法规的首期约束对象主要为新认证车型；\u003Cspan>2024\u003C\u002Fspan>年\u003Cspan>7\u003C\u002Fspan>月起，监管要求已扩展至覆盖欧盟境内销售的所有新车（含存量车型）。新增强制条款预计将于\u003Cspan>2026\u003C\u002Fspan>年\u003Cspan>7\u003C\u002Fspan>月起生效，具体涵盖自动紧急制动（\u003Cspan>AEB\u003C\u002Fspan>）、智能车速辅助（\u003Cspan>ISA\u003C\u002Fspan>）、驾驶员疲劳与注意力监测，以及驾驶员分心高级预警（\u003Cspan>ADDW\u003C\u002Fspan>）等技术。\u003C\u002Fp>\n\u003Cp>对车企而言，（相关法规所要求的）驾驶辅助和安全功能正成为欧盟新车的基础安全配置。\u003C\u002Fp>\n\u003Cp>鉴于许多全球化整车平台在研发之初就考虑了欧盟型式认证要求，这些法规的影响力往往会延伸至欧盟以外，深度影响全球范围内的整车架构设计。\u003C\u002Fp>\n\u003Cp>车企在规模化合规落地过程中，更倾向采用集成式平台方案统一适配各项法规要求，而非针对每一项强制条款单独开发集成模块。\u003C\u002Fp>\n\u003Cp>为帮助车企应对日益增加的法规压力，Mobileye \u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fhow-surround-adas-delivers-the-new-standard-of-safety-and-tech\u002F\">环绕式 ADAS \u003C\u002Fa>采用一体化架构，支持 360° 感知覆盖，并在一套解决方案中集成对最新适用法规要求的支持，从而缓解合规压力。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>驾驶员控制辅助系统（\u003Cspan>DCAS\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cstrong>）监管关注度持续提升\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>驾驶员控制辅助系统（\u003Cspan>DCAS\u003C\u002Fspan>）现已广泛搭载于量产车辆，该类系统可持续辅助车辆转向与车速控制，但不承担完整动态驾驶任务。\u003C\u002Fp>\n\u003Cp>随着\u003Cspan>DCAS\u003C\u002Fspan>功能不断增强，监管机构开始重点规范驾驶员与该类系统的交互逻辑，硬性要求驾驶员始终保持注意力并随时准备介入。\u003C\u002Fp>\n\u003Cp>因此，支持这一目标的功能和技术正成为驾驶辅助系统的标配组成部分。例如驾驶员监测系统（\u003Cspan>DMS\u003C\u002Fspan>）、系统安全降级兜底策略、清晰直观的人机交互交互（\u003Cspan>HMI\u003C\u002Fspan>）提示等。\u003C\u002Fp>\n\u003Cp>Mobileye认为，驾驶员监测不应仅止步于满足法规底线，更应从整车系统顶层设计出发。\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fpresenting-the-mobileye-driver-monitoring-system-fusing-road-safety-inside-the-cabin\u002F\">Mobileye DMS™\u003C\u002Fa>并非独立加装配件，而是与ADAS深度融合，可与车辆外部感知系统协同联动，提升车辆环境感知灵敏度与系统响应能力。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>美国：安全标准与自愿性框架并行\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>与欧盟强约束式立法不同，美国监管体系以安全标准、行业自愿性规范为核心，未推行大范围强制性法规。联邦监管部门侧重要求企业开展安全信息报备、公开自动驾驶系统相关信息、签署行业自愿承诺；各州则在自动驾驶车辆部署的若干方面保有监管权限。。\u003C\u002Fp>\n\u003Cp>该监管模式灵活性更强，但区域政策碎片化特征显著，车企需同时遵循联邦层面指导意见与各州地方条例。随着自动驾驶技术迭代，后续美国或将进一步明确驾驶辅助分级标准、人工监管细则与安全评估规范。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>中国：智能驾驶法规体系加速落地完善\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>中国正加快搭建高等级自动驾驶法规框架。工信部发布新版安全要求征求意见稿，计划于\u003Cspan>2027\u003C\u002Fspan>年\u003Cspan>7\u003C\u002Fspan>月正式实施。意见稿针对\u003Cspan>SAE L3\u003C\u002Fspan>和\u003Cspan>L4\u003C\u002Fspan>级驾驶自动化车辆，将此前自愿性指导规范升级为强制性安全准入条款。\u003C\u002Fp>\n\u003Cp>中国相关监管文件日益使用\u003Cspan>‘\u003C\u002Fspan>组合驾驶辅助系统（\u003Cspan>CDAS\u003C\u002Fspan>）等分类术语，作为驾驶自动化分级体系的一部分。中国也已开展城市道路驾驶自动化相关试点，为监管规则完善和技术应用积累经验。\u003C\u002Fp>\n\u003Cp>鉴于中国汽车市场的规模和战略重要性，这些发展预计将在全球自动驾驶技术路线规划中发挥重要作用。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>全球监管统一大趋势：自动驾驶权责规范化\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>各地区法规虽存在地域差异，但全球监管体系已显现多项明确共性趋势。\u003C\u002Fp>\n\u003Cp>第一，部分驾驶辅助功能正从选配向基础安全配置转变；第二，随着车辆接近更高驾驶自动化等级，监管机构愈发重视驾驶员监督和系统责任；第三，监管框架越来越重视为驾驶自动化建立清晰、结构化的发展路径，避免在定义不明确的情况下推进技术应用。\u003C\u002Fp>\n\u003Cp>对车企而言，以上趋势意味着整车平台需具备多市场通用适配能力，以应对日趋严苛、复杂的全球安全监管准入要求。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cem>*本文仅作一般信息参考，不构成任何法律意见，亦不作为相关法律法规的官方解读。\u003C\u002Fem>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",[108,57],{"id":21,"type":14,"url":22,"title":23,"description":24,"primary_tag":77,"author_name":18,"is_hidden":47,"lang":173,"meta_description":24,"image":25,"img_alt":185,"content":186,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":26,"tags":187},"当前自动驾驶出租车真正的难点，在于安全、经济、协同的规模化落地。","\u003Cp>当前自动驾驶出租车真正的难点，在于安全、经济、协同的规模化落地。\u003C\u002Fp>\n\u003Cp>但想要释放这一潜力，仅依靠工程技术突破远远不够。还需要搭建多层级产业生态：车企、车队与乘客管理系统、政策制定部门及地方主管机构多方同向发力，共同打造可规模化落地、具备实用性的自动驾驶出行即服务（MaaS）。\u003C\u002Fp>\n\u003Ch3>何为出行即服务（MaaS）？\u003C\u002Fh3>\n\u003Cp>出行即服务（Mobility as a Service，简称MaaS）是一种交通服务模式：交通出行不再依赖私有车辆，而是作为标准化服务按需或按班次即时提供。自动驾驶出租车是该模式最直观的落地形态：用户通过手机App下单，即可呼叫自动驾驶车辆；车辆依托传感器、智能路网技术与人工智能算法实现自主感知、规划与行驶。\u003C\u002Fp>\n\u003Cp>其应用场景十分多元，既可作为传统网约车（有驾驶员）的补充，也能支撑全城范围的拼车出行，但底层逻辑高度统一：全部实现无人驾驶，支持按需预约或定时排班，以服务形式提供运力，而非作为私有车辆提供。\u003C\u002Fp>\n\u003Ch3>为何技术只是出行即服务（MaaS）的组成部分之一？\u003C\u002Fh3>\n\u003Cp>即便是小规模自动驾驶试点项目，也凸显多方主体的不可或缺。以Mobileye在挪威奥斯陆\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Ffrom-neighborhoods-to-networks-how-grorud-valleys-maas-enriched-public-transit\u002F\">Grorud Valley\u003C\u002Fa>落地的自动驾驶接驳班车项目为例，该线路用于接驳城郊居民前往主要交通枢纽。单此一条运营线路背后，就涉及车企、挪威公共交通管理局Ruter，以及出行运营服务商Holo。由Holo负责面向乘客的交互端口与车队整体运营管理。\u003C\u002Fp>\n\u003Cp>除此之外，线路审批监管部门、推动试点落地的市政主管部门同样深度参与。正是这套完整生态多方协作，才能让自动驾驶车辆上路运营、完成乘客点对点接送。\u003C\u002Fp>\n\u003Cp>试想将这一模式复制至一座城市、一个地区、乃至多个国家。核心参与主体通常包含：\u003C\u002Fp>\n\u003Cp>• 车企（OEM）：提供适配大规模自动驾驶落地的专用车辆\u003C\u002Fp>\n\u003Cp>• 技术服务商：提供整套自动驾驶核心软件栈，涵盖感知、决策、智能路网与安全架构模块\u003C\u002Fp>\n\u003Cp>• 车队运营方：负责车辆日常调度、维保与后勤统筹\u003C\u002Fp>\n\u003Cp>• 出行平台：对接乘客需求、匹配车辆运力，并与城市综合交通网络打通\u003C\u002Fp>\n\u003Cp>• 监管及政府部门：在国家与地方层面搭建法规体系，划定合规运营区域\u003C\u002Fp>\n\u003Cp>没有任何单一主体能够包揽上述全部环节。自动驾驶出租车规模化落地，本质是推动全产业链协同运转；选择可跨行业整合资源的合作伙伴，往往是商业化落地可行的关键。\u003C\u002Fp>\n\u003Ch3>MaaS自动驾驶车辆规模化需要何种技术？\u003C\u002Fh3>\n\u003Cp>一套可适配全生态的自动驾驶技术平台，必须具备软硬件通用性：可兼容多款车型、适配不同运营模式，既能搭载小型自动驾驶出租车，也可支撑接驳班车、公交、货运配送车等各类车型。\u003C\u002Fp>\n\u003Cp>这正是Mobileye自动驾驶平台\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fdrive\u002F\">Mobileye Drive™\u003C\u002Fa>的设计思路：多款车型、多个出行项目共用一套核心底层技术，研发成本可分摊至更大投放体量，提升自动驾驶商业化规模化可行性。\u003C\u002Fp>\n\u003Cp>该平台技术基础包含定制化人工智能模型、传感器与算法冗余设计，以及Mobileye\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Frem\u002F\">智能路网\u003C\u002Fa>系统，可实现大规模道路数据实时持续更新。\u003C\u002Fp>\n\u003Cp>整套体系依托两大核心安全框架保驾护航： 责任敏感安全模型（\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">RSS\u003C\u002Fa>）：具备规范化定义的安全模型，为行业与监管机构界定自动驾驶安全行驶建立统一评判标准；以及主系统-监护系统-备用系统（Primary-Guardian-Fallback，\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fthe-mobileye-safety-methodology-for-fully-autonomous-driving\u002F\">PGF\u003C\u002Fa>）：融合式架构设计，增设独立防护层，通过标准化安全逻辑对每一项行车决策进行实时监测与校验。\u003C\u002Fp>\n\u003Cp>不同地区监管政策差异显著，这套统一通用的安全框架不仅具备实用价值，更是规模化落地的必要基础。\u003C\u002Fp>\n\u003Ch3>规模化不止需要协同，更需要公众信任\u003C\u002Fh3>\n\u003Cp>自动驾驶出租车落地过程中最容易被忽视的难点，是公众接纳度。自动驾驶车辆行驶于公共道路，服务辖区民众不仅要认可其技术安全性，更要建立制度层面的信任感。这份信任来源于运营透明度、可验证的安全表现，以及与深谙社区需求的监管机构、地方当局和交通管理部门的实质性沟通。\u003C\u002Fp>\n\u003Cp>全球不存在统一的落地模板。各地监管规则、城市路网格局、乘客出行偏好各不相同。一座城市的成熟方案无法直接照搬复用。成功的规模化推广，要求技术体系与运营模式必须具备灵活适配能力，同时在各类场景下严守统一安全底线。\u003C\u002Fp>\n\u003Ch3>前景展望\u003C\u002Fh3>\n\u003Cp>想要成功落地出行即服务模式，合作方必须吃透完整产业生态，不能仅掌握自动驾驶技术，还需具备整车集成、车队运营、乘客服务运营、合规对接等全套规模化落地能力。\u003C\u002Fp>\n\u003Cp>对应不同市场需求，可分为两种布局路径：一是垂直整合模式，打通软件、硬件乃至整车自研生产全链条；二是融入现有成熟生态，与已具备自身能力的车企、车队运营商、出行平台协同合作。\u003C\u002Fp>\n\u003Cp>但无论选择哪条路径，自动驾驶技术始终只是出行即服务与自动驾驶出租车整体布局中的一环。\u003C\u002Fp>\n\u003Cp>Mobileye正同时向这两个方向发力：一方面，公司近期推出垂直整合自动驾驶出租车业务，可为有一体化需求的合作伙伴提供集自动驾驶系统、车队运营、乘客服务、出行管理于一体的整体打包方案；另一方面，持续输出自动驾驶核心技术与运营经验，赋能将Mobileye软件栈与自身在生态系统中其他能力相结合的合作伙伴。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",[78,108],{"id":189,"type":142,"url":190,"title":191,"description":192,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":192,"image":193,"img_alt":194,"content":195,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":196,"tags":197},329,"mobileye-to-establish-vertically-integrated-robotaxi-business","Mobileye 将打造垂直整合Robotaxi业务","全新业务布局突破原有自动驾驶系统供应商定位，与现有车企、移动出行合作项目形成互补","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F86fdfc495d3212c3c26221fbe4f90e66_1781548502451.webp","Mobileye 拟推出的Robotaxi服务概念示意图。","\u003Cp>\u003Cstrong>中国上海，2026年6月16日\u003C\u002Fstrong> — Mobileye 今日宣布，计划进一步拓展自动驾驶出租车（Robotaxi）业务版图，从提供自动驾驶技术延伸至自主运营自动驾驶网约车服务。该新项目计划于2027年率先落地美国一座城市，标志着Mobileye战略的重要升级。届时，Mobileye将整合行业领先自动驾驶技术、车队运营、乘客出行服务与出行管理能力，打造垂直整合解决方案。这一新业务是在Mobileye现有商业模式基础上的进一步拓展 —— Mobileye将继续作为自动驾驶技术供应商，为全球汽车制造商和出行服务提供商提供解决方案，在持续为客户部署提供支持的同时，增设全新运营板块。\u003C\u002Fp>\n\u003Cp>目前 Mobileye Drive 作为独立自动驾驶系统，正整合进合作伙伴项目。根据新举措的规划，Mobileye将打通Robotaxi价值链，依托Mobileye Drive系统，整合旗下Moovit出行平台及消费端应用、多模式出行规划、自动驾驶运营调度、车队管理技术以及远程协助基础设施。\u003C\u002Fp>\n\u003Cp>这一新举措不会改变Mobileye继续向汽车制造商、出行运营商及其他客户提供Mobileye Drive的承诺。公司将自营Robotaxi业务视作互补市场化路径，其将有助于加速自动驾驶落地部署，沉淀一线运营经验，并进一步验证Mobileye Drive平台的规模化应用能力。公司计划客户合作项目与自有运营车队双线同步推进。\u003C\u002Fp>\n\u003Cp>Mobileye规划首批部署约100台自动驾驶车辆，并于2027年开始在美国一座大都市投入运营。部署工作将分阶段推进，旨在验证完全无人驾驶条件下的整套运营模式。待首支车队稳定运营后，公司还计划大幅扩大业务规模，目标未来五年内将车队规模扩展至约17,000辆。\u003C\u002Fp>\n\u003Cp>Mobileye创始人兼首席执行官Amnon Shashua教授表示：“Robotaxi领域的变革才刚刚起步，其重塑全球出行方式的潜力仍在持续增长。随着自动驾驶出行赛道热度攀升，行业高度依赖为数不多的技术供应商与商业模式。而我们认为，可以开拓全新的发展路径，依托深厚的自动驾驶技术积淀、强大的产业合作生态、以及覆盖整个出行体系的成熟落地能力，构建差异化布局。 二十余年来，Mobileye持续深耕自动驾驶底层技术研发。如今我们迈出了新的重要一步：自研技术叠加自主运营，开创一套可实现财务层面规模化扩展、跨区域复制的全球化Robotaxi业务。我们计划于2026年底前在美国举办资本市场日活动，届时将分享更多有关商业化、技术及运营方面的详细信息。”\u003C\u002Fp>\n\u003Cp>为完善端到端自动驾驶平台，Mobileye将与自动驾驶整车平台厂商、车队运营商、车辆集成合作伙伴以及关键技术供应商展开合作。依托这套生态体系，Mobileye将通过统一的业务部门，统筹自有自动驾驶网约车服务的建设与运营。”\u003C\u002Fp>\n\u003Cp>Amnon Shashua教授补充道：“这一举措并非取代现有合作伙伴关系，而是在此基础上的延伸。我们将一如既往地通过Mobileye Drive赋能车企与出行服务商；与此同时，运营自有出行服务也有助于我们加快技术的市场采用，积累一手运营经验，充分释放自动驾驶出行的潜力。”\u003C\u002Fp>\n\u003Cp>Mobileye Drive沉淀25年以上的计算机视觉、地图、感知及自动驾驶技术研发经验，搭载最新复合人工智能架构，融合多类AI算法，配套严谨的安全框架，并通过工程化架构实现落地。全球已有超2.3亿台车辆搭载Mobileye技术，在业内积累了业内领先的真实道路经验。\u003C\u002Fp>\n\u003Cp>这一业务布局同时也拓展了Moovit原有的业务战略。Moovit致力于解决复杂城市环境下，用户查询、规划、使用公共交通服务的全流程需求。Moovit出行平台覆盖全球112个国家、3500余座城市，支持45种语言，服务超17亿用户。Moovit在消费者出行服务、多模式线路规划、用户运营和车队运营方面的专业知识，为公司在全球范围内扩展自动驾驶出行服务提供了关键基础。\u003C\u002Fp>\n\u003Cp>___________________________________\u003C\u002Fp>\n\u003Ch6>Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the global adoption of advanced driver-assistance systems that save countless lives and reduce crashes, while pioneering groundbreaking technologies such as REM™ crowdsourced road intelligence, Imaging Radar and Compound AI. These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading ADAS products. Through 2025, more than 230 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside. In 2026, Mobileye acquired Mentee Robotics to pursue the future of physical AI and humanoid robots. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\" target=\"_blank\" rel=\"noopener noreferrer\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fh6>\n\u003Ch6>“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fh6>\n\u003Ch6>Forward-Looking Statements\u003C\u002Fh6>\n\u003Ch6>This press release contains forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Statements in this release that are not statements of historical fact are forward-looking statements and should be evaluated as such, including statements regarding Mobileye’s expansion into a full ownership of an autonomous ride-hailing business, and the impact and potential benefits to Mobileye’s business. These statements often include words such as “anticipate,” “expect,” “suggests,” “plan,” “believe,” “intend,” “estimates,” “targets,” “projects,” “should,” “could,” “would,” “may,” “will,” “forecast,” or the negative of these terms, and other similar expressions, although not all forward-looking statements contain these words. We base these forward-looking statements or projections, including Mobileye’s full-year guidance, on our current expectations, plans and assumptions that we have made in light of our experience in the industry, as well as our perceptions of historical trends, current conditions, expected future developments and other factors we believe are appropriate under the circumstances and at such time. You should understand that these statements are not guarantees of performance or results. The forward-looking statements and projections are subject to and involve risks, uncertainties and assumptions and you should not place undue reliance on these forward-looking statements or projections. Although we believe that these forward-looking statements and projections are based on reasonable assumptions at the time they are made, you should be aware that many factors could affect our actual financial results or results of operations and could cause actual results to differ materially from those expressed in the forward-looking statements and projections. Detailed information regarding these and other factors that could affect Mobileye’s business and results is included in Mobileye’s SEC filings, including the company’s Annual Report on Form 10-K for the year ended December 27, 2025, particularly in the section entitled “Item 1A. Risk Factors”. Copies of these filings may be obtained by visiting our Investor Relations website at \u003Ca href=\"http:\u002F\u002Fir.mobileye.com\" target=\"_blank\" rel=\"noopener noreferrer\">ir.mobileye.com\u003C\u002Fa> or the SEC’s website at \u003Ca href=\"http:\u002F\u002Fwww.sec.gov\" target=\"_blank\" rel=\"noopener noreferrer\">www.sec.gov\u003C\u002Fa>.\u003C\u002Fh6>\n\u003Cp> \u003C\u002Fp>","2026-06-16T07:00:00.000Z",[141,50,78,108,65],{"id":199,"type":142,"url":200,"title":201,"description":202,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":202,"image":203,"img_alt":204,"content":205,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":206,"tags":207},328,"mobileye-named-frost-sullivan-2026-company-of-the-year-in-global-passenger-vehicle-adas-industry","Mobileye 获评沙利文2026全球乘用车ADAS行业年度企业","获评沙利文颁发的行业最高殊荣，彰显了Mobileye 在具有可扩展性的ADAS解决方案领域的全球领先市场地位","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe7e8d7d2c7a864e2f2954f77ef7fb433_1780311707950.jpg","沙利文评估了全球领先的ADAS 供应商，考察指标涵盖创新能力、财务表现以及客户影响力等多个维度。","\u003Cp>\u003Cstrong>中国上海，2026年6月1日 \u003C\u002Fstrong>-- Mobileye（纳斯达克股票代码：MBLY）宣布公司荣获弗若斯特沙利文（Frost & Sullivan，以下简称“沙利文”）2026年度全球乘用车高级驾驶辅助系统（ADAS）行业卓越实践类年度企业。这一殊荣肯定了Mobileye在人工智能驱动型ADAS解决方案领域的优势地位，其方案能够有效回应全球车企日益提升的安全诉求与规模化落地需求。\u003C\u002Fp>\n\u003Cp>沙利文的分析指出，在 ADAS 领域，Mobileye 作为业内领先的解决方案提供商脱颖而出。依托一套贯通基础ADAS至完全自动驾驶解决方案的通用技术架构，Mobileye在四个关键维度上均展现出自身优势，包括架构可扩展性、成本管控、安全公信力及真实世界场景验证。报告特别指出了Mobileye通过灵活的合作模式，将客户需求转化为实际落地应用的能力——车企可根据自身特定需求，选择仅采购芯片，或开展全栈合作，或采用二者不同程度相结合的合作模式。\u003C\u002Fp>\n\u003Cp>Mobileye首席运营官Kobi Ohayon表示：“当下全球车企愈发需要既能提升安全性，又能提供全新驾驶自动化服务的系统。而我们通过针对性的战略制定和落地执行，能够在行业规模化进程中应对这些挑战。我们能够助力车企打造适配本地驾驶环境、能够在真实世界场景中可靠运行的解决方案。来自沙利文的这一肯定，也进一步印证了我们的路线在行业内引发了广泛认可。”\u003C\u002Fp>\n\u003Cp>沙利文的报告以Mobileye在印度等新兴市场取得的成功为例，肯定了公司在复杂驾驶环境中实现有效部署的能力。过去，这类环境通常被认为过于复杂，难以开展具有现实意义的 ADAS 部署。而Mobileye秉持安全优先的设计理念，在持续稳固主流市场领先地位的同时，也在积极拓展发展中市场，致力于挖掘全球增量机遇。针对越南、泰国、南美、非洲等地区，公司也通过推出定制化产品，应对当地独特的驾驶场景。全球化地域布局的扩展，彰显了Mobileye坚持在成熟市场标准化道路体系之外，开展高等级ADAS技术测试与落地的决心。\u003C\u002Fp>\n\u003Cp>Mobileye的技术核心是模块化的EyeQ6系统集成芯片产品组合。其中EyeQ6 High与EyeQ6 Lite可支持多等级ADAS系统的高性能感知与传感器融合。公司的智能路网技术依托来自全球超800万台车辆的众源数据，持续优化高精地图，构建起业内领先的真实世界验证与规模化扩展平台之一。Mobileye在人工智能与芯片设计领域的持续进展，推动着其整体产品组合的创新发展，包括其自研的环绕式ADAS、驾驶员监测系统（DMS）等产品。这些创新为车企提供了具备成本效益的ADAS功能，同时为迈向更高等级的驾驶自动化提供了切实可行的路径，并支持其达成整车架构整合的目标。\u003C\u002Fp>\n\u003Cp>沙利文的“年度企业”是该机构颁发的最高行业殊荣。这一评选综合考量了全球乘用车ADAS市场中主流供应商的前瞻创新、财务表现、客户价值等多个维度。完整报告详见\u003Ca href=\"https:\u002F\u002Fwww.frost.com\u002Fwp-content\u002Fuploads\u002F2026\u002F05\u002FMobileye-Final-Report.pdf\">此处\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2026-06-01T07:00:00.000Z",[57,114,108],{"id":29,"type":14,"url":30,"title":31,"description":32,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":32,"image":33,"img_alt":209,"content":210,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":34,"tags":211},"自动驾驶系统必须具备对罕见的边缘案例的检测、理解与响应能力，以确保其在真实驾驶环境中安全地实现规模化应用。","\u003Cp>随着自动驾驶汽车在全球范围内加速部署，其现有技术的性能瓶颈也日益凸显。近期，自动驾驶系统在面对非常规或不确定场景时，表现受限的新案例不断涌现。自动驾驶技术研发人员将这类工况称作“长尾效应” ——该术语源自于统计学指代难以建模的边缘案例。能否攻克长尾挑战，将直接决定自动驾驶的未来形态：是受限于严格地理围栏的区域性自动驾驶出租车（Robotaxi），还是兼具高适配性和广泛社会效益的自动驾驶。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fec6bd20a1c635032055aa6e37bf961d2_1779871783016.webp\" \u002F>自动驾驶汽车需要应对的各类非常规和罕见驾驶场景\u003C\u002Fp>\n\u003Cp>这类场景构成了“物理AI”的核心挑战：设备需要在变化无穷的真实驾驶环境中实现安全运行。尽管人类的驾驶环境绝大多数情况都是规律且常规的，但恰恰是那极少比例的异常事件，最严苛地考验着系统的智能与安全性，而在这些场景下，任何一次失误的代价都极其高昂。\u003C\u002Fp>\n\u003Cp>如需深入了解Mobileye技术方案背后的理论依据，可参阅Amnon Shashua教授与Shai Shalev-Shwartz教授发布的两篇配套技术博文：一篇深入剖析\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fwhy-learning-from-data-gets-harder-in-the-tail\u002F\">自动驾驶长尾效应\u003C\u002Fa>的数学结构，另一篇则详解本次全新发布的两大核心技术引擎\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fdriving-the-long-tail\u002F\">Meteor与Genario所依托的AI方法论\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp>凭借多年研发驾驶辅助与自动驾驶技术的经验，我们总结出一条关键结论：数据规模必不可少，但单靠它还远远不够。绝大多数驾驶数据包含常规驾驶行为、车道保持、交通信号灯识别，以及规律通行下车流等。当自动驾驶系统需要在罕见的边缘案例中持续优化表现、实现极低出错率时，仅靠采集更多数据和扩展计算规模将导致边际收益递减。\u003C\u002Fp>\n\u003Cp>行业需要更高效的规模化发展思路：打造能够识别关键故障、分析故障成因，并针对问题开展系统性训练的技术体系。\u003C\u002Fp>\n\u003Cp>依托全球超过 2.3 亿辆车辆、逾 25 年的部署经验，Mobileye多年来持续研发适配真实驾驶环境的技术架构与验证体系。作为持续演进的一部分，我们推出两款自研AI工具：Meteor（基于假设驱动型数据挖掘引擎）与Genario（定向场景仿真器）。他们协作工作旨在系统性解决长尾问题，并进一步助力自动驾驶在全球范围内规模化部署。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Meteor\u003C\u002Fstrong>\u003Cstrong>：将偶发故障转化为自动化结构化学习\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>目前多数自动驾驶系统仅将故障（失效事件）片段当作海量数据中彼此独立的零散案例。行业面临的难题，不仅在于发现故障，更要甄别出具备代表性、可复现的系统短板，并开展系统性优化。\u003C\u002Fp>\n\u003Cp>Meteor是Mobileye专为自动驾驶打造的多智能体AI数据分析平台。该平台汇聚了不同国家、天气、道路类型及交通环境下累计数百万小时的驾驶数据，依托先进的视觉语言模型（VLM）特征提取技术与自动化推理流程，实现视频数据的规模化处理与分析。\u003C\u002Fp>\n\u003Cp>Meteor并非针对几乎无法复现、不具备训练价值的“黑天鹅”事件，而是聚焦可复现故障：也就是系统反复出现判断偏差的场景，例如局部被遮挡的行人、行为意图模糊的道路使用者，或密集交通中的异常交互。\u003C\u002Fp>\n\u003Cp>该系统可全程模拟AI数据分析师的工作逻辑，自动识别故障事件、推导故障诱因、生成语义检索指令，在全网数据中检索同类场景。随后提取补充案例开展测试，判断是否存在系统性技术缺陷。一旦问题得到验证，Meteor会自动筛选高价值训练样本，优化模型在对应边缘案例中的表现。\u003C\u002Fp>\n\u003Cp>Meteor的独特优势在于：从故障发现、成因假设、场景检索、结果验证到训练样本生成，全流程实现自动化、规模化运转。该方法基于Mobileye复合人工智能架构搭建，将端到端AI模型作为组件融入整套系统，兼顾高透明度、可验证性与规模化安全能力。Mobileye不再需要被动等待罕见故障在数十亿公里的行驶里程中随机重现，而是能够主动识别有价值的学习盲区，在关键场景快速完成性能优化。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9d15a21f7311459ea8f27577f9bec744_1779869756952.webp\" \u002F>\u003C\u002Fh6>\n\u003Ch6>\u003Cstrong>第一步：故障发生与成因假设\u003C\u002Fstrong>\u003Cbr \u002F>Meteor会自动分析数百万小时的驾驶数据，以识别可复现故障，例如图中所示未检测到道路危险物。然后推导成因假设：当低矮、小体积或视觉上模糊的障碍物与路面融为一体、处于远距离、亦或缺乏强语义先验信息支持时，模型会降低其识别优先级。若障碍物外形特殊、画面对比度低、可视区域受限，或是在行驶路径中出现位置不合常规的危险物，系统的检测置信度也会随之下降。\u003C\u002Fh6>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc6b2f06feb5841ffadf8492ba156d3fd_1779869826634.webp\" \u002F>\u003C\u002Fp>\n\u003Ch6>\u003Cstrong>第二步：基于假设开展场景检索\u003C\u002Fstrong>\u003Cbr \u002F>Meteor生成语义检索指令，检索各类相关场景，以此验证或修正此前推导的故障成因假设。\u003C\u002Fh6>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F579ffd80676723695e447fc74b4a3da4_1779869863501.webp\" \u002F>\u003C\u002Fp>\n\u003Ch6>\u003Cstrong>第三步：结果验证与训练样本扩充\u003C\u002Fstrong>\u003Cbr \u002F>若检索结果印证故障假设，Meteor会从全网数据中筛选典型边缘案例，通过定向训练系统性优化并提升模型性能。\u003C\u002Fh6>\n\u003Ch3>\u003Cstrong>利用生成式\u003C\u002Fstrong>\u003Cstrong>AI\u003C\u002Fstrong>\u003Cstrong>拓展实景边界：认识\u003C\u002Fstrong>\u003Cstrong>Genario\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>一旦识别出有意义的故障模式，接下来的挑战就是规模化。真实驾驶环境中的边缘案例本就十分罕见，即便成功被发现，可用样本也往往寥寥无几。Genario的作用就是结合Meteor输出结果（具体故障类型、根本诱因及触发条件），生成定向训练数据。\u003C\u002Fp>\n\u003Cp>这款模拟器将故障案例重构为完全合成的、照片级逼真的驾驶情景，随后可以在无数个受控变量中进行扩展。同一个基础场景，可切换昼夜、雨雪、眩光、大雾等环境，同时调整道路布局、障碍物位置与能见度条件。通过细微的参数改动，即可打造全新的感知与决策测试场景。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cdiv class=\"videoEmbed customEmbed\">\u003Cvideo src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fc80e5cbc8630b14e0e0fd97011232fd8_1779878846833.mp4\" autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"300\" height=\"150\">\u003C\u002Fvideo>\u003C\u002Fdiv>\n\u003Ch6>\u003Cstrong>利用Genario生成全新的边缘案例\u003C\u002Fstrong>\u003Cbr \u002F>结合Meteor已验证的故障模式，Genario通过变换障碍物的形状、尺寸、位置与道路环境，可自动生成虚拟行车场景，全面拓宽定向训练的场景覆盖范围。\u003C\u002Fh6>\n\u003Cdiv class=\"videoEmbed customEmbed\">\u003C\u002Fdiv>\n\u003Cdiv class=\"videoEmbed customEmbed\">\u003Cvideo src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fa6ae32e9439885c4d427f1168878754f_1779878822645.mp4\" autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"300\" height=\"150\">\u003C\u002Fvideo>\u003C\u002Fdiv>\n\u003Ch6>\u003Cstrong>多维度扩展环境条件\u003C\u002Fstrong>\u003Cbr \u002F>Genario可系统性切换光照、天气、能见度等条件，模拟降雨、降雪、眩光、夜间、大雾等各类场景，让自动驾驶系统能够批量针对更广泛的真实边缘案例组合进行训练。\u003C\u002Fh6>\n\u003Cp>目标并非取代真实驾驶环境中的行车数据，而是对其形成有效补充，尤其适用于长尾场景。因为仅依靠真实路采数据，无法快速完成这类场景的全覆盖。依托Genario，我们可以主动对系统开展压力测试，模拟各类罕见却具备实际意义的事件，同时精准把控测试环境的各项条件。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>超越数据本身的自动驾驶规模化\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>如今行业已具备采集海量驾驶数据的能力，而下一轮技术突破的核心，是从这些数据中挖掘最具价值的学习机会，并进行智能化运用。\u003C\u002Fp>\n\u003Cp>正因如此，Mobileye打造了Meteor与Genario作为自动驾驶汽车开发的更广泛AI工具矩阵的重要部分，专门用于系统性攻克长尾挑战。两套系统融合前沿人工智能，同时依托面向规模化部署与安全性设计的架构，代表着Mobileye在自动驾驶系统研发与验证体系上的全新升级。\u003C\u002Fp>\n\u003Cp>随着自动驾驶在全球范围内规模化部署，能够解决长尾挑战的AI驱动型解决方案终将成为行业必备具。我们相信，技术进步不仅仅源自于数据与算力的叠加，更要在边缘案例的挖掘、理解与解决能力上，实现智能的规模化进阶。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F66522fe8fb32dcd3e9616e1f93b84713_1779867346779.webp\" \u002F>\u003Cspan class=\"caption\">Meteor界面\u003C\u002Fspan>\u003C\u002Fp>",[65],{"id":37,"type":14,"url":38,"title":39,"description":40,"primary_tag":59,"author_name":18,"is_hidden":47,"lang":173,"meta_description":40,"image":41,"img_alt":213,"content":214,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":42,"tags":215},"本文将解析TÜV南德如何开展自动驾驶安全评估，以及Mobileye安全管理系统如何满足SAE L4级自动驾驶系统与欧盟落地应用规范。","\u003Cp>在乘员、道路使用者及全行业层面建立自动驾驶安全公信力，是实现自动驾驶规模化落地的必经之路。而获取独立第三方认证认可，是构建安全公信力的核心环节。\u003C\u002Fp>\n\u003Cp>2026年3月，独立认证机构\u003Ca href=\"https:\u002F\u002Fwww.tuvsud.com\u002Fen\">TÜV南德\u003C\u002Fa>正式认可推荐适用于\u003Ca href=\"https:\u002F\u002Fwww.sae.org\u002Fnews\u002Fblog\u002Fsae-levels-driving-automation-clarity-refinements\">SAE L4级自动驾驶系统\u003C\u002Fa>的Mobileye安全管理系统。该认可结论基于对Mobileye安全管理系统的独立评估，标志着在满足自动驾驶大规模商业化落地标准方面迈出重要一步。\u003C\u002Fp>\n\u003Ch3>TÜV南德机构简介\u003C\u002Fh3>\n\u003Cp>TÜV南德是全球性测试、检验与认证机构，致力于保障各类产品及系统契合安全与法规标准。该机构业务覆盖多个行业，包括汽车领域，负责评估高级驾驶辅助系统（ADAS）与自动驾驶技术，此类技术在日常道路安全中的作用正日益凸显。\u003C\u002Fp>\n\u003Cp>对于主机厂与科技供应商而言，TÜV南德独立于研发流程之外，是客观、可信、中立的技术认证主体。其出具的认证，代表相关技术在功能安全、感知系统、网络安全、软件升级等核心维度契合行业主流标准。\u003C\u002Fp>\n\u003Cp>实操层面，上述标准不仅保障自动驾驶系统设计运行安全，同时可覆盖极端场景、筑牢网络安全防线、适配持续迭代的法规要求，为自动驾驶安全规模化落地提供支撑。\u003C\u002Fp>\n\u003Ch3>Mobileye 如何满足TÜV南德标准？\u003C\u002Fh3>\n\u003Cp>Mobileye将安全管理系统纳入SAE分级自动驾驶平台研发体系，经TÜV南德审核人员评审后，获得系统符合性审核报告的正式推荐，证明其安全管理系统契合欧盟2022\u002F1426法规相关要求。\u003C\u002Fp>\n\u003Cp>本次审核历时一年，对Mobileye全球多地自动驾驶研发、测试及落地全流程的作业规范、管理制度、安全权责组织架构进行了详尽核查。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F5a3da6349508ef9df33d0f61d277dfac_1777543320294.jpg\" alt=\"\" width=\"1200\" height=\"690\" \u002F>\u003C\u002Fp>\n\u003Ch3>TÜV南德认证的行业意义\u003C\u002Fh3>\n\u003Cp>满足区域法规标准，是自动驾驶从限定场景、地理围栏场景走向真实道路商用落地的关键。对Mobileye旗舰自动驾驶平台\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fdrive\u002F\">Mobileye Drive™\u003C\u002Fa>而言，持续对标各类行业标准，为其获得监管审批、实现大规模商业化部署创造更清晰的路径。\u003C\u002Fp>\n\u003Cp>Mobileye荣获此项认证，进一步彰显在自动驾驶与高级驾驶辅助领域的安全性承诺，也印证其面向商业部署的可量产自动驾驶系统的成熟度。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",[71],{"id":217,"type":14,"url":218,"title":219,"description":220,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":220,"image":221,"img_alt":222,"content":223,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":224,"tags":225},322,"three-reasons-camera-first-adas-enables-scalable-automated-driving","三大因素支撑以摄像头为核心的ADAS助力规模化自动驾驶","当下诸多自动驾驶功能均依托于一个看似极为简单的核心部件: 摄像头。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F573bcfd215b643fabfb9d60a78d2d4cf_1776346572665.png","摄像头传感器具备量产的成本优势","\u003Cp>目前，高级驾驶辅助系统（ADAS）已实现跨越式发展，越来越多的驾驶员开始体验驾驶自动化功能。但人们往往容易忽略，Mobileye提供的绝大多数驾驶辅助技术，均以摄像头为起点。\u003C\u002Fp>\n\u003Cp>尽管Mobileye的产品也采用激光雷达与雷达来构成完整的感知系统，但其以摄像头为核心的技术路线，仍是实现规模化驾驶辅助与自动驾驶功能的基础。\u003C\u002Fp>\n\u003Cp>本文将从三大因素，解析为何Mobileye以摄像头为核心的方案是构建高可靠性、规模化驾驶辅助及自动驾驶技术与多元应用场景的核心根基。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>1. 摄像头传感器在ADAS中可模拟人类视觉感知\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>道路基础设施在设计之初便是为了适配人眼视觉，毕竟驾驶的主体始终是人类。车载摄像头可精准捕捉交通信号灯、道路标识、车道线、以及其他道路参与者，这类视觉信息是摄像头独有的采集与解析对象，可对激光雷达与雷达传感器的感知提供有效补充。\u003C\u002Fp>\n\u003Cp>事实上，仅需一颗前向摄像头搭配优化计算架构，车辆即可实现车道偏离预警、前向行人检测等ADAS功能，甚至能够\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fwhat-is-fmvss-127-and-how-can-mobileye-help-automakers-comply\u002F\">满足核心安全要求\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp>多摄像头配置则可进一步提升检测精度，构建更全面的车载感知系统，实现对\u003Ca href=\"https:\u002F\u002Fwww.euroncap.com\u002Fen\u002Fcar-safety\u002Fthe-ratings-explained\u002Fvulnerable-road-user-vru-protection\u002Faeb-pedestrian\u002F\">周边骑车人、行人及汇入车辆的检测\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F27a28e92c80a34ee136d43235b8018ab_1776356029022.png\" alt=\"\" width=\"1200\" height=\"675\" \u002F>\u003C\u002Fp>\n\u003Cp>Mobileye平台支持多样化摄像头方案，从基础驾驶辅助系统的单前向摄像头，到高阶平台的多摄像头环绕式系统均有覆盖。典型的环绕式方案包含一颗高分辨率前向摄像头，辅以车身周边布置的多颗辅助摄像头，可共同支持高速公路导航辅助、盲区监测、自动变道辅助以及自动泊车等低速操控场景。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>2. 摄像头成本可控，适于大规模量产\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>汽车制造业对成本极度敏感。相较于其他类型传感器，摄像头传感器生产成本更低，极具性价比，高度适配规模化量产。\u003C\u002Fp>\n\u003Cp>基于摄像头的方案，可以更简便地在数百万辆车型上实现高阶部署——无论是搭载 \u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fadas\u002F\">Mobileye Surround ADAS™\u003C\u002Fa> 和 \u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fsuper-vision\u002F\">SuperVision™\u003C\u002Fa> 的多摄像头配置，还是集成 \u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fchauffeur\u002F\">Chauffeur™\u003C\u002Fa> 与 \u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fdrive\u002F\">Drive™\u003C\u002Fa> 等多模态传感器融合的全无人驾驶系统。\u003C\u002Fp>\n\u003Cp>车企可通过增设摄像头与配套计算单元，在不同级别车型上实现功能拓展，同时维持适配大众市场车型的成本结构。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3c17b9e26e2dbf729d99070b6d1dc101_1776356049904.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>3. 以视觉为核心的感知方案可高效构建稳固的系统基础 \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>高级驾驶辅助技术需依托完备的技术栈实现，而核心问题在于如何高效、高性价比地搭建相关功能。Mobileye 在系统设计上始终坚持以视觉感知为中心，将其作为车辆理解道路环境的核心逻辑。\u003C\u002Fp>\n\u003Cp>摄像头采集驾驶环境信息，基于人工智能的感知系统解析视觉数据，识别车辆、行人、车道线、交通信号灯以及其他关键道路要素，形成对驾驶场景的全面感知。结合前沿人工智能技术，系统可通过车身多颗摄像头重构三维深度信息，而无需采用传统的双目立体匹配。\u003C\u002Fp>\n\u003Cp>在完成场景解析后，智能路网、驾驶决策、安全模型等系统模块将依托该信息，实现安全智能的驾驶行为。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>实战验证是核心要义\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye自研\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ™\u003C\u002Fa>系统集成芯片是将原始视觉数据转化为完整驾驶环境感知的核心载体。\u003C\u002Fp>\n\u003Cp>归根结底，可规模化驾驶辅助系统的起点是感知。Mobileye以摄像头为核心的架构将视觉作为系统的重心，搭建了从基础安全功能到高等级驾驶自动化功能的实用化落地路径。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2026-04-16T07:00:00.000Z",[57],{"id":227,"type":142,"url":228,"title":229,"description":230,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":230,"image":231,"img_alt":232,"content":233,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":234,"tags":235},321,"mobileye-secures-major-dms-production-program-with-leading-us-automaker","Mobileye斩获美国头部车企驾驶员监测系统（DMS）大型量产定点项目","Mobileye DMS™平台获全球车企青睐，此次新单将延续Mobileye车内感知业务增长势头","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F8bfc2d66bf2b488ba43e4ea74cf956e3_1774268681384.png","Mobileye DMS™能够联动驾驶员视线、注意力状态与实时道路情境，更智能地识别分心驾驶行为","\u003Cp>\u003Cspan data-contrast=\"auto\">\u003Cstrong>中国上海，2026年3月23日\u003C\u002Fstrong> — Mobileye（纳斯达克股票代码：MBLY）今日宣布，一家美国头部车企将在其搭载Mobileye EyeQ6L系统集成芯片的未来车型中集成Mobileye驾驶员监测系统（Mobileye DMS™），计划于2027年启动量产。这一新项目拓展了与该车企客户现有组合辅助驾驶系统（ADAS）项目的合作范围与功能配置，预计量产规模达数百万辆，将覆盖多款车型、多个年款。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>Mobileye车内感知平台涵盖驾驶员监测系统（DMS）与乘员监测系统（OMS），可与ADAS感知算法在单颗芯片上并行运行。平台能够融合车辆内部感知与车外道路感知，基于驾驶环境的具体情境来评估驾驶员参与度，不仅可判断驾驶员是否处于警觉状态，还能监测其视线方向，以及注意力是否与实时道路状况匹配。\u003C\u002Fp>\n\u003Cp>之前，Mobileye DMS和OMS已获一家全球车企青睐，将被集成到基于EyeQ6H的SuperVision™及环绕式ADAS™方案中，而此次新项目是此前业务的成功延续。这些项目共同体现出，车企日益希望将驾驶员监测、乘员安全与辅助驾驶功能整合，从而告别独立DMS电子控制单元（ECU）带来的额外成本与系统复杂度。\u003C\u002Fp>\n\u003Cp>Mobileye业务发展与战略执行副总裁Nimrod Nehushtan 表示：“新一代辅助驾驶需要车辆全维度、更丰富的情境信息，包括前方道路、车辆内部以及二者的交互关联。与此同时，车企希望在全系车型中规模化搭载辅助驾驶功能，同时避免额外的硬件成本与复杂的系统集成工作。Mobileye DMS兼顾两大需求，可在单一ADAS芯片及ECU平台上实现情境感知驾驶员监测。这样的功能集成正是Mobileye独有的优势，我们期待助力客户实现规模化量产落地。”\u003C\u002Fp>\n\u003Cp>随着运动脱离驾驶功能向非豪华车型普及，确保驾驶员切实关注道路状况，是该功能安全落地的关键。Mobileye DMS可联动ADAS摄像头采集的真实路况与驾驶员视线，识别仅靠车内独立系统无法捕捉的分心行为，同时判断驾驶员是否已感知路况。该系统能够减少误报，实现更精准的干预控制；针对更高等级的驾驶自动化，可基于驾驶员参与度，更智能地发出接管请求。\u003C\u002Fp>\n\u003Cp>该平台旨在满足欧洲新车安全评鉴协会（Euro NCAP）2026版评分要求，同时前瞻性地着眼于Euro NCAP 2029版规程的潜在升级方向，预计届时评测标准将从单纯的眼球追踪提升至有效驾驶参与度检测。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">About Mobileye\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the global adoption of advanced driver-assistance systems that save countless lives and reduce crashes, while pioneering groundbreaking technologies such as REM™ crowdsourced road intelligence, Imaging Radar and Compound AI. These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading ADAS products. Through 2025, about 230 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside, and in 2026 Mobileye acquired Mentee Robotics to pursue the future of physical AI and humanoid robots. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=54421863&newsitemid=20260210772101&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=1&md5=cfa04b95770b8044fedb93639c4fc56e\">\u003Cspan data-contrast=\"auto\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye's name, product names, product marks and logos are trademarks or registered trademarks of Mobileye Vision Technologies Limited. Other names and brands are the property of their respective owners.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Any reference to \"Mobileye\" in this document means Mobileye Vision Technologies Ltd., Mobileye Global Inc. or any of their subsidiaries.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>","2026-03-23T07:00:00.000Z",[57],{"id":237,"type":14,"url":238,"title":239,"description":240,"primary_tag":77,"author_name":18,"is_hidden":47,"lang":173,"meta_description":240,"image":241,"img_alt":242,"content":243,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":244,"tags":245},320,"from-neighborhoods-to-networks-how-grorud-valleys-maas-enriched-public-transit","从社区到网络: 奥斯陆Grorud Valley的出行即服务（MaaS）","探析自动驾驶“出行即服务”如何助力强化现有公共交通网络，并支持“第一公里”与“最后一公里”的衔接。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F2d61d6b749adeef7c328028aea90f7d2_1773837732827.jpg","Mobileye自动驾驶功能为项目提供技术支撑","\u003Cp>奥斯陆格罗鲁德河谷（Grorud Valley）是奥斯陆大都会区内的偏远居住区。居住区内居民通过参与一项有限的试点项目，亲身体验了自动驾驶“\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fdrive\u002F\">出行即服务（MaaS）\u003C\u002Fa>”在现实生活中的应用。\u003C\u002Fp>\n\u003Cp>在这次小规模试点中，Mobileye联合该区域的核心合作伙伴，共同探索自动驾驶汽车（AV）解决方案如何拓展郊区居民前往主要交通枢纽的出行覆盖面，践行欧洲更广泛自动驾驶出行愿景，并实现严苛冬季环境下的车辆正常运行。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>依托现有公共交通基础设施\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>与欧洲诸多城市相仿，奥斯陆拥有完善且发达的公共交通网络。可持续和创新出行的发展态势良好，但离开市中心后，出行服务水平显著下降。小型村镇与远郊地区公交班次稀疏、接驳能力有限，部分区域居民\u003Ca href=\"https:\u002F\u002Fwww.polisnetwork.eu\u002Farticle\u002Ftransport-poverty-on-the-agenda\u002F\">出行自由度受限\u003C\u002Fa>。步行、骑行等主动出行方式往往存在安全隐患或实用性不足，共享出行服务供给匮乏，这些都进一步推高了居民通勤至周边交通枢纽的成本与复杂度。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc548d129deb6b4fb9ac1a3d8342e07f3_1773838037929.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fp>\n\u003Cp>为破解这一难题，Mobileye携手相关核心机构，搭建试点规模自动驾驶汽车（AV）出行生态体系，并将其融入城市现有交通网络，为实现欧洲更广泛自动驾驶出行愿景迈出关键探索性的一步。\u003C\u002Fp>\n\u003Cp>该自动驾驶试点项目旨在实现居民与公共交通的无缝衔接，通过高效、智能、可持续的拼车出行服务，满足居民通勤、就学、购物等出行需求。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Mobileye\u003C\u002Fstrong>\u003Cstrong>、\u003C\u002Fstrong>\u003Cstrong>Holo\u003C\u002Fstrong>\u003Cstrong>与\u003C\u002Fstrong>\u003Cstrong>Ruter\u003C\u002Fstrong>\u003Cstrong>共同打造的拼车平台是什么样的？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>拼车平台\u003Ca href=\"https:\u002F\u002Fwww.autonews.com\u002Fsuppliers\u002Fnio-mobileye-autonomous-driving-tech-nears-norway-debut\u002F\">试点\u003C\u002Fa>于2023年1月启动，由Mobileye与奥斯陆公共交通管理局Ruter和车队管理提供商\u003Ca href=\"https:\u002F\u002Fwww.letsholo.com\u002F\">Holo\u003C\u002Fa>合作开展，车辆在指定的上下客点（PUDO）之间运行。\u003C\u002Fp>\n\u003Cp>居民通过应用程序APP预约拼车服务，实现前往火车站、学校、超市、社区中心等核心交通枢纽。所有车辆在限定的设计运行范围内实现自动驾驶，并配备一名安全员全程监管。试点项目部署了六辆搭载Mobileye Drive™系统一代的研发车辆。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>北欧冬季环境下的自动驾驶\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>北欧地区的核心挑战在于极端严苛的冬季气候，长期降雪、结冰及低能见度天气，不利于车辆的安全行驶。而在试点期间，凭借强大的感知与人工智能（AI）能力，Mobileye Drive™系统保障了车辆全冬季持续运营，试点期间无上下客点（PUDO）因天气原因而停用。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Faf0a6131d2fe4999f482329344e831d0_1773848447547.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>展现可规模化自动驾驶\u003C\u002Fstrong>\u003Cstrong>MaaS\u003C\u002Fstrong>\u003Cstrong>的潜力\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Holo与Ruter负责服务设计和上下客点（PUDO）布局，实现社区高密度覆盖；Mobileye则提供自动驾驶功能，支撑真实场景下的车辆上下客功能。\u003C\u002Fp>\n\u003Cp>参与试点的居民使用该服务接驳现有的公共交通体系。据观察，该服务在学生群体中尤为普及，他们频繁往返于教育机构、火车站、超市和购物中心。\u003C\u002Fp>\n\u003Cp>因此，该首期试点得出两大核心结论：首先，将自动驾驶MaaS融入现有公共交通网络，可提升乘客出行服务体验；其次，伴随技术持续迭代，该模式具备向其他亟待优化公共交通的区域与城市规模化推广的潜力。\u003C\u002Fp>\n\u003Ch3>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa9b19cc068613ed91093d9e710cc5f9a_1773848480238.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fh3>\n\u003Ch3>\u003Cstrong>如何融入更广泛的欧洲愿景？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>该试点为区域后续自动驾驶汽车部署相关研讨提供了实践依据。近期，Ruter与Holo宣布\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fruter-and-holo-choose-moia-with-mobileye-drive-for-next-stage-of-avs\u002F\">联合MOIA\u003C\u002Fa>，将搭载Mobileye Drive™系统的ID. Buzz AD自动驾驶车辆引入到奥斯陆。\u003C\u002Fp>\n\u003Cp>这款车型由Mobileye提供技术支撑，配备4颗\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ\u003C\u002Fa>芯片、\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Frem\u002F\">REM™\u003C\u002Fa>系统及全套感知套件，以保障自动驾驶车辆顺畅运行。\u003C\u002Fp>\n\u003Cp>除奥斯陆格罗鲁德河谷（Grorud Valley）首期试点及后续阶段部署外，Mobileye的更宏大愿景是助力自动驾驶出行服务落地，惠及社区，推动交通出行服务薄弱地区的出行变革。\u003C\u002Fp>","2026-03-18T07:00:00.000Z",[78],{"id":247,"type":14,"url":248,"title":249,"description":250,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":250,"image":251,"img_alt":252,"content":253,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":254,"tags":255},319,"what-are-some-common-misconceptions-in-the-av-industry","自动驾驶汽车（AV）行业常见认知误区解读","本推文旨在厘清这一快速发展的领域中某些认知误区","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F2f4915cf46ad5205cd886cc1e4b2da45_1771416842474.jpg","自动驾驶：三大核心真相","\u003Cp>从自动驾驶的技术路线之争、驾驶风格差异，到规模化量产可行性的争议，误导性观点极易快速传播。本文梳理了行业内常见的认知误区，力求为这个正在高速发展的领域正本清源。 \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>问题一：自动驾驶只采用一种单一的“正确”\u003C\u002Fstrong>\u003Cstrong>AI\u003C\u002Fstrong>\u003Cstrong>技术路线吗？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"2\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">\u003Cstrong>误区：自动驾驶汽车只采用一种单一的\u003C\u002Fstrong>\u003Cstrong>AI\u003C\u002Fstrong>\u003Cstrong>技术路线\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli>\u003Cstrong>事实：融合路线具备显著价值。\u003C\u002Fstrong>人工智能是某些高阶ADAS功能与自动驾驶技术的核心支撑。但随着技术演进，关于何种AI方案更适配自动驾驶的讨论也在持续深化。 \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>一派观点认为，AI需要使用直接的原始传感器输入与数据（如摄像头、雷达数据）来学习驾驶功能。端到端AI便是典型方法。该模式下，输入数据量越大，系统表现越优异。经过海量多元驾驶数据训练后，有望实现高度自适应且类人化的驾驶行为。但其决策过程难以进行解释、验证或修改，从而增加了在不同地区与监督框架下部署的复杂性。\u003C\u002Fp>\n\u003Cp>另一派则采用模块化，或复合人工智能（Compound AI）架构，将感知、决策和规划拆分为独立层级。这种方法以安全与可预测性为设计目标，基于冗余设计，更贴合法规要求。\u003C\u002Fp>\n\u003Cp>Mobileye的复合人工智能方案正是将自动驾驶拆解为定义清晰的各个组件，采用模块化设计、多源独立感知与层级冗余，为各独立任务匹配最优工具并针对性优化，最终实现AI行为可解释、可调校、可验证。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>问题二：所有自动驾驶汽车的驾驶行为都一样吗？\u003C\u002Fstrong> \u003C\u002Fh3>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">\u003Cstrong>误区：各台自动驾驶汽车之间没有区别\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"3\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\">\u003Cstrong>事实：驾驶行为可定制、可调校，车企可借此体现品牌特质、地域驾驶风格与设计理念\u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>自动驾驶汽车并非千篇一律，也不应同质化。安全性和遵守交通规则是自动驾驶的核心基础，而驾驶策略决定了车辆在现实场景中的具体行为表现。自动驾驶汽车以及驾驶员运动脱离的驾驶系统不仅需要具备基本的平稳停车等灯、高速领航等功能，更应承载品牌调性与当地的驾驶文化。\u003C\u002Fp>\n\u003Cp>车辆的驾驶风格能够且应当体现品牌标志性特征。例如，有些品牌可能设计频繁变道逻辑，以便提升通勤效率，有些则优先考虑平顺并线，或在拥堵路况下采用更果断的驾驶方式，同时严守法规要求并满足终端用户的期望。\u003C\u002Fp>\n\u003Cp>部分车企认为，必须自研自动驾驶技术与驾驶策略才能掌控驾乘体验。但此举可能导致新车型上市周期延后、投入成本攀升。Mobileye DXP™可弥补这一鸿沟，车企能够依托Mobileye的模块化、可扩展技术平台，精细调校驾乘体验核心维度，快速开发高阶功能。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>问题三：运动脱离驾驶功能是否仅搭载于豪华车型？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">\u003Cstrong>误区：高阶自动驾驶目前无法普及至日常家用车型\u003C\u002Fstrong>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"4\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\">\u003Cstrong>事实：运动脱离驾驶功能正快速向大众市场车型普及\u003C\u002Fstrong> \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>“运动脱离驾驶功能仅属于豪华车”的观念已日渐过时。随着ADAS技术迭代与用户需求提升，自动驾驶体验正下沉至量产平台，走向大众化，满足用户对安全、舒适与便捷的持续需求。\u003C\u002Fp>\n\u003Cp>据IDTechEx报告，\u003Ca href=\"https:\u002F\u002Fwww.idtechex.com\u002Fen\u002Fresearch-report\u002Fpassenger-car-adas-market-2025-2045-technology-market-analysis-and-forecasts\u002F1080\">\u003Cu>因豪华车与大众市场车型同步搭载，以及运动脱离驾驶功能普及的推动，\u003C\u002Fu>\u003C\u002Fa>2045年全球L2+功能市场规模有望达到179.8亿美元。此外，监管政策完善、产品成熟、计算机视觉与感技术进步、AI可扩展性与性能提升，也共同促进这一增长。\u003C\u002Fp>\n\u003Cp>支持在高速公路工况下，搭载运动脱离驾驶功能的量产车型正日益普及。\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fvolkswagen-group-cooperates-with-valeo-and-mobileye-to-enhance-driver-assistance-in-future-mqb-vehicles\u002F\">\u003Cu>Mobileye\u003C\u002Fu>\u003Cu>近期与大众汽车集团以及法雷奥的合作\u003C\u002Fu>\u003C\u002Fa>便是例证。基于EyeQ™6H芯片的Mobileye 环绕式 ADAS™平台可在指定高速公路路段实现特定条件下的运动脱离驾驶、障碍物检测、交通拥堵辅助等功能，以量产化的规模提供豪华级驾乘体验。\u003C\u002Fp>","2026-02-18T08:00:00.000Z",[65],{"id":257,"type":142,"url":258,"title":259,"description":260,"primary_tag":17,"author_name":18,"is_hidden":47,"lang":173,"meta_description":260,"image":261,"img_alt":262,"content":263,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":264,"tags":265},318,"prof-amnon-shashua-elected-to-us-national-academy-of-engineering","Amnon Shashua 教授当选美国国家工程院院士","Mobileye总裁兼首席执行官凭借计算机视觉及其自动驾驶应用成果获此殊荣","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ffb56d3e56621d10b6f0acc4fde141090_1770890393267.png","Mobileye首席执行官兼总裁Amnon Shashua教授","\u003Cp>Mobileye欣然宣布，公司总裁兼首席执行官Amnon Shashua教授当选2026届美国国家工程院（NAE）外籍院士。NAE院士称号是工程领域授予从业者的最高专业荣誉之一，旨在表彰其在工程研究、实践或教育领域的卓越贡献。  \u003C\u002Fp>\n\u003Cp>Shashua教授凭借其在计算机视觉及相关技术在自动驾驶领域的应用成果，经由同行提名并当选。 他是本届28位外籍院士之一。目前，美国国家工程院全球外籍院士共356名。  \u003C\u002Fp>\n\u003Cp>Shashua教授于1999年联合创立Mobileye，坚信人工智能将从根本上提升驾驶安全性。至今，全球已有约2.3亿辆汽车搭载Mobileye技术，将计算机视觉与机器学习基础研究落地为全球部署最广泛的物理人工智能系统之一。Shashua教授的研究覆盖业界领先的感知系统、形式安全框架及可扩展AI架构，有力推动了高级驾驶辅助系统的（ADAS）普及，并促成自动驾驶从科研项目走向商业化落地。  \u003C\u002Fp>\n\u003Cp>Shashua教授奠定的计算机视觉与机器学习技术基础，如今已延伸至汽车领域之外。今年1月，Mobileye宣布收购Mentee Robotics，开启了Mobileye 3.0时代的战略新篇章：将人工智能突破性成果应用于物理世界，依托在感知、仿真与安全模型方面的核心优势，前瞻性布局人形机器人与自动驾驶领域。\u003C\u002Fp>\n\u003Cp>NAE荣誉是对Shashua教授科研贡献的又一项肯定。Shashua教授的过往荣誉包括：2020年度丹·大卫奖（Dan David Prize）人工智能领类奖项，2022年度汽车名人堂出行创新者奖（Automotive Hall of Fame Mobility Innovator Award），以及2019年度电子成像科学家奖（Electronic Imaging Scientist of the Year）。  \u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">如需阅读美国国家工程院完整公告及新晋院士名单，请\u003Ca href=\"https:\u002F\u002Fwww.nae.edu\u002F19579\u002F31222\u002F20095\u002F343222\u002F345149\u002FNAENewClass2026#:~:text=The%20National%20Academy%20of%20Engineering,of%20international%20members%20to%20356\" target=\"_blank\" rel=\"noopener\">点击此处。\u003C\u002Fa>\u003C\u002Fspan>\u003C\u002Fp>","2026-02-12T08:00:00.000Z",[50],{"id":267,"type":14,"url":268,"title":269,"description":270,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":270,"image":271,"img_alt":272,"content":273,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":274,"tags":275},316,"how-premium-level-hands-off-driving-became-scalable-for-the-mass-market","规模化高阶驾驶员运动脱离驾驶时代已然来临","揭秘Mobileye环绕式ADAS如何凭借高性价比与可规模化ADAS架构，让高阶驾驶员运动脱离驾驶技术覆盖量产主流车型。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F71528f4db6eba81be4cbd3545f0e9998_1769588395078.png","专为降低硬件成本、简化软件集成，并优化整体系统架构而设计。","\u003Cp>高级驾驶辅助功能已覆盖全品类车型，越来越多现代新车迈入需注视\u002F运动脱离的驾驶阶段。 然而，随着相关技术趋于成熟，行业研发重心已从单一功能迭代转向功能整合，以及可量产、高协同、高性价比的高阶ADAS系统研发。 \u003C\u002Fp>\n\u003Cp>Mobileye环绕式ADAS斩获\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fmobileye-surround-adas-adds-second-top-10-automaker\u002F\">两家全球头部车企定点项目\u003C\u002Fa>，标志着高级驾驶辅助解决方案正式迈入全新发展阶段，为其在全球范围内的规模化行业落地指明清晰路径。 \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>从独立ADAS功能到可规模化集成平台\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>显而易见，ADAS已走出早期导入阶段，正式进入成熟普及期。最新\u003Ca href=\"https:\u002F\u002Fwww.autopacific.com\u002Fautopacific-insights\u002F2025\u002F7\u002F24\u002Fautopacifics-newest-future-attribute-demand-study-fads-shows-increase-in-demand-for-autonomous-driving-and-adas-features\">调研\u003C\u002Fa>显示：高速公路场景下驾驶员监督式的运动脱离驾驶功能已成为最受关注的车型功能，43%的潜在购车用户将其列为首选需求。  \u003C\u002Fp>\n\u003Cp>当下量产新车的ADAS性能已形成梯度布局：从自动紧急制动（AEB）、车道保持辅助（LKA）等基础功能，延伸至辅助变道等进阶功能，高端车型更可在指定高速路段实现驾驶员“运动脱离”驾驶。   \u003C\u002Fp>\n\u003Cp>随着部分功能逐步成为标配，行业核心挑战已转变为如何实现多功能协同整合，保障ECU（电子控制单元）通信间低时延、以及在异构环境中的稳定运行，并满足日益严苛的验证要求。 \u003C\u002Fp>\n\u003Cp>行业亟待破解的核心命题是：车企如何打造高性能、高阶体验的ADAS系统，同时实现规模化量产？如何从全系统视角统筹感知、计算、软件的协同融合，实现数据高效流转，并完成整套技术栈在现实路况下的规模化量产验证？ \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan data-contrast=\"auto\">泊车功能整合：降本增效的核心路径\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>在软件定义时代，行业正全力推进\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fthe-shift-towards-centralized-intelligence\u002F\">ECU精简\u003C\u002Fa>，推动车企重新评估核心电子电气架构，以降低成本、线束复杂度和集成难度。 但过度整合可能引发安全隐患，且会对现有架构造成颠覆性重构。那么，平衡点在哪里？车企应在何处进行整合，才能在降低软硬件成本的同时，避免承担过高风险？泊车场景正是理想的切入点。 \u003C\u002Fp>\n\u003Cp>传统架构中，泊车与ADAS系统分属独立ECU运行，形成车内功能孤岛。而两类系统共用传感器硬件，冗余的数据链路会直接产生不必要的成本损耗。 这一传统模式正在迎来革新。在Mobileye最新量产项目中，ADAS与泊车功能已完成整合，基于单颗\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ6H\u003C\u002Fa>芯片在同一ECU内协同运行。  \u003C\u002Fp>\n\u003Cp>该架构可复用全域传感器资源，取消独立泊车专用ECU，从而降低硬件成本并简化系统设计。  车企可依托该架构在控制成本的同时实现功能增值。 因此，泊车功能整合的核心价值并非单纯增强性能，而在于打通L2级统一平台的商业化落地逻辑。  \u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"335559738":240,"335559739":240}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F599de49148978271f5e84e58a42b0461_1770196613152.png\" alt=\"\" width=\"1200\" height=\"675\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>驾驶员监测系统与ADAS深度融合\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>另一大高效整合方向，是实现ADAS与驾驶员监测系统（DMS）的协同融合。在Mobileye环绕式ADAS平台中，\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fpresenting-the-mobileye-driver-monitoring-system-fusing-road-safety-inside-the-cabin\u002F\">Mobileye DMS™\u003C\u002Fa>与ADAS技术栈深度绑定，实现双系统协同运行。Mobileye DMS可复用车辆外部感知系统，无需搭载独立处理器，既能降低成本，也助力实现系统集成芯片与ECU的全域整合目标。\u003C\u002Fp>\n\u003Cp>此项融合的价值不止于硬件成本降低。ADAS与DMS在单芯片内集成运行，可实现车内外感知强协同，提升系统整体连贯性与实时智能响应能力。 \u003C\u002Fp>\n\u003Cp>通过将驾驶员视线与ADAS外部摄像头采集的实时路况交叉比对，可更精准评估驾驶员状态并做出更智能的响应。 相较于ADAS与DMS分属独立ECU、通过车载网络通信的传统方案，该集成架构可实现更低时延、更强耦合性。 \u003C\u002Fp>\n\u003Cp>该融合方案可支持指定区域的高速公路路段的运动脱离\u002F需注视驾驶，同时减少系统冗余，简化系统验证流程。这也印证了行业核心趋势：运动脱离驾驶的技术底座，已从松散耦合的子系统拼接，升级为一体化集成平台。 \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>两大头部车企将Mobileye环绕式ADAS视为全新行业标准的核心原因\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>当前车企日益关注可规模化架构的研发，而环绕式ADAS正是精准匹配该核心需求的解决方案。 如今，两家全球头部车企落地环绕式ADAS方案，推动其逐步成为行业参考架构，标志着这一技术布局不仅是单点突破，更是引领着行业发展的全新方向。 \u003C\u002Fp>\n\u003Cp>环绕式ADAS方案依托人工智能前沿技术，可帮助车企以更精简的架构满足消费市场与行业合规要求，将可规模化的高阶ADAS推广到全品类量产车型。 \u003C\u002Fp>\n\u003Ch5>\u003Cem>\u003Cstrong>*\u003C\u002Fstrong>\u003C\u002Fem>\u003Cstrong>\u003Cem>以上规格参数可能由Mobileye调整与更新。\u003C\u002Fem>\u003C\u002Fstrong>\u003C\u002Fh5>\n\u003Cp> \u003C\u002Fp>","2026-02-04T08:00:00.000Z",[57],{"id":277,"type":14,"url":278,"title":279,"description":280,"primary_tag":17,"author_name":18,"is_hidden":47,"lang":173,"meta_description":280,"image":281,"img_alt":282,"content":283,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":284,"tags":285},315,"takeaways-from-the-mobileye-press-conference-with-ceo-prof-amnon-shashua-at-ces-2026","Amnon Shashua 教授发表CES 2026年度主题演讲：Robotaxi最新动态、人工智能突破与机器人技术革新","展望2026年及未来，Mobileye首席执行官Amnon Shashua教授公布了公司的多项关键进展，包括重大里程碑事件、重磅合作成果、Robotaxi 技术持续推进、创新训练方法和人形机器人领域的最新突破。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F749a8a359e3b53c6c41e870f8770aa0f_1767863157245.jpg","这些进展标志着公司迈入发展新阶段。","\u003Cp>Mobileye 以 Amnon Shashua 教授的年度演讲宣告CES 2026正式启幕。\u003C\u002Fp>\n\u003Cp>Amnon Shashua 教授登台演讲，展望2026年及未来，公布了公司多项关键进展。演讲全面覆盖从高级驾驶辅助系统（ADAS）到自动驾驶汽车（AV）的全产品布局以及核心里程碑事件，包括与大众汽车和MOIA在自动驾驶出租车（Robotaxi）领域的合作进展，以及Mobileye视觉-语言（VLSA）模型与创新训练方法的最新技术突破。最后，宣布当日重磅新闻--通过收购Mentee Robotics，Mobileye正式进军人形机器人领域。\u003C\u002Fp>\n\u003Cp>这些发布共同标志着公司迈入全新的发展阶段--Mobileye 3.0。在这一阶段，Mobileye将其在物理AI领域的技术领导力进一步拓展至两大极具潜力的前沿赛道。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>公司业绩与解决方案部署\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Amnon Shashua 教授首先概述了Mobileye的市场地位、预期营收以及解决方案部署规模等数据，重点强调了关键增长点。\u003C\u002Fp>\n\u003Cp>进入2026年，Mobileye未来八年的预期营收总额达245亿美元，较2023年173亿美元的预期金额增长约42%。2025年，公司斩获过去十年未曾合作过的两家新车企（OEM）的定点项目，同时，EyeQ™6L芯片获得定点数量较2024年增长3.5倍。\u003C\u002Fp>\n\u003Cp>截至2025年第三季度末，全球已有超过2.3亿辆汽车搭载了Mobileye技术。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>环绕式\u003C\u002Fstrong>\u003Cstrong>ADAS\u003C\u002Fstrong>\u003Cstrong>正在引领面向大众市场量产车型的驾驶辅助技术突破\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>演讲重点披露了一项重大定点成果：一家\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fmobileye-surround-adas-adds-second-top-10-automaker\u002F\">\u003Cu>美国头部车企\u003C\u002Fu>\u003C\u002Fa>已选定Mobileye环绕式ADAS™平台，搭载于其即将推出的面向大众市场量产车型上。此项合作进一步印证了行业趋势--传统基础ADAS正在加速向环绕式ADAS演进。\u003C\u002Fp>\n\u003Cp>环绕式ADAS配置多个摄像头和雷达，通过单个ECU内置的一颗EyeQ™6H系统集成芯片（SoC）来处理数据，实现全车周感知与辅助驾驶功能。该集中式架构旨在降低整车厂系统复杂度与成本的同时，支持更高级别的驾驶辅助功能，包括一体化泊车能力，以及在特定高速公路的运行设计范围内驾驶员”运动脱离|需注视”的驾驶体验。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":257}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F04e658007e1bece0efff765b2e911adb_1767869270652.jpg\" alt=\"\" width=\"1200\" height=\"675\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan data-teams=\"true\">\u003Cstrong>至2033年，计划同MOIA联合部署超过10万辆 Robotaxi\u003C\u002Fstrong>\u003Cbr \u002F>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-contrast=\"auto\">自动驾驶出租车（Robotaxi）在公共道路的安全落地需要端到端生态系统支持，包括持续运营、车队管理以及真实路况适配能力。在主题演讲中，围绕ID. Buzz项目，大众汽车自动驾驶出行公司首席执行官Christian Senger受邀登台，深入探讨了大规模部署的实践路径。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>在这项合作中，大众汽车提供具备产业规模的车辆生产能力，Mobileye通过Mobileye Drive™系统提供L4级完全自动驾驶技术，MOIA则负责车队运营与出行服务层搭建，三方共同围绕ID. Buzz平台构建完整的运营生态系统。该项目计划于2026年在美国启动首批部署，随后逐步拓展至欧洲市场。\u003C\u002Fp>\n\u003Cp>此项合作将自动驾驶出租车（Robotaxi）项目扩大到了可观的规模，目前已在多种天气与气候条件（晴天、雨天、雪天）下的多个城市开展测试。据Christian Senger透露，MOIA计划到2033年，部署超10万辆搭载Mobileye系统的高等级驾驶自动化车辆。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>人工智能如何深度融入自动驾驶 \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>合作推动业务落地的同时，技术创新也在持续加速，人工智能已成为自动驾驶演进的核心驱动力。更强大的新模型不断涌现，其应用早已不再局限于纯数字世界，而是扩展到在真实物理环境中运行的系统。但即便依托超高性能模型，人工智能领域的核心挑战仍未消除，包括“幻觉”问题、安全验证保障、以及大规模训练需求等。 \u003C\u002Fp>\n\u003Cp>Shashua教授阐述了Mobileye针对这些限制设计的架构方案，以及如何通过“快思考与慢思考”决策双系统、视觉-语言-语义-动作（VLSA）融合模型等创新，在算力和功耗受限的实时系统中，充分发挥现代人工智能的优势，同时保持极高的决策准确性。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>“快思考与慢思考”决策双系统\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":257}\">这一架构的核心在于从“快思考”和“慢思考”两个维度看待驾驶任务：快思考系统负责高频率的“反射式”决策，包括安全层相关决策；慢思考系统则负责处理需要对整体场景进行推理的驾驶决策（不直接影响行车安全），因此可采用低频率运行模式。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":257}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F5a6ff54ec40f4d0803a26a2e566f688c_1767863258664.png\" alt=\"\" width=\"1200\" height=\"676\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>基于\u003C\u002Fstrong>\u003Cstrong>ACI\u003C\u002Fstrong>\u003Cstrong>的涌现式驾驶策略\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559685":720,"335559740":257,"335559991":720}\">这一架构的核心支撑是人工群体智能（Artificial Community Intelligence，ACI），一种基于自博弈的驾驶策略框架，其驾驶策略训练依托于感知状态仿真，而非逼真图像。借助Mobileye路网智能技术生成的高清地图，ACI将车辆、行人、公交车等道路参与者模型置于真实道路场景中，并为每个模型配置数百万种可能的驾驶行为。这一设计可高密度注入低频但高风险的极端场景，并能在极短时间内生成数十亿小时级别的仿真驾驶数据。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>视觉-语言-语义-动作（VLSA）模型\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>视觉-语言-语义-动作（VLSA）模型作为慢思考系统的核心，是一种基于视觉-语言的深层场景语义处理模型，其作用类似于在复杂驾驶场景中陪伴新手驾驶员的资深驾驶员。VLSA模型不直接控制车辆或输出行驶轨迹，而是提供结构化的语义指导，馈入规划系统，而安全关键控制仍由受正式安全层约束的快思考系统负责。\u003C\u002Fp>\n\u003Cp>通过快思考与慢思考的功能分离机制，结合大规模仿真训练，构建了一套无需将生成式模型置入安全环路、也无需依赖人工远程操控来解决所有边缘场景的自动驾驶规模化可拓展的路径。 \u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fces_2026_slide28.mp4\">\u003Cspan data-ccp-props=\"{"201341983":0,"335559685":720,"335559740":257,"335559991":720}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fces_2026_slide28.mp4\" alt=\"\" \u002F>\u003Cvideo controls=\"controls\" width=\"100%\" height=\"100%\">\n\u003Csource src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fces_2026_slide28.mp4\" type=\"video\u002Fmp4\" \u002F>\u003C\u002Fvideo>\u003C\u002Fspan>\u003C\u002Fa>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>从“需注视”到“注意力脱离”：ADAS、自动驾驶与机器人技术的未来 \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Shashua教授展望了2030年代驾驶自动化行业在三大领域的进化路径，涵盖ADAS、消费级自动驾驶汽车、以及自动驾驶出租车（Robotaxi），核心围绕“智能安全扩展”展开。\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":257}\">目前应用于高端消费级汽车的L2++“驾驶员运动脱离|需注视”系统，将持续进行成本优化，逐步成为更广泛车型的标配。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>消费级L3系统将从当前的“视觉脱离”向L4“注意力脱离”驾驶进化，降低人工干预频率，并扩展至现有高速公路设计运营范围之外的场景。已具备商业部署能力的自动驾驶出租车(Robotaxi)系统，将通过传感器优化、成本降低，以及车辆远程操控比例的大幅下降等实现加速发展。\u003C\u002Fp>\n\u003Cp>展望2030年，驾驶自动化领域的下一个重大变革将是从“视觉脱离”到“注意力脱离”的跨越，人工干预频率将降至足以支撑大规模部署的水平。  \u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":257}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fbad8d11c129052a484c41c13a57ae2e8_1767863433955.jpg\" alt=\"\" width=\"1200\" height=\"675\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Mobileye 与 Mentee Robotics：物理AI的新疆域\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>在主题演讲的尾声，Shashua教授宣布Mobileye将\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fmobileye-to-acquire-mentee-robotics-to-accelerate-physical-ai-leadership\u002F\">\u003Cu>收购\u003C\u002Fu>\u003Cu>Mentee Robotics\u003C\u002Fu>\u003C\u002Fa>。Mentee专注于垂直整合的软硬件研发，核心技术包括仿真优先式学习、少样本泛化、高灵巧度人形机器人手部设计和零远程操控技术。\u003C\u002Fp>\n\u003Cp>通过此次收购，Mobileye的业务范围将从汽车领域拓展至更广泛的、同样面向现实世界构建的物理AI系统赛道。 \u003C\u002Fp>\n\u003Cp>此举反映了驾驶自动化与机器人技术的深度融合趋势，两大领域共享核心物理AI技术架构，涵盖多模态感知、环境建模、意图感知规划、精密控制，以及不确定性下的决策制定能力。\u003C\u002Fp>","2026-01-10T08:00:00.000Z",[50],{"id":287,"type":136,"url":288,"title":289,"description":290,"primary_tag":134,"author_name":18,"is_hidden":47,"lang":173,"meta_description":290,"image":291,"img_alt":292,"content":293,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":294,"tags":295},313,"mobileye-agrees-to-acquire-mentee-robotics","Mobileye 同意收购 Mentee Robotics","该收购将汇聚全球顶尖AI人才并推动驾驶自动化与人形机器人全球规模化落地。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fafa43d0bb6d179df2aea3f407dd39b28_1767531378872.jpg","Mobileye 与 Mentee：携手开启物理人工智能的下一个时代。","\u003Cp>\u003Cspan data-teams=\"true\">在 CES 2026 上，Mobileye 今日宣布已就收购AI（人工智能）人形机器人公司Mentee Robotics达成协议。此次收购将Mobileye先进的AI技术和全球量产经验，与Mentee突破性的人形机器人平台和深厚的AI人才储备充分结合，意在打造一家横跨驾驶自动化与人形机器人两大变革性赛道的全球物理AI（Physical AI）领域领先企业。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan class=\"EOP SCXW165912919 BCX0\" data-ccp-props=\"{}\">\u003Cspan class=\"TextRun SCXW137863347 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW137863347 BCX0\">\u003Cspan data-teams=\"true\">在此，您可获取相关背景信息、官方新闻资料以及视觉素材。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>关于 Mentee Robotics\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp data-start=\"24\" data-end=\"219\">Mentee Robotics 致力于打造一款以人工智能为核心、实现软硬件垂直整合的人形机器人，面向物流、工业及家庭等真实应用场景，强调落地可行性与实际价值。MenteeBot 采用纯视觉（Camera-only）感知架构，融合一体化 AI 系统、自主研发的电机与执行机构，以及基于 Sim2Real 的学习框架，实现高精度运动控制、环境感知与理解、精细化操作能力，并支持自然语言交互引导。\u003C\u002Fp>\n\u003Cp data-start=\"221\" data-end=\"358\" data-is-last-node=\"\" data-is-only-node=\"\">其核心行为策略主要在仿真环境中完成训练，并可高效迁移至真实物理世界运行，从而在可靠性、规模化部署和持续迭代能力方面具备显著优势。Mentee 的使命是构建一套以人为中心的通用型机器人系统，兼具灵巧操作与高水平感知能力，能够通过自然交互方式，灵活适配不同环境与多样化任务需求。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>新闻\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fmobileye-to-acquire-mentee-robotics-to-accelerate-physical-ai-leadership\u002F\">Mobileye将收购 Mentee Robotics以加速建立物理AI领域领先地位\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cspan class=\"EOP SCXW165912919 BCX0\" data-ccp-props=\"{}\">\u003Cspan class=\"EOP SCXW137863347 BCX0\" data-ccp-props=\"{}\">\u003Cstrong>\u003Cspan class=\"TextRun SCXW160431637 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW160431637 BCX0\">Mentee 照片\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan class=\"EOP SCXW160431637 BCX0\" data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan class=\"EOP SCXW165912919 BCX0\" data-ccp-props=\"{}\">[**]gallery:menteebot[**]\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp contenteditable=\"false\">[**]vimeo-press:1151517854[**]\u003C\u002Fp>\n\u003Cp contenteditable=\"false\">[**]vimeo-press:1150802982[**]\u003C\u002Fp>\n\u003Cp contenteditable=\"false\">[**]vimeo-press:1150802966[**]\u003C\u002Fp>\n\u003Cp contenteditable=\"false\">[**]vimeo-press:1151510659[**]\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2026-01-06T08:00:00.000Z",[141,135],{"id":297,"type":142,"url":298,"title":299,"description":300,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":300,"image":301,"img_alt":302,"content":303,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":294,"tags":304},314,"mobileye-to-acquire-mentee-robotics-to-accelerate-physical-ai-leadership","Mobileye将收购 Mentee Robotics以加速建立物理AI领域领先地位","该收购将汇聚全球顶尖AI人才并推动驾驶自动化与人形机器人全球规模化落地","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe6d126b4d74e0fce47e379c3fff057e6_1767710135503.jpg","Mobileye 与 Mentee Robotics","\u003Cp>美国拉斯维加斯，2026年1月6日 — Mobileye 今日宣布已就收购AI（人工智能）人形机器人公司Mentee Robotics（Mentee）达成最终协议。Mentee目前已进入其第三代垂直整合的人形机器人研发阶段。此次收购将Mobileye先进的AI技术和全球量产经验，与Mentee突破性的人形机器人平台和深厚的AI人才储备充分结合，意在打造一家横跨驾驶自动化与人形机器人两大变革性赛道的全球物理AI（Physical AI）领域领先企业。\u003C\u002Fp>\n\u003Cp>Mobileye的高等级驾驶自动化业务及其核心的组合辅助驾驶（ADAS）技术正呈现出强劲的发展态势，得益于此，公司未来八年的汽车业务收入预期将达245亿美元，较2023年1月时的预期增长超过40%。\u003Csup>1\u003C\u002Fsup>此次收购进一步拓展了Mobileye的业务版图，成为其向物理AI领域迈出的决定性一步——物理AI系统致力于理解情境、推理意图，与人类进行自然交互，在物理世界中安全高效地运行，同时实现经济上的可扩展性。历经过去数年的发展，Mobileye的驾驶自动化技术栈已从专注于目标驱动型的领航辅助驾驶功能，进阶至全局情境感知与意图感知的推理能力，为实现通用机器人在满足严苛安全要求的前提下，与人类的高效协同奠定了坚实基础。\u003C\u002Fp>\n\u003Cp>本次收购还将加速Mentee的商业化进程，预计在2026年内将启动首批客户现场概念验证部署，旨在实现无需远程操控的机器人自主运行，其规模化量产与商业化落地则计划于2028年完成。\u003C\u002Fp>\n\u003Cp>本次收购对价总额约为9亿美元（具体金额可能因相关调整而发生变动），其中包括约6.12亿美元现金及至多约2620 万股Mobileye A类普通股（具体股数将根据交割前 Mentee 期权的归属情况做相应调整）。上述金额并非最终金额，将根据股份购买协议条款进行调整。该交易尚需满足惯常交割条件，预计于2026年第一季度完成。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mentee初创阶段成果斐然\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mentee成立四年以来，在人形机器人领域取得显著进展，设计出了具有成本效益、面向真实场景规模化部署的人形机器人平台。该平台采用自研软硬件设计，并基于人机示范指导、小样本学习及仿真优先式训练构建了AI架构。不同于依赖大规模真实场景数据采集或持续远程操控的系统，Mentee的技术路线致力于让机器人通过自然示范与意图提示逐步掌握新技能，在保障与人类和物体对象交互的安全性与可预测性的同时，实现成本与实用性之间的最优平衡。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>核心竞争力：快速学习能力、高性价比、强大实用性\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cimg style=\"float: right; margin-left: 20px;\" src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F127b18f2ac06dc118ee1f59837cd4167_1767711405382.png\" alt=\"Mentee Robotics is developing an AI-first, vertically integrated humanoid robot designed for real-world usefulness and adaptability.\" width=\"270\" height=\"431\" \u002F>\u003C\u002Fp>\n\u003Cp>Mentee人形机器人具备强大的开箱即用功能，包括先进的场景理解与自然指令执行能力的深度融合，无需远程操控的端到端自主任务处理，可靠的位置移动和导航，以及对刚性物体的安全操控能力。目前，其团队正加速推进“小样本泛化”技术研发，以确保机器人通过少量的人类示范，即可快速学习并执行新技能与新任务。这一能力将推动人形机器人在多类现实场景中快速部署，既可成为人力增效工具，也能作为协作伙伴与人类并肩作业。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>两大支柱构筑Mentee技术优势\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Mentee可扩展性的AI优势:\u003C\u002Fstrong> Mentee平台依托两大核心AI支柱，构筑了坚实的技术壁垒:\u003Cbr \u002F>\n\u003Cul>\n\u003Cli>集成型AI解决方案：将先进的基础模型与基于强化学习的运动模型相结合；\u003C\u002Fli>\n\u003Cli>纯仿真训练：凭借突破性技术，大幅缩小Sim2Real（仿真到现实）的差距。Mentee 的方案减少了对大规模现实场景数据采集的依赖，通过仿真来高效地习得技能，加速技术规模化并实现成本效益。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli>\u003Cstrong>垂直整合硬件支撑规模化部署:\u003C\u002Fstrong> Mentee核心硬件与嵌入式软件均为自主研发，具体包括:\n\u003Cul>\n\u003Cli>专有执行器：实现卓越的扭矩密度与紧凑的结构设计；\u003C\u002Fli>\n\u003Cli>高精度电机驱动器：保障优异的控制性能与行为透明度；\u003C\u002Fli>\n\u003Cli>坚固的高实用性机械臂：搭载电机触觉传感技术，提升模块化程度并降低系统复杂度；\u003C\u002Fli>\n\u003Cli>热插拔电池：支持全天候不间断运行。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>深度垂直整合的模式不仅缩小了Sim2Real的技术鸿沟，保障24\u002F7全天候作业能力，还能满足多元场景应用需求，支持低成本量产。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>驾驶自动化与人形机器人技术的融合\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>驾驶自动化与人形机器人两大领域面临相同的底层挑战：在人类主导的物理世界中，实现可靠运行并展现实用价值。要想取得成功，必须满足严苛的性能要求，达到可验证的安全水平，在边缘计算平台上高效运行，并实现具备经济可行性的规模化部署。\u003C\u002Fp>\n\u003Cp>正因如此，两大领域均依赖一套共通的物理AI技术栈，涵盖多模态感知、环境建模、意图感知规划、精准控制、以及在不确定性情况下的决策制定。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa6cab3bf8701a75779ffd976269f0830_1767711531677.png\" alt=\"Two MenteeBots demonstrate stability, accuracy, and adaptive control transferring 32 boxes across multiple racks.\" width=\"1000\" height=\"561\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>收购\u003C\u002Fstrong>\u003Cstrong>Mentee\u003C\u002Fstrong>\u003Cstrong>以实现关键战略协同效应\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye对Mentee的收购预计将产生可观的技术协同效应，推动物理AI在机器人与驾驶自动化两大分支的长足发展。\u003C\u002Fp>\n\u003Cul>\n\u003Cli>加强驾驶自动化技术栈：Mentee在VLA（视觉-语言-动作）技术和基于创新Sim2Real迁移技术的大规模仿真方面的进展，与Mobileye的驾驶自动化技术栈高度互补。这些能力通过优化长尾场景泛化能力，加速适应新环境，提高研发效率并缩短验证周期，能够进一步强化驾驶自动化系统性能。\u003C\u002Fli>\n\u003Cli>引领人形机器人安全性提升：在动态日常环境中与人类和其他机械设备共同作业的人形机器人，需要超越反应式避障的可验证安全级别。不同于固定式自动化设备，人形机器人必须对人类行为、共享空间、可移动物体及脆弱环境进行实时推理，产出可预测且经得起验证的结果。Mobileye将其在驾驶自动化领域验证有效的“安全优先”理念引入人形机器人领域，包括责任敏感安全模型（RSS）等严谨的安全模型，在不确定情况下基于数学模型的决策机制，以及经过规模化验证的系统级冗余架构。这些技术共同构成了定义、验证和执行安全行为的基础，进而为人形机器人实现经济可行性，最终推动其大规模商业化部署构建所必需的信任度、可靠性与监管合规基础。\u003C\u002Fli>\n\u003Cli>加速商业化进程：Mobileye 在将先进技术推向市场方面积累了二十多年的专业经验。依托符合严苛安全标准的工具链与基础设施、AI训练基础设施，以及与高产能精密制造商的深度合作关系，其将加速推动人形机器人解决方案在全球工厂、仓储及工业环境中的部署。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>通过综合人形机器人与驾驶自动化领域的各项突破性技术，Mobileye与Mentee将在物理AI领域形成复合优势，实现技术进步的持续叠加与相互强化。\u003C\u002Fp>\n\u003Cp>Mobileye创始人、总裁兼首席执行官Amnon Shashua教授表示：“这一收购为机器人与汽车AI领域开启了新篇章，同时也标志着Mobileye 3.0 时代的起点。Mentee在人形机器人领域取得了突破性的成果，Mobileye则在驾驶自动化领域拥有深厚的技术积淀，并具备将先进的AI技术产品化的能力。双方的强强联合将使我们把握时代赋予的独特机遇，在全球范围内引领物理AI技术在机器人与驾驶自动化领域的演进。“\u003C\u002Fp>\n\u003Cp>Mentee Robotics首席执行官Lior Wolf教授表示：“我为Mentee的跨学科团队在短短四年内取得的成就感到无比自豪。我们致力于打造一个融合前沿AI与深度整合硬件的平台，让人形机器人在现实场景中真正发挥实用价值。与Mobileye携手，我们将获得无可比拟的AI基础设施与商业化经验支持，从而加速实现我们的使命，将具有可扩展性、高安全性、高性价比的人形机器人解决方案推向市场。”\u003C\u002Fp>\n\u003Cp>本次收购由独立董事组成的战略交易委员会及Mobileye最大股东英特尔公司提议，已获Mobileye董事会批准。根据Mobileye最新修订的公司章程，英特尔作为Mobileye唯一的B类股东，亦批准了此次收购。担任Mentee董事长、联合创始人及主要股东的Amnon Shashua教授已就本次交易相关表决事项予以回避。\u003C\u002Fp>\n\u003Cp>收购完成后，Mentee将作为Mobileye旗下独立事业部运营，在保持团队与业务连续性的同时，依托Mobileye先进的AI训练基础设施，加速其AI软硬件能力的整合。预计本次交易将使Mobileye 2026年运营费用小幅增加，增幅为低个位数百分比。\u003C\u002Fp>\n\u003Cp>Amnon Shashua教授将于2026年国际消费电子展（CES）上发表主题演讲，进一步阐述Mobileye在物理AI领域的愿景。演讲将在美国太平洋时间1月6日下午1:45 进行线上直播，直播结束后提供回放。\u003C\u002Fp>\n\u003Cp>有关本次收购最终协议的条款详情，请参阅Mobileye将就本次交易向美国证券交易委员会（SEC）提交的8-K报表。\u003C\u002Fp>\n\u003Cp>本次收购中，高盛公司担任Mobileye的财务顾问；EBN律师事务所（Erdinast Ben Nathan Toledano）以及美国达维律师事务所（Davis Polk and Wardwell LLP）分别担任Mobileye的以色列法律顾问与美国法律顾问；西博雷特律师事务所（Shibolet & Co.）和普衡律师事务所（Paul Hastings LLP）分别担任Mentee的以色列法律顾问与美国法律顾问。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 8pt;\">\u003Csup>1 \u003C\u002Fsup>所列期间内的Mobileye收入，乃基于当前及潜在原始设备制造商（OEM）在相关车型设计定点时所提供的未来产量预测估算得出。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>___________________________________\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision, mapping and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the wide adoption of advanced driver-assistance systems that bolster driving safety, while pioneering such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety™ (RSS). These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading advanced driver-assistance systems. Through 2024, more than 200 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=54167879&newsitemid=20241217366044&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=7&md5=25e995ce7275b1a687baef28e2f033a3\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">\u003Cstrong>Forward-Looking Statements\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Mobileye’s business outlook, guidance and other statements in this release that are not statements of historical fact, including statements about our beliefs and expectations, are forward-looking statements and should be evaluated as such. Forward-looking statements include expectations and information regarding the development of robotics and AI capabilities, the impact of robotics and AI development on Mobileye’s business, the impact of the transaction on Mobileye’s operating expenses, and descriptions of our future business plan and strategies. These statements often include words such as “anticipate,” “expect,” “suggests,” “plan,” “believe,” “intend,” “estimates,” “targets,” “projects,” “should,” “could,” “would,” “may,” “will,” “forecast,” or the negative of these terms, and other similar expressions, although not all forward-looking statements contain these words. We base these forward-looking statements or projections, on our current expectations, plans and assumptions that we have made in light of our experience in the industry, as well as our perceptions of historical trends, current conditions, expected future developments and other factors we believe are appropriate under the circumstances and at such time. You should understand that these statements are not guarantees of performance or results. The forward-looking statements and projections are subject to and involve risks, uncertainties and assumptions and you should not place undue reliance on these forward-looking statements or projections. Although we believe that these forward-looking statements and projections are based on reasonable assumptions at the time they are made, you should be aware that many factors could affect our actual financial results or results of operations and could cause actual results to differ materially from those expressed in the forward-looking statements and projections.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Important factors that may materially affect such forward-looking statements and projections include the following: the robotics technology and industry may not develop as expected; further deterioration of macroeconomic conditions due to ongoing global economic and political uncertainty (as our current guidance assumes the estimated production and\u002For demand impact of current tariff conditions); future business, social and environmental performance, goals and measures; our anticipated growth prospects and trends in markets and industries relevant to our business; business and investment plans; expectations about our ability to maintain or enhance our leadership position in the markets in which we participate; future consumer demand and behavior, including expectations about excess inventory utilization by customers; our ability to effectively compete in the markets in which we operate; future products and technology, and the expected availability and benefits of such products and technology; development of regulatory frameworks for current and future technology; changes in regulation and trade policy, including increased tariffs, in regions in which we operate, including the U.S., Europe and China; projected cost and pricing trends; future production capacity and product supply; potential future benefits and competitive advantages associated with our technologies and architecture and the data we have accumulated; the future purchase, use and availability of products, components and services supplied by third parties, including third-party IP and manufacturing services; uncertain events or assumptions, including statements relating to our estimated vehicle production and market opportunity, potential production volumes associated with design wins and other characterizations of future events or circumstances; adverse conditions in Israel, including as a result of war and geopolitical conflict, which may affect our operations and may limit our ability to produce and sell our solutions; any disruption in our operations by the obligations of our personnel to perform military service as a result of current or future military actions involving Israel; availability, uses, sufficiency and cost of capital and capital resources, including expected returns to stockholders such as dividends, and the expected timing of future dividends; and tax- and accounting-related expectations.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Detailed information regarding these and other factors that could affect Mobileye’s business and results is included in Mobileye’s SEC filings, including the company’s Annual Report on Form 10-K for the year ended December 28, 2024, particularly in the section entitled “Item 1A. Risk Factors”. Copies of these filings may be obtained by visiting our Investor Relations website at ir.mobileye.com or the SEC’s website at www.sec.gov.\u003C\u002Fspan>\u003C\u002Fp>",[108,141,149,93,65],{"id":306,"type":142,"url":307,"title":308,"description":309,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":309,"image":310,"img_alt":311,"content":312,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":313,"tags":314},311,"mobileye-surround-adas-adds-second-top-10-automaker","Mobileye环绕式ADAS斩获第二家全球前十车企订单","美国头部车企选用基于EyeQ6H的Mobileye解决方案，作为覆盖大众市场到高端市场的多款车型标配","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe168f4ef0ca1b83bfec43c22b85e36b8_1767603449292.jpg","搭载Mobileye环绕式ADAS的车型","\u003Cp>美国拉斯维加斯，2026年1月5日\u003Cstrong> \u003C\u002Fstrong>\u003Cstrong>—\u003C\u002Fstrong> Mobileye今日宣布，一家美国头部车企已选定基于EyeQ6H芯片的新一代组合辅助驾驶系统，作为其旗下数百万辆汽车的标配方案，助力实现高速公路特定场景下的运动脱离驾驶。该合作标志着Mobileye环绕式ADAS™方案的全球市场需求正在加速增长。Mobileye预计，基于EyeQ™6H芯片的环绕式方案未来交付量将突破1900万套，包括本次新合作车企的900万套订单，以及2025年3月官宣的大众汽车集团订单。\u003C\u002Fp>\n\u003Cp>此次官宣的新车企客户将在其众多主流及高端车型上，将环绕式ADAS方案作为软件定义汽车架构的标配。相较于初代“驾驶员运动脱离\u002F需注视”的高速公路辅助驾驶系统，Mobileye环绕式ADAS的核心优势在于，通过将软件系统与多项驾驶功能垂直整合于单个芯片及电子控制单元（ECU）而大幅降低成本，同时助力其实现ECU的集成化精简 —— 这正是软件定义汽车的关键技术特性。\u003C\u002Fp>\n\u003Cp>随着全球监管机构对组合辅助驾驶系统的性能要求持续提升，以及成熟市场的消费者对“驾驶员运动脱离功能”的需求日益增长，Mobileye预计环绕式ADAS方案将成为下一代主流组合辅助驾驶系统，并在不久的将来成为欧美众多车型的标配。\u003C\u002Fp>\n\u003Cp>Mobileye创始人、总裁兼首席执行官Amnon Shashua教授表示：“该全球知名汽车制造商选择Mobileye环绕式ADAS方案，印证了我们在普及安全与技术方面的强大实力。依托EyeQ6H芯片作为系统强大的中央处理器，车企及其用户能够以更低的成本，获得更优的系统性能、更丰富的功能配置以及更高的灵活性。”\u003C\u002Fp>\n\u003Cp>环绕式ADAS是一套面向特定运行区域与条件设计的、集安全性与便捷功能于一体的软件定义系统，其技术积淀源于Mobileye二十多年来在驾驶自动化安全方面的深耕。借助人工智能领域的最新技术演进，该系统通过单颗EyeQ6H芯片即可处理多达11个包括摄像头与雷达在内的传感器，集成计算机视觉、传感器融合以及智能路网数据。\u003C\u002Fp>\n\u003Cp>Mobileye环绕式ADAS的标准配置采用1个高分辨率前视摄像头、4个环视泊车摄像头及多颗雷达。该系统可在特定运行区域和条件下，支持最高时速约130公里\u002F小时的“驾驶员运动脱离\u002F需注视”驾驶，同时具备自动变道、高速公路拥堵辅助以及防加塞等功能。此外，系统还在EyeQ芯片运算架构中集成了高级盲区监测、避让辅助、增强型行人检测以及驾驶员监测等功能，进一步强化行车安全，同时还可按需选配泊车辅助功能。\u003C\u002Fp>\n\u003Cp>实现运动脱离驾驶的关键技术支撑，来自于Mobileye的智能路网数据，其目前已覆盖欧美地区几乎所有高速路及城市主干道，在亚洲核心市场的道路覆盖率也已超过90%。截至目前，全球范围内已有18个汽车品牌的50余款车型，总计超800万辆汽车持续采集并上传匿名智能路网数据。同时，EyeQ6H芯片强大的处理能力也为系统后续通过远程在线升级（OTA）拓展新功能提供了技术基础，并具备坚实可靠的网络安全防护能力。\u003C\u002Fp>\n\u003Cp>___________________________________\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision, mapping and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the wide adoption of advanced driver-assistance systems that bolster driving safety, while pioneering such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety™ (RSS). These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading advanced driver-assistance systems. Through 2024, about 200 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=54167879&newsitemid=20241217366044&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=7&md5=25e995ce7275b1a687baef28e2f033a3\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fspan>\u003C\u002Fp>","2026-01-05T08:00:00.000Z",[57,108,141,86],{"id":316,"type":136,"url":317,"title":318,"description":319,"primary_tag":134,"author_name":18,"is_hidden":47,"lang":173,"meta_description":319,"image":320,"img_alt":321,"content":322,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":313,"tags":323},312,"mobileye-at-ces-2026","Mobileye 亮相 CES 2026","展会期间，敬请关注我司新闻站，获取最新活动动态、新闻、多媒体内容等资讯。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3744a10eb4a9024d092956b85b48d4a9_1767530835604.jpg","Mobileye Live at CES 2026 将于太平洋时间1月6日（星期二）下午1:45（北京时间1月7日上午5:45）在拉斯维加斯进行现场直播。","\u003Cp>我们正在迈入物理人工智能（Physical AI）的全新阶段，各类系统在现实世界约束条件下的运行能力日益增强。在汽车领域，模型算法、计算效率与系统架构的持续突破，正推动驾驶智能实现规模化升级，车辆的环境感知能力更精准，道路决策更具科学性。 \u003C\u002Fp>\n\u003Cp>在Mobileye Live at CES 2026现场直播中，首席执行官 Amnon Shashua 教授将深入解析这些技术进展对Mobileye发展规划决策的影响。\u003C\u002Fp>\n\u003Cp>CES展会期间，本新闻站将实时更新Mobileye相关新闻、活动资讯、视觉素材及其他新增资源，敬请持续关注。\u003C\u002Fp>\n\u003Ch2> \u003C\u002Fh2>\n\u003Cp>\u003Cstrong>活动\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye Live at CES 2026 \u003C\u002Fstrong> \u003C\u002Fp>\n\u003Cp>Mobileye 首席执行官Amnon Shashua教授将于平洋时间1月6日（星期二）下午1:45 在CES发表年度主题演讲，并将与大众汽车集团自动驾驶出行公司首席执行官Christian Senger进行对话。点击\u003Ca href=\"https:\u002F\u002Fbit.ly\u002F4q007vo\">此处\u003C\u002Fa>注册观看直播，或联系\u003Ca href=\"mailto:PR@mobileye.com\">PR@mobileye.com\u003C\u002Fa>申请现场媒体资质。\u003C\u002Fp>\n\u003Cp>Mobileye 自动驾驶汽车执行副总裁 Johann Jungwirth 将于太平洋时间1 月 8 日（星期四）参加 CES 专题研讨会，主题为“从运动脱离驾驶到视觉脱离驾驶：通往 L4 级自动驾驶之路”。\u003Ca href=\"https:\u002F\u002Fbit.ly\u002F4se92L6\">点击这里注册报名\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>新闻\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fmobileye-announces-ces-2026-press-conference\u002F\">Mobileye宣布举办CES 2026新闻发布会\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fmobileye-surround-adas-adds-second-top-10-automaker\u002F\">Mobileye环绕式ADAS斩获第二家全球前十车企订单\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan class=\"TextRun SCXW193030887 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW193030887 BCX0\">照片\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye-technology-and-solutions[**]\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye-ecu-series[**]\u003C\u002Fp>\n\u003Cp>[**]gallery:professor-amnon-shashua[**]\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileyes-advanced-platforms-in-the-drivers-seat[**]\u003C\u002Fp>\n\u003Cp>[**]gallery:driven-by-mobileye[**]\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch2> \u003C\u002Fh2>\n\u003Cp contenteditable=\"false\">[**]vimeo-press:1151510258[**]\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",[135,141],{"id":325,"type":14,"url":326,"title":327,"description":328,"primary_tag":59,"author_name":18,"is_hidden":47,"lang":173,"meta_description":328,"image":329,"img_alt":330,"content":331,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":332,"tags":333},310,"the-shift-towards-centralized-intelligence","集中式智能架构时代来临","当前行业面临的挑战不仅在于软件迭代，更在于确保安全关键驾驶功能万无一失。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F42e83d11a5ca50726f0fc0c8d9e1e8a6_1767170943828.jpg","车载平台嵌入式软件的规模会随着时间推移持续扩张，代码量已超过1亿行。","\u003Cp>随着行业不断整合算力资源，并致力于构建软件定义的驾乘体验，核心挑战已不仅在于软件更新本身，更在于确保安全关键的驾驶功能始终可靠无虞。如今，软件能力正日益成为车辆竞争力的核心，即便车辆驶出工厂，也能通过持续的软件更新不断解锁新功能，带来新的盈利增长机会。\u003C\u002Fp>\n\u003Cp>这一演进趋势可从车载平台软件规模的持续扩张中直观体现。如今，许多现代车辆的软件代码量\u003Ca href=\"https:\u002F\u002Fwww.mckinsey.com\u002Findustries\u002Fautomotive-and-assembly\u002Four-insights\u002Fwinning-the-automotive-software-development-race\">已突破一亿行\u003C\u002Fa>。为了支撑如此庞大的代码规模，必须依赖新一代硬件平台——具备强大算力的系统集成芯片（SoC）域级处理器，能够同时支持高级计算、人工智能（AI）处理以及云端互联。此类计算系统可确保车辆具备持续进化能力，在保障性能与可靠性的前提下，高效运行复杂的安全功能，并为座舱应用场景提供强大算力支持。\u003C\u002Fp>\n\u003Cp>这一技术突破依赖深厚的专业积累，只有具备高算力和安全基础设施能力的企业，才能帮助车企整合控制架构、简化系统复杂度，并稳步推进新一代智能汽车的规模化落地。 \u003C\u002Fp>\n\u003Cp>\u003Cstrong>车企为何竞相推进ECU整合？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>数十年来，车辆一直依赖多家供应商提供的分布式电子控制单元（ECU），一辆车往往配备上百个独立 ECU，各自承担特定功能。这种架构不仅成本高、结构复杂，而且难以实现高效的软件更新。为应对日益增长的系统复杂度，行业正通过架构整合，将数量更少、性能更强的域控制器作为核心，并通过高带宽网关实现跨域功能的协同与互联。\u003C\u002Fp>\n\u003Cp>这种整合模式以高性能系统集成芯片（SoC）为核心，重构车辆架构。单颗芯片即可承载多项软件功能及域级工作负载，使不同车型及车辆全生命周期的软件管理更加简化。借助灵活的硬件架构和在线升级（OTA）能力，车企能够在车辆量产后持续推送新功能、优化性能，并支持订阅服务的推出。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">这一转型正在重塑供应链的竞争格局。芯片厂商与软件供应商纷纷发力，竞相打造既可靠又符合安全标准的平台，以满足快速数字化车队的需求。在当前环境下，兼具高计算性能与经验证的安全隔离机制的架构，可能成为决定车企能否在规模化量产中实现软件驱动目标的关键因素。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3fbf248390951761708a504d498c4b7f_1767170985038.jpg\" alt=\"\" width=\"1200\" height=\"574\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>汽车电子电气（E\u002FE）架构整合的局限性\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>计算架构整合也带来了新的挑战：安全关键系统与非安全应用之间的界限日益模糊。将所有功能集中在单一平台的架构方案，可能带来性能瓶颈和验证不足的风险。在极端情况下，甚至可能导致车辆出厂后的软件更新意外影响制动或感知等核心安全功能。\u003C\u002Fp>\n\u003Cp>车辆集中式车载计算架构并非唯一路径。Mobileye 采用 “整合与隔离” 并行的技术路线，通过多域控制器（MDC）架构连接 EyeQ™ 系列芯片，在实现算力资源整合的同时，确保安全关键驾驶功能与通用计算负载之间保持清晰隔离。该设计能够在通过 OTA 更新新增软件功能的同时，持续保障驾驶决策的可验证性与确定性。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">同时，Mobileye 系统具备全域整合能力，在支撑各类应用和云端互联的同时，始终坚守安全关键ADAS的安全底线。\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>软件层持续迭代，车企如何坚守经验证的安全性？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>车企对所交付车辆的安全性负全责。而软件开始迭代之时，新的挑战也随之而来：在车辆全生命周期中不断新增功能、更新软件与应用，最初用于保障安全性能的验证结果可能会发生意外变化。核心在于构建一套“无干扰运行”系统，确保在软件持续更新过程中，安全关键任务始终不受影响。\u003C\u002Fp>\n\u003Cp>无论系统新增多少软件层，经验证的安全性都必须保持完整，且不能依赖共享算力资源或承受不可预测的资源竞争。这正是 Mobileye 架构的核心设计理念：在安全关键驾驶功能与车辆其他功能域之间建立严格隔离机制。通过这种隔离设计，即便周边软件持续迭代，核心 ADAS 或自动驾驶任务仍能保持完全经验证的状态和行为一致性。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">Mobileye 的架构理念在关键环节保持开放性，同时在核心安全领域坚守隔离性。这一点在其 \u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fopinion\u002Fmobileye-dxp-as-a-novel-approach\u002F\">DXP\u003C\u002Fa> 平台上表现尤为突出：车企可以在该平台上集成自有中间件、OTA 系统及面向用户的应用，同时依托 Mobileye 经实战验证的底层技术，确保车辆在各类工况下都能安全完成感知、决策与执行。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>展望未来：安全性与自动驾驶功能并重\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>通过将经验证的驾驶智能与灵活的整合能力相结合，Mobileye 帮助车企在不牺牲道路安全核心的前提下，自信地推动数字化愿景的规模化落地。随着行业向更智能、更互联、更自主的出行方向演进，Mobileye 正推动安全能力与技术演进同步迭代。未来的自动驾驶不仅将具备高度智能，更将以安全为核心定义行业标准。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-12-31T08:00:00.000Z",[71],{"id":335,"type":142,"url":336,"title":337,"description":338,"primary_tag":17,"author_name":18,"is_hidden":47,"lang":173,"meta_description":338,"image":339,"img_alt":340,"content":341,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":342,"tags":343},309,"mobileye-announces-ces-2026-press-conference","Mobileye于CES 2026期间举行新闻发布会","Mobileye总裁兼首席执行官Amnon Shashua教授将于太平洋时间1月6日下午1:45发表年度演讲","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F697b5d8ccebf9baefdbc5c7fc1630189_1766064653115.png","Mobileye即将亮相CES 2026","\u003Cp>\u003Cstrong>耶路撒冷，\u003C\u002Fstrong>\u003Cstrong>2025\u003C\u002Fstrong>\u003Cstrong>年\u003C\u002Fstrong>\u003Cstrong>12\u003C\u002Fstrong>\u003Cstrong>月\u003C\u002Fstrong>\u003Cstrong>18\u003C\u002Fstrong>\u003Cstrong>日\u003C\u002Fstrong> - Mobileye（纳斯达克股票代码：MBLY）宣布，将于CES2026期间举办年度发布会 -“\u003Cstrong>Mobileye Live at CES 2026\u003C\u002Fstrong>”。该发布会将于 2026年1月6日（星期二）太平洋时间下午1:45（北京时间1 月 7 日上午 5:45）举行，Mobileye总裁兼首席执行官Amnon Shashua教授将发表年度主题演讲。\u003C\u002Fp>\n\u003Cp>Shashua教授将阐述Mobileye在实体人工智能（Physical AI）下一阶段的发展愿景，深入解读人工智能关键突破如何持续推动公司技术创新与产品规划的升级。演讲将重点介绍Mobileye高级驾驶辅助与自动驾驶全系列产品的最新技术进展，解析公司推动出行方式变革的核心战略，并前瞻性展望下一代芯片架构发展方向。\u003C\u002Fp>\n\u003Cp>本次发布会还将设有专题对话环节，Shashua教授将与大众汽车自动驾驶出行公司首席执行官Christian Senger进行深度交流，共同探讨双方在自动驾驶规模化落地领域的合作成果。\u003C\u002Fp>\n\u003Cp>本次发布会为邀请制活动，将在拉斯维加斯展会现场举行，并通过Mobileye官方\u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fmobileye\">YouTube频道\u003C\u002Fa>向全球同步直播。\u003C\u002Fp>\n\u003Cp>此外，1月6日至9日展会期间，Mobileye将在拉斯维加斯会展中心（LVCC）西馆设立专属贵宾体验区，接待客户、媒体、行业分析师及合作伙伴。体验区将通过动态演示，全面展示Mobileye全系列产品矩阵、人工智能驱动出行的核心技术，以及EyeQ芯片平台的发展演进。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Mobileye Live at CES 2026\u003C\u002Fspan>\u003C\u002Fstrong> \u003Cbr \u002F>日期：2026年1月6日（星期二）\u003Cbr \u002F>时间：太平洋时间下午1:45\u003Cbr \u002F>\u003Cspan data-contrast=\"auto\">点击\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2026\u002Fregister\u002Fb15158896608a49589967c544827f6f8\u002F\">此处\u003C\u002Fa>注册。\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">+++\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Contacts\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Dan Galves\u003C\u002Fspan> \u003Cbr \u002F>\u003Cspan data-contrast=\"auto\">Investor Relations\u003C\u002Fspan> \u003Cbr \u002F>\u003Ca href=\"mailto:investors@mobileye.com\">\u003Cspan data-contrast=\"auto\">investors@mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Justin Hyde\u003C\u002Fspan> \u003Cbr \u002F>\u003Cspan data-contrast=\"auto\">Media Relations\u003C\u002Fspan> \u003Cbr \u002F>\u003Ca href=\"mailto:justin.hyde@mobileye.com\">\u003Cspan data-contrast=\"auto\">justin.hyde@mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">About Mobileye\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision, mapping and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the wide adoption of advanced driver-assistance systems that bolster driving safety, while pioneering such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety™ (RSS). These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading advanced driver-assistance systems. Through 2024, more than 200 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=54373421&newsitemid=20251210319558&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=1&md5=da9421b7be8d0acc52dcbedbf7ed3380\">\u003Cspan data-contrast=\"auto\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"auto\">.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335557856":16777215,"335559739":360,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335557856":16777215,"335559739":360,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>","2025-12-18T08:00:00.000Z",[50],{"id":345,"type":142,"url":346,"title":347,"description":348,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":348,"image":349,"img_alt":350,"content":351,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":352,"tags":353},308,"ruter-and-holo-choose-moia-with-mobileye-drive-for-next-stage-of-avs","Ruter与Holo携手MOIA，依托Mobileye Drive™推进完全自动驾驶汽车迈入新阶段","挪威奥斯陆公共交通运营商Ruter与完全自动驾驶汽车运营商Holo宣布与MOIA达成合作，将于2026年春季开始开展完全自动驾驶车辆试点运营服务。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1796fb6544453c3291c342755c2d7c2b_1765365401469.jpg","搭载 Mobileye Drive™完全自动驾驶技术的大众ID. Buzz AD 车型，计划纳入大规模的共享按需L4级自动驾驶出行服务体系。","\u003Cp>挪威奥斯陆，2025年12月10日 - 欧洲驾驶自动化领域迎来重要里程碑：挪威奥斯陆公共交通运营商Ruter与专注完全自动驾驶车辆运营的Holo\u003Ca href=\"https:\u002F\u002Fwww.moia.io\u002Fen\u002Fnews\u002Fruter-and-holo-enter-partnership-with-moia\">宣布\u003C\u002Fa>，将与MOIA合作部署搭载Mobileye Drive™系统的ID. Buzz AD车型，该项目计划最早于2026年春季落地。此前两年，Ruter与Holo已对搭载Mobileye Drive™的研发车辆完成了大量测试。此次合作标志着正式向采用Mobileye EyeQ™ 6H芯片的第二代高等级驾驶自动化平台过渡，而该平台将为ID. Buzz AD提供核心驱动支持。\u003C\u002Fp>\n\u003Cp>继与德国汉堡轨道交通运营商Hamburger Hochbahn、德国柏林公共交通运营商BVG及北美科技出行公司\u003Ca href=\"https:\u002F\u002Fwww.moia.io\u002Fen\u002Fnews\u002Fvolkswagen-and-uber-long-term-strategic-partnership\">Uber\u003C\u002Fa>达成合作后，Mobileye Drive™赋能大众集团旗下完全自动驾驶出行服务品牌MOIA，助其依托欧洲首批具备量产条件的SAE L4级完全自动驾驶车辆，实现跨运营区域的规模化拓展。\u003C\u002Fp>\n\u003Cp>为缓解交通拥堵并降低排放，Ruter计划在奥斯陆周边的公共交通网络中引入多达3万台完全自动驾驶共享车辆。ID. Buzz AD车型预计将部署于挪威首都奥斯陆郊区的Groruddalen。自2023年Mobileye与Ruter和Holo联手启动首次试验以来，Groruddalen一直是Mobileye Drive™的测试基地。测试的内容涵盖积雪路面等恶劣天气条件下的性能测试，展示了完全自动驾驶共享出行在复杂城市驾驶环境中的应用潜力，为在现实场景中的部署与运营积累了实践经验。\u003C\u002Fp>\n\u003Cp>Mobileye高等级驾驶自动化事业部执行副总裁Johann Jungwirth表示：“我们很高兴看到Ruter与Holo等出行领域创新者在重塑奥斯陆公共交通格局的过程中，始终信赖Mobileye技术。过去两年，Ruter与Holo已在奥斯陆完成对Mobileye Drive™的大量测试，我们期待2026年ID. Buzz AD的落地能够推动他们继续前行。” \u003C\u002Fp>\n\u003Cp>Mobileye将于2026年1月6日（星期二）在CES 2026上发布人工智能驱动的高等级驾驶自动化技术的最新进展。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with our autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in artificial intelligence, computer vision, mapping and integrated software and hardware. Since our founding in 1999, Mobileye has enabled the wide adoption of advanced driver-assistance systems that bolster driving safety, while pioneering such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety™ (RSS). These technologies drive the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions at scale, and powering industry-leading advanced driver-assistance systems. Through 2024, more than 200 million vehicles worldwide have been built with Mobileye’s EyeQ technology inside. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=54167879&newsitemid=20241217366044&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=7&md5=25e995ce7275b1a687baef28e2f033a3\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fspan>\u003C\u002Fp>","2025-12-10T08:00:00.000Z",[141],{"id":355,"type":14,"url":356,"title":357,"description":358,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":358,"image":359,"img_alt":360,"content":361,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":362,"tags":363},307,"how-mobileye-redefines-camera-design-with-dual-hdr-image-capture","Mobileye借助双HDR图像捕捉技术，重新定义摄像头设计","Mobileye正在推出一项创新的技术方案，重新定义高动态范围（HDR）场景的最佳成像方式。 ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F8350a99b5ec22630290f9c05c7fea69a_1765273985964.jpg","该方案旨在攻克汽车成像领域一项长期存在的挑战。","\u003Cp>汽车软硬件的交融无处不在，对能更高效融合二者的技术需求也愈发迫切。摄像头设计正是这一行业普遍需求的典型例证。\u003C\u002Fp>\n\u003Cp>支持软硬件深度融合的技术研发始终是Mobileye的战略核心。通过采用一种全新的摄像头架构，Mobileye推出了一套重新定义高动态范围（HDR）场景捕捉方式的创新方法。  \u003C\u002Fp>\n\u003Cp>该方法由Mobileye开发，供指定传感器供应商使用，并支持车规级系统集成，旨在攻克汽车成像领域一项长期存在的挑战：在曝光时间、运动、光照与拍摄距离之间实现最佳平衡。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>汽车摄像头的曝光困境\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>汽车成像需考量诸多因素，其中一个关键问题是：摄像头如何在高速行驶的场景中，面对不同光照条件，仍能以合适的曝光清晰捕捉图像。\u003C\u002Fp>\n\u003Cp>在夜间或弱光环境下，成像会面临显著挑战。众所周知，光线不足时，需要延长曝光时间来照亮远处或光线较暗的物体，但这样会加剧运动模糊。反之，缩短曝光时间虽能保证运动物体的清晰度，却会大幅降低暗光场景的可见度。这两种情况最终均会导致信息丢失与图像质量下降。\u003C\u002Fp>\n\u003Cp>白天也会出现曝光问题，尤其是在识别 LED 信号灯时。白天，摄像头传感器采用短曝光模式以抑制运动模糊，但该曝光时长并不总是与LED的脉冲周期同步。由于LED脉冲频率极高，人眼感知到的是稳定光源，但摄像头可能在灯光熄灭的瞬间捕捉画面，从而导致出现LED频闪现象。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>解决方案——双\u003C\u002Fstrong>\u003Cstrong>HDR\u003C\u002Fstrong>\u003Cstrong>图像捕捉技术\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>核心问题在于，如何在不增加系统复杂度的前提下权衡曝光问题。增设一颗可在不同曝光参数下捕捉HDR图像的摄像头虽能解决这一矛盾，但会显著增加成本与软件适配难度，难以实现规模化应用。为此，Mobileye潜心研发了“双HDR图像捕捉技术”。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"335559738":240,"335559739":240}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F944ad29ff3630a5637532ab53cdeb1bc_1765288467997.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>采用该技术后，单颗摄像头能够在可忽略不计的时间间隔内，生成两幅HDR图像，意味着在同一帧周期内可输出两张不同曝光参数的独立HDR图像。\u003C\u002Fp>\n\u003Cp>这一方法为算法提供了更丰富的视觉数据，来帮助其解析场景。因此，无需增设第二颗摄像头，系统即可近乎同步捕捉同一场景的长曝光HDR图像与短曝光HDR图像。\u003C\u002Fp>\n\u003Cp>尽管这一过程增加了HDR图像的数量，但并不意味着需要成倍增加处理资源。系统无需传输两张完整的800万像素图像，而是可将其中一张降低分辨率，以有效降低MIPI带宽占用并降低整体数据负载。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1a63d36fa844850e940e3258c8019417_1765288501973.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>该解决方案有望实现：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>弱光图像质量提升约2倍  \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli>夜间运动模糊降低约5倍  \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli>白天大幅降低LED频闪，同时尽量不影响高速运动物体的检测性能\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cem>\u003Cspan data-contrast=\"none\">*\u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-ccp-props=\"{}\">\u003Cem>上述性能提升需在理想的系统运行与车辆行驶工况下实现。  \u003C\u002Fem> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ffe8a1d7de9a3fb0377c1688d937ad512_1765288531346.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>对于传感器供应商而言，该技术为提升成像性能提供了切实可行的路径。对于车企而言，可在不增加系统负担的前提下，输出更稳定的环境感知数据，从而提升ADAS性能。总体而言，该解决方案旨在提升汽车成像系统的画质与运行效率。\u003C\u002Fp>\n\u003Ch4>\u003Cem>免责声明：双\u003C\u002Fem>\u003Cem> HDR \u003C\u002Fem>\u003Cem>捕获技术由\u003C\u002Fem>\u003Cem> Mobileye\u003C\u002Fem>\u003Cem>开发，供指定图像传感器供应商合作使用，为其潜在的车规级系统集成应用提供支持。\u003C\u002Fem>\u003C\u002Fh4>\n\u003Cp> \u003C\u002Fp>","2025-12-09T08:00:00.000Z",[108],{"id":365,"type":14,"url":366,"title":367,"description":368,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":368,"image":369,"img_alt":370,"content":371,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":372,"tags":373},306,"tackling-global-regulations-and-safety-standards","应对全球监管与安全标准","对话Mobileye感知产品团队","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F56907f06e9d6113ecdd3bf2cdbca20da_1763631781685.jpg","本文观点仅属Mobileye感知团队成员的个人见解，并不代表公司官方立场。","\u003Cp>面对全球不同地区纷繁复杂的法规要求，车企或许会困惑于应优先关注哪些考量。为此，我们邀请了Mobileye辅助驾驶与高等级驾驶自动化法规经理Nir Hamzani，以及感知产品管理高级总监Shai Hershkovich，与我们分享他们的专业洞见。两位在日常工作中持续研究并在公司内部分享当前及未来行业法规动态。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>车企应优先关注哪些法规要求？\u003C\u002Fstrong>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>要回答这一问题，需要先从宏观层面把握。法规是一个宽泛概念，不仅包括强制性规定，也包括各类评估体系。以欧洲新车安全评估（Euro NCAP）为例，该机构通过对车辆安全系统进行测试与评估，方便消费者进行横向对比。尽管其并非强制性法规，却是消费者购车时的重要指标。全球多国均设有类似NCAP的车辆评价体系，且各有侧重，例如，中国近年来新增了针对电动自行车等的相应的要求与标准。另一方面，车企想进入特定国家市场销售产品，必须遵守当地的强制性法规。\u003C\u002Fp>\n\u003Cp>在评估体系层面，评级结果直接影响消费者决策，具有举足轻重的影响力。这些法规考量会直接影响生产规划，例如，车企为提升安全性能加装前向泊车摄像头时，则必须确保其不遮挡驾驶员视野。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>高等级驾驶自动化作为新兴领域，如何确立其安全基准？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>需要指出的是，由于高等级驾驶自动化领域仍然非常新，通用的安全标准形成较慢。需待高等级驾驶自动化汽车普及度提升后，法规体系方能逐步完善。随着行业不断发展，针对测试、性能及安全管理的清晰规范将逐步完善，进而形成更严谨、更统一的安全基准。\u003C\u002Fp>\n\u003Cp>以ADAS领域为例，各类评估体系均在持续迭代，监管机构通过对不同场景下事故案例的追踪归类，逐步确立安全基准。各评估体系均致力于拓宽安全边界，以减少更多事故及伤亡的发生。同时，这些体系通过安全评分机制，方便消费者对不同车辆进行对比。随着ADAS技术的不断发展，行业各方与监管机构正在携手设定安全阈值。值得注意的是，ADAS与高等级驾驶自动化汽车能力之间的差距的缩小，促使更多涉及驾驶员参与度的法规出台。例如，R79法规最初向车企明确车辆自动转向时的允许行为，其部分是通过预警方式确保驾驶员保持全程参与。\u003C\u002Fp>\n\u003Cp>然而，欧盟近期通过的驾驶员控制辅助系统（DCAS）法规更为严格，要求L2级车辆必须配备专用驾驶员监测系统（DMS）来监测驾驶员参与度。中国也紧随这一趋势，即将推出的组合辅助驾驶系统（CDAS）框架同样强制要求安装DMS。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>未来是否可能形成全球统一的安全评级标准？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>这个问题很难给出确切答案，但就目前来看，可能性较低。各地区监管机构与标准体系存在差异，各机构的运作相对独立，其制定的标准均切合当地的实际情况，包括道路设计、基础设施、驾驶文化、气候条件乃至社会规范等。值得一提的是，Euro NCAP的五星评级已被广泛视为全球车辆的顶级安全基准，即便该标准具有欧洲地域针对性，高端车企仍普遍将其作为产品设计的重要参考。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>欧美法规在实际应用中的关键差异体现在哪些方面？\u003C\u002Fstrong>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>这是一个很好的问题。我们确实观察到这两个市场的监管模式存在显著差异。目前，美国尚未出台联邦层面的高等级驾驶自动化法规。例如，某些品牌部分车型在美国市场具备的功能，在欧洲市场可能无法合法使用。一些车型虽搭载驾驶自动化功能，但目前仅能在获得相关监管机构测试许可的国家进行测试。\u003C\u002Fp>\n\u003Cp>此外，还需区分测试与商用部署的差异。在美国，联邦法规层面未限制高等级驾驶自动化汽车的测试。即便这些车辆尚未获得商用化使用批准，但在大多数州，车企持各州颁发的许可即可开展测试。例如，加州旧金山、洛杉矶及亚利桑那州凤凰城均在开展自动驾驶出租车的测试。与此同时，欧盟已出台相关法规，允许开展驾驶员“运动脱离”等功能的驾驶。但需指出的是，这仍属于安全员监管下的L2级组合辅助驾驶功能，并非完全自动驾驶。因此，若要在伦敦等城市推出无人驾驶服务，必须获得当地政府的批准。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>智能车速辅助（\u003C\u002Fstrong>\u003Cstrong>ISA\u003C\u002Fstrong>\u003Cstrong>）法规的最新动向及其事故预防成效如何？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>我们查阅了大量与超速相关的道路事故研究，对此有着清晰的认知。自2024年7月起，欧洲所有新车均必须强制配备ISA系统。其他地区正在密切关注欧洲的推行效果，相关成效评估报告预计将在未来两三年内发布。对于各地区或国家而言，是否将该技术纳入法规体系，取决于其提升道路安全的具体目标与重视程度。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>对于\u003C\u002Fstrong>\u003Cstrong>ISA\u003C\u002Fstrong>\u003Cstrong>这类存在地区标准差异的功能，车企应如何管理或优化生产策略？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>不同地区的强制性要求是车企必须遵守的底线。例如，欧洲市场的所有车辆均需配备ISA或自动紧急制动系统；面向欧洲市场生产低成本车型的车企需搭载前向摄像头，以符合通用安全法规（GSR）要求。这些要求及具体技术规范，必须在设计阶段提前纳入考量。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>最后，即将更新的\u003C\u002Fstrong>\u003Cstrong>FMVSS\u003C\u002Fstrong>\u003Cstrong>法规对车企的高等级驾驶自动化规划有何影响？\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>首先需要说明的是，即将发布的FMVSS-127更新版本仍在最终定稿阶段。但我们认为，把握其发展方向有助于车企未雨绸缪。对车企而言，及早顺应标准的演变趋势，有助于在新规生效时更顺畅地完成合规验证并做好部署准备。尽管美国的监管框架较欧洲的型式认证模式更为灵活，但这些发展动态表明全球ADAS领域正朝着更强有力的安全保障及数据驱动型评估的方向转变。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-11-20T08:00:00.000Z",[108],{"id":375,"type":14,"url":376,"title":377,"description":378,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":378,"image":379,"img_alt":380,"content":381,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":382,"tags":383},304,"level-3-autonomy-explained","L3级有条件自动驾驶解析及其对车企的意义","何为L3级有条件自动驾驶？实现该级别驾驶需满足哪些条件？本文将探讨为何L3级有条件自动驾驶正在成为车企的战略核心","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Feaf2ceb1613e6963bc54063be51a9ef2_1759148050677.jpg","AI生成图片","\u003Ch3>何为L3级有条件自动驾驶？\u003C\u002Fh3>\n\u003Cp>L3级有条件自动驾驶，即具备 “运动脱离\u002F视觉脱离”驾驶能力，是实现驾驶自动化跨越式发展的关键节点。根据美国汽车工程师学会（\u003Ca href=\"https:\u002F\u002Fwww.sae.org\u002Fstandards\u002Fj3016_202104-taxonomy-definitions-terms-related-driving-automation-systems-road-motor-vehicles\">SAE\u003C\u002Fa>）的定义，L3级属于“有条件自动驾驶”，车辆在特定条件下无需人工干预即可自主行驶，但仍要求驾驶员在必要时随时准备接管车辆。该级别可提供真正的“运动脱离\u002F视觉脱离”驾驶体验，但仅适用于地图精准、环境可控的场景，例如高速公路或低速的拥堵路况。\u003C\u002Fp>\n\u003Cp>在消费级驾驶自动化汽车领域，L3级是目前最受关注的阶段：它既能实现“运动脱离\u002F视觉脱离”驾驶能力，享有高端驾乘体验，又无需承担无人工干预的L4级完全自动驾驶系统的复杂性和高成本。\u003C\u002Fp>\n\u003Ch3>为何L3级有条件自动驾驶具有重要意义？\u003C\u002Fh3>\n\u003Cp>L3级是驾驶体验发生实质性转变的分水岭。尽管驾驶员仍需在必要时接管车辆，但驾驶体验不再局限于 “持续掌控车辆” 。这一阶段让驾驶员可以获得短暂的放松时刻，例如回头看看后排的孩子，或在漫长通勤途中稍作放空。从用户心理层面看，L3级标志着人与驾驶行为之间新关系的开端。\u003C\u002Fp>\n\u003Cp>从技术层面来看，L2级与L4级之间虽仅相差一个等级，但差异却极为显著：L2级属于较低级别的驾驶自动化形式，需要驾驶员全程监督与参与；L4级则可在特定区域内实现完全自主行驶，无需驾驶员参与和操控、承担责任，更无需进行任何人工干预。\u003C\u002Fp>\n\u003Ch3>实现L3级有条件自动驾驶需满足哪些条件？\u003C\u002Fh3>\n\u003Cp>推动L3级有条件自动驾驶大规模量产落地，需综合考虑多方面因素，其中两项核心要素尤为关键：\u003C\u002Fp>\n\u003Cp>第一是稳定可靠的技术体系。其核心是实现驾驶员与人工智能（AI）之间的平稳安全接管转换。一套成熟的L3级有条件自动驾驶系统需具备多维度能力，以确保接管过程可靠、人机协作顺畅。其中，很大一部分取决于芯片的计算性能，以及其在处理完整驾驶功能栈时的速度与效率，包括高级辅助驾驶系统（ADAS）、驾驶员监控系统（DMS）、传感器感知、定位技术、自动泊车、在线升级（OTA）等。除驾驶自动化核心技术的可靠性外，还有如下第二项关键因素同样不可或缺。\u003C\u002Fp>\n\u003Cp>第二项因素来自汽车生产之外的外部环境——监管框架。L3级有条件自动驾驶的落地依赖于多方协同构建的生态：监管机构、公共政策制定者、车企、保险公司等，以真实路况数据为支撑，共同打造适合 “运动脱离\u002F视觉脱离” 驾驶发展的体系。该框架不仅需覆盖道路通行法规，还需考虑驾驶自动化技术对驾驶员行为习惯的影响。目前，行业围绕责任划分、监管标准、保险体系等方面的政策正在逐步完善与协调，以最终获得公众信赖和认可，为规模化应用创造条件。\u003C\u002Fp>\n\u003Cp>随着路况数据的持续积累，针对不同情境的监管与责任框架将会逐渐明朗化——无论是通过建立混合责任模式，还是推出能够公平覆盖各方利益的全新保险产品。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F6dc3c49165df922bfbcb7509adac8357_1759149226755.png\" alt=\"\" width=\"600\" height=\"233\" \u002F>\u003C\u002Fh6>\n\u003Ch6>“推动L3级有条件自动驾驶大规模量产落地，需综合考虑多方面因素”\u003C\u002Fh6>\n\u003Ch3>车企为何要投入研发L3级有条件自动驾驶系统？\u003C\u002Fh3>\n\u003Cp>若驾驶自动化系统可兼容不同等级的驾驶辅助功能，车企便能稳步推进驾驶自动化技术的提升。依托合理的技术基础，单一系统即可通过集成不同数量的系统集成芯片（SoC）实现系列不同功能配置。\u003C\u002Fp>\n\u003Cp>目前，自适应巡航（ACC）、自动紧急制动（AEB）等L1级与L2级辅助驾驶功能已成为多数新车的标配，消费者既关注安全性也重视便利性，而车企则需寻求差异化竞争优势。因此，L3自然成为下一步自动化发展方向。借助L3级技术，车企可实现特定场景下的“视觉脱离”驾驶，灵活兼容L1、L2、L3功能，并为更高级别的驾驶自动化技术奠定基础。如今，随着核心技术逐步具备量产条件、监管框架日趋完善，越来越多车企开始筹备L3级系统的市场化落地，进一步推动了有条件自动驾驶的关注度升温。\u003C\u002Fp>\n\u003Ch3>车企需要怎样的L3级解决方案？\u003C\u002Fh3>\n\u003Cp>Mobileye推出的L3级解决方案Mobileye Chauffeur™有条件自动驾驶系统，可在所有常规道路类型中实现时速达80 mph (130 km\u002Fh) 的 “视觉脱离” 驾驶。\u003C\u002Fp>\n\u003Cp>这套复合技术栈*整合了多维度硬件与软件能力：包含11套摄像头、环视式雷达组和一颗前向激光雷达的传感器套件，3颗EyeQ™6H系统集成芯片（SoC）；以及由智能路网技术支持、持续更新的众源地图。部分车企的落地路径为：先通过专业的高级辅助驾驶系统（ADAS）供应商或技术服务商部署核心辅助驾驶系统，因为这些供应商具备实施此类系统的专业经验，可提供不同等级的驾驶自动化方案定制，再通过后续升级逐步提升驾驶自动化级别。这也正是当前汽车行业“可扩展架构”的核心价值所在。\u003C\u002Fp>\n\u003Ch3>未来发展方向\u003C\u002Fh3>\n\u003Cp>L3级有条件自动驾驶不仅是一项技术里程碑，更是汽车行业的战略转折点。它在不进入完全自动驾驶系统的复杂性的前提下，为创新提供了空间，为整车厂提供了一条可行路径——既能在当下提供高端、差异化的驾驶体验，又能为未来的发展打下坚实基础。借助Mobileye Chauffeur™等解决方案，“运动脱离\u002F视觉脱离”驾驶的落地不仅具备可行性，还能实现规模化应用与灵活适配，并且能够随着监管政策、技术迭代与消费者需求共同演进。\u003C\u002Fp>\n\u003Cp>深入了解Mobileye Chauffeur™技术，请点击\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fchauffeur\u002F\">此处\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>*注：功能可用性与性能受多重因素影响，包括产品及车辆规格、使用手册、设计运行范围（ODD）及法律法规限制。必要时，驾驶员需保持专注并准备随时接管车辆。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-10-29T07:00:00.000Z",[65,108,71],{"id":385,"type":14,"url":386,"title":387,"description":388,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":388,"image":389,"img_alt":380,"content":390,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":391,"tags":392},303,"what-is-fmvss-127-and-how-can-mobileye-help-automakers-comply","FMVSS 127是什么？Mobileye如何助力车企达标？","道路安全始终是全球监管机构的首要任务。Mobileye 正以更简单、更具成本效益的方式，帮助车企满足新规要求。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F652ed8b507e14a1a56e5ac3897ba31be_1759222293495.jpg","\u003Cp>提高道路安全一直是全球交通行业的重要目标。美国国家公路交通安全管理局（NHTSA）近日更新了针对乘用车AEB自动紧急制动系统的相关法规，明确表明监管机构正在加速推动事故与伤亡的减少，要求未来车辆能够更好地识别并避免车辆及行人碰撞风险。\u003C\u002Fp>\n\u003Cp>然而，要在商业化规模上落实这些安全功能，往往需要高昂的成本、大量的监管投入、复杂的技术体系以及严苛的测试流程。Mobileye 基于 EyeQ™芯片的纯视觉解决方案，能够在无需增加额外硬件的前提下，助力汽车制造商高效应对全新法规要求，同时降低集成复杂度并有效控制系统的成本。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff79a08807463cac5fbce40966eabe445_1759223356388.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fh6>\n\u003Ch6>\u003Cstrong>Mobileye AEB \u003C\u002Fstrong>\u003Cstrong>夜间测试：行人从遮挡物后向冲出，系统瞬间识别并触发制动响应。\u003C\u002Fstrong>\u003C\u002Fh6>\n\u003Ch3>\u003Cstrong>FMVSS 127\u003C\u002Fstrong>\u003Cstrong>是什么？为何如此重要？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>《联邦机动车安全标准（FMVSS）127》（FMVSS 127）是美国国家公路交通安全管理局发布的新规，要求所有乘用车及轻型卡车必须配备自动紧急制动（AEB）系统，其中包含行人自动紧急制动（PAEB）功能。  \u003C\u002Fp>\n\u003Cp>根据该标准，车辆必须能够在最高 62 英里\u002F小时（约 100 公里\u002F小时）的速度下识别到前车，并实现无碰撞制动，同时系统还需能够在日间和夜间环境下具备行人检测能力。此外，当判定与前车存在碰撞风险时，系统必须能够在最高 90 英里\u002F小时（145 公里\u002F小时）速度下自动制动；在识别到行人时，制动触发车速需覆盖至 45 英里\u002F小时（73 公里\u002F小时）。预计该标准将显著提升驾乘者及行人的道路安全。NHTSA 预测其每年至少可拯救 360 人生命，避免超过 24,000 起人身伤害。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>简单高效的纯视觉解决方案 \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>根据当前FMVSS 127法规要求，系统必须在标准测试流程中有效避免与前车及行人（测试假人）的碰撞。\u003C\u002Fp>\n\u003Cp>车辆需在一系列定义明确的测试场景中，在多种工况与光照条件下均能表现出一致、及时的制动响应能力，并在高速状态下保持稳定性能表现。Mobileye 提供的高性价比的纯视觉解决方案完全基于摄像头，无需雷达或激光雷达硬件支持。精简硬件架构不仅可有效降低整套系统成本及工程复杂度，同时依然能够通过单颗系统集成芯片（SoC）满足法规所要求的严苛性能标准。\u003C\u002Fp>\n\u003Cp>这一能力基于 Mobileye EyeQ™6L SoC，其搭载的专有 AI 模型以海量真实路测数据进行训练。这使主机厂能够将 Mobileye 的 SoC 与前视摄像头集成，实现符合法规要求的核心安全功能，而无需进行大规模的重新认证或额外验证流程。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb46f5817579c6dde02ff7137879fab7a_1759223475578.png\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fh6>\n\u003Ch6>\u003Cstrong>Mobileye AEB\u003C\u002Fstrong>\u003Cstrong>应用场景：识别行人并辅助避免碰撞。\u003C\u002Fstrong>\u003C\u002Fh6>\n\u003Ch3>\u003Cstrong>真实路测数据支持法规验证\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>目前，Mobileye辅助驾驶系统已集成至数百款量产车型中，构建起覆盖不同道路类型、不同大洲、不同驾驶工况的庞大数据库。\u003C\u002Fp>\n\u003Cp>依托约20万小时、超1,100万公里的真实驾驶数据，我们的AEB 系统在美国、欧洲、亚洲多地城市及城镇的各类道路场景中，以及多种光照条件（白天、黎明、傍晚、黄昏及夜间）下接受了严苛的响应能力测试。验证结果显示，系统表现优秀，误报和漏报均非常低。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>精简化生产，轻松满足法规\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye EyeQ 是一款高性价比大众市场 ADAS SoC，架构优化于前视摄像头和核心安全功能。主机厂可集成 EyeQ SoC 高效支持法规合规，同时模块化、面向未来的设计为后续驾驶辅助功能扩展提供灵活空间。所有传感器升级与高级功能均可集中于单颗芯片上运行，由强大的 AI 系统提供支持。\u003C\u002Fp>\n\u003Cp>Mobileye 始终提供符合监管标准的解决方案。例如，Mobileye 开创了纯视觉智能限速辅助（ISA）系统，帮助主机厂高效应对欧盟《通用安全法规》（GSR）要求。该解决方案基于 EyeQ 平台开发，并在 27 个欧盟国家获得认证，已搭载 EyeQ4 和 EyeQ6 芯片的车型仅需软件升级即可符合新规，无需额外硬件。\u003C\u002Fp>\n\u003Cp>结合先进技术、真实路测验证以及与众多主机厂的紧密合作，Mobileye 是满足 FMVSS 127 的理想合作伙伴。通过纯视觉系统、强大可扩展的 SoC 及多年量产经验，Mobileye 提供简单、面向未来的方案：降低系统复杂度、削减硬件成本，并通过软件更新实现持续功能优化，既满足当前法规要求，也可灵活应对未来需求。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-teams=\"true\">\u003Cem>*\u003C\u002Fem>\u003C\u002Fspan>\u003Cem>系统性能及可用性受产品规格、设计运行范围（\u003C\u002Fem>\u003Cem>ODD\u003C\u002Fem>\u003Cem>）及环境条件等多种因素影响。\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-10-09T07:00:00.000Z",[108],{"id":394,"type":14,"url":395,"title":396,"description":397,"primary_tag":77,"author_name":18,"is_hidden":47,"lang":173,"meta_description":397,"image":398,"img_alt":399,"content":400,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":401,"tags":402},302,"from-pilot-testing-to-auto-pilot-driven-by-mobileye","从路测试点到全面驾驶自动化 – Driven by Mobileye™ ","首代 Mobileye Drive™ 如何为新一代可规模化的驾驶自动化方案部署铺平道路。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff2dee641e3e42976750ce90d18b3ee40_1756291478845.jpg","VW ID Buzz.","\u003Cp>自动驾驶车辆出行不再只是未来愿景，而是正在全球各大城市逐步落地的现实。Mobileye始终秉持“先啃硬骨头”的理念，以便在规模化部署时能够更快推进。通过携手汽车制造商、车队运营商和出行服务提供商构建战略生态体系，让Driven by Mobileye™的车辆在欧洲和北美部分地区上路试点，为整个产业链积累经验与价值。这些方案旨在支持自动驾驶“出行即服务” (MaaS) 的多种应用场景，例如Robotaxi（自动驾驶出租车）、网约车与共享出行，同时也为更先进的下一代解决方案铺平道路。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cdiv style=\"padding: 56.25% 0 0 0; position: relative;\">\u003Ciframe style=\"position: absolute; top: 0; left: 0; width: 100%; height: 100%;\" title=\"Mobileye MaaS commercial video\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1114803762?h=a2cd9d910c&badge=0&autopause=0&player_id=0&app_id=58479\" frameborder=\"0\" data-mce-fragment=\"1\">\u003C\u002Fiframe>\u003C\u002Fdiv>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>目前，首代Mobileye Drive™技术正在挪威、德国和美国开展试点路测，通过开放限定的服务与功能，旨在让生态系统参与者逐步接触并体验“出行即服务”（MaaS） 。例如，6辆搭载首代Mobileye Drive™的NIO测试车（配备安全员），在奥斯陆郊外的格鲁鲁河谷进行测试，另有6辆车在德国法兰克福周边开展测试。这些路测项目为生态系统参与者提供了宝贵机会--既能学习按需接驳（on-demand shuttle）的新流程，也能不断优化自身平台与用户体验。这些测试车辆搭载了我们的第一代技术套件，包含摄像头系统、雷达与激光雷达系统组成的多传感器融合方案，以及Mobileye EyeQ™5芯片处理器。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb38b6a3cfa1c9ddd8cc1ff6a13de4751_1756291595167.jpg\" alt=\"\" width=\"600\" height=\"338\" \u002F>\u003C\u002Fp>\n\u003Cp>根据路测反馈，新一代Mobileye Drive™技术针对出行服务和汽车规模化量产进行了专项优化。以搭载Mobileye Drive™的大众ID.Buzz为例，其采用新一代Mobileye Drive ECU，内置四颗我们迄今功能最强的EyeQ™6H芯片。凭借更强大的感知组合，包括Mobileye成像雷达、优化的算法，以及透明的复合人工智能（Compound AI） 架构，新一代平台在感知精度和系统鲁棒性上有显著提升，旨在为行业提供高性能、可扩展且具备成本优势的解决方案。除更精准可靠的感知能力外，量产版Mobileye Drive™技术栈还解锁了多个驾驶自动化新路径，例如我们的首席执行官Amnon Shashua教授与首席技术官Shai Shalev-Shwartz教授在\u003Ca href=\"https:\u002F\u002Fmp.weixin.qq.com\u002Fs?__biz=MzI3OTY5NjUwNw==&mid=2247494628&idx=1&sn=c230310f562a86b0456dc6497bc74bcb&scene=21#wechat_redirect\">Mobileye Driving AI活动\u003C\u002Fa>上提出的PGF（Primary-Guardian-Fallback）AI系统。\u003C\u002Fp>\n\u003Cp>要实现大规模的自动驾驶出行服务（MaaS），不仅仅依靠技术创新，更需要在“道路”和“服务”两方面都做到极致。这意味着系统必须兼具精确性、安全性与高效性，并且在设计之初就要具备规模化的能力。这其中既包括对本地驾驶文化的适应和对各类极端场景的处理，也包括对用户需求的洞察、打造便捷友好的出行平台，以及车辆日常运维的管理。这些都是在落地过程中必须考量的多层次要素。正因如此，首代Mobileye Drive™技术对于打磨和验证下一代产品至关重要，将帮助车辆设计师、车队运营商和出行服务商全面兑现驾驶自动化的承诺。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-09-01T07:00:00.000Z",[78],{"id":404,"type":142,"url":405,"title":406,"description":407,"primary_tag":17,"author_name":18,"is_hidden":47,"lang":173,"meta_description":407,"image":408,"img_alt":409,"content":410,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":411,"tags":412},301,"prof-amnon-shashua-named-to-time100-ai-list","Amnon Shashua 教授入选《时代》周刊全球百大AI影响力人物","TIME100 AI 评选出全球人工智能领域最具影响力的 100 人。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F74fa93cba8273c6b5416108a4d4bc2f2_1756382949215.jpg","Mobileye 创始人 Amnon Shashua 教授荣登2025年度《时代》周刊全球百大AI影响力人物榜单。 (Credit: Yanai Yechiel)","\u003Cp>Mobileye 创始人、首席执行官兼总裁Amnon Shashua教授近日入选\u003Ca href=\"http:\u002F\u002Ftime.com\u002Ftime100ai\">《时代》周刊全球百大AI影响力人物\u003C\u002Fa>榜单，该榜单旨在表彰全球人工智能（AI）领域最受瞩目的百位杰出代表。Shashua教授因其在驾驶自动化、机器人技术、语言模型与高级推理等人工智能现实应用领域的卓越贡献而获此殊荣。\u003C\u002Fp>\n\u003Cp>作为人工智能研究领域的先行者，Shashua教授持续推动Mobileye高级驾驶辅助系统与高等级驾驶自动化解决方案的商业化落地及发展。Mobileye成立25年来，始终引领并推动人工智能技术的创新与应用，致力于将尖端研究成果转化为挽救生命的汽车技术，其解决方案已部署于全球超过两亿辆汽车。\u003C\u002Fp>\n\u003Cp>驾驶自动化是“物理人工智能”最具前景的应用领域之一，此类智能系统必须能够与现实世界实时交互并带来实际影响。这项技术具有革新交通体系、挽救数百万人生命的潜力，而其实现取决于能否兼顾安全性与可扩展性，这一挑战正是Shashua教授二十余年以来的研究动力。在Shashua教授的领导下，Mobileye为驾驶自动化的实现定义了清晰的技术路径，将先进的人工智能技术与工程精密性相结合，以达到系统所需的安全性和规模化部署能力，并带来变革性影响。\u003C\u002Fp>\n\u003Cp>Shashua教授对系统安全性与透明度的执着追求是他对行业发展产生深远影响的关键所在。2017年，Mobileye 推出\u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fpdf\u002F1708.06374\">责任敏感安全模型\u003C\u002Fa>（RSS），为人工智能驱动的高等级驾驶自动化确立了安全定义与保障框架。2024年，Shashua教授与Mobileye首席技术官Shai Shalev-Shwartz教授共同发布\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Ffiles\u002FSDS_Safety_Architecture.pdf\">《高等级驾驶自动化系统安全架构》\u003C\u002Fa>，提出了设计驾驶自动化系统、评估性能及消除不合理风险的核心原则，进一步完善了该体系。其种种贡献为监管机构、汽车制造商和公众评估驾驶自动化的安全性构建了更为清晰的路线图。\u003C\u002Fp>\n\u003Cp>作为\u003Ca href=\"https:\u002F\u002Fwww.menteebot.com\u002F\">Mentee Robotics\u003C\u002Fa>联合创始人，Shashua教授正在领导开发以人工智能为核心的人形机器人。此类机器人专为现实环境而设计，能够执行家庭与仓储场景中的高级任务。2025年亮相的Mentee原型机以量产为目标，展现出卓越的敏捷性、力量感知与持续运行能力，彰显了物理人工智能在工业与日常生活中的应用潜力。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">此外，Shashua教授还与\u003Ca href=\"https:\u002F\u002Fdoubleai.com\u002F\">AAI Technologies\u003C\u002Fa>联手，力图攻克人工智能的下一个前沿领域：“破解超级智能的密码”。在其领导下，AAI正在开发深度推理与学习的新范式，模拟科学家探索发现的迭代过程，为构建超越人类科学、技术、工程、数学（STEM）专业能力的超级人工智能绘制技术蓝图。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>这些成果共同体现了Shashua教授在以下三大关键领域塑造人工智能未来的愿景：致力于更安全的驾驶自动化、构建感知物理世界的智能机器，以及攻克需要专家级推理能力的复杂科学难题。\u003C\u002Fp>\n\u003Cp>《时代》周刊编辑团队通过梳理过去一年内人工智能领域的重大进展，结合行业领袖与专家意见，最终遴选出百位影响力人物。入选的百位领袖、创新者、塑造者与思想者共同影响着人工智能的未来发展。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">完整榜单请参阅: \u003C\u002Fspan>\u003Ca href=\"http:\u002F\u002Ftime.com\u002Ftime100ai\">\u003Cspan data-contrast=\"none\">time.com\u002Ftime100ai\u003C\u002Fspan>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-08-28T07:00:00.000Z",[50],{"id":414,"type":14,"url":415,"title":416,"description":417,"primary_tag":59,"author_name":18,"is_hidden":47,"lang":173,"meta_description":417,"image":418,"img_alt":419,"content":420,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":421,"tags":422},300,"compound-ai-the-framework-powering-scalable-autonomy","复合人工智能：赋能可扩展驾驶自动化的技术架构","人工智能（AI）革命方兴未艾，其对驾驶领域的影响尤为深远。随着AI系统能力不断提升，其底层技术已成为竞争的核心焦点。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb5767eb911fc0460e9110b1c81ec69ef_1753943068689.jpg","驾驶自动化可明确分解为感知、规划、执行等模块，每个模块对应一个或多个专用模型。","\u003Cp>在AI领域，Mobileye 独辟蹊径，植根于系统设计、现实世界验证与规模化。这一理念体现在我们的“复合人工智能（Compound AI）”架构中：融合灵活的端到端学习与专用算法，实现安全、可扩展的部署。它不单是架构体系，更是一套指导框架，为当前的高级辅助驾驶系统和更高等级驾驶自动化解决方案提供核心驱动力。\u003C\u002Fp>\n\u003Cp>本文将解析 Mobileye 复合人工智能架构的内涵及其如何奠定可扩展驾驶自动化的基石。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>何为面向高等级驾驶自动化的复合人工智能架构？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>复合人工智能架构是指集成多个专用化、定制化的AI模型协同工作，以解决那些单一模型难以高效应对的复杂任务。与依赖单一通用型模型的方式不同，复合人工智能采用模块化、分层的架构。每个模块都针对特定子任务进行优化，系统通过协调各模块的输出，生成具连贯性且智能化的结果。\u003C\u002Fp>\n\u003Cp>目前，许多高等级驾驶自动化系统仍依赖于单一的端到端模型，将驾驶自动化视为一个庞大的学习任务。这种方法试图通过视觉输入学习全部内容，从而构建驾驶策略，即所谓的“从光子到控制”。\u003C\u002Fp>\n\u003Cp>然而，越来越多的尖端AI成果出自复合系统。此类架构由多个专用模块构成，各司其职。正如\u003Ca href=\"https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\">伯克利人工智能研究所（BAIR）\u003C\u002Fa>所称：“当前最先进的AI成果，正日益由多模块复合系统实现。”\u003C\u002Fp>\n\u003Cp>Mobileye 的复合人工智能架构也遵循相同的理念，将驾驶自动化明确解耦为感知（sensing）、规划（planning）、执行（acting）等模块，每个模块对应一个或多个专用的 AI 模型。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Mobileye \u003C\u002Fstrong>\u003Cstrong>如何实践复合人工智能？\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>如 Mobileye《\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fthe-mobileye-safety-methodology-for-fully-autonomous-driving\u002F\">高等级驾驶自动化系统安全架构\u003C\u002Fa>》所述，实现可扩展驾驶自动化系统所需的安全性与可靠性需要坚实的技术基础。而Mobileye的技术基础在于模块化设计、多源独立感知模态以及多层冗余。\u003C\u002Fp>\n\u003Cp>这是 Mobileye 在开发现实世界 AI 系统时所采取的策略，融合多种技术与专业能力，共同构建现实世界中可扩展部署的关键路径。每一部分在复合人工智能的决策应用中都扮演着至关重要的角色。\u003C\u002Fp>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Wingdings","469769242":[9642],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"1\" data-aria-level=\"1\">\n\u003Cp>\u003Cstrong>模块化\u003C\u002Fstrong>：感知、规划、执行等各层均可以独立开发和优化。工程师能够专注于特定驾驶功能，从而实现更高效、灵活的开发和部署。\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Wingdings","469769242":[9642],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"2\" data-aria-level=\"1\">\n\u003Cp>\u003Cstrong>冗余\u003C\u002Fstrong>：为了确保在不可预测的环境中依然保持出色表现，Mobileye 集成了多感知模态（摄像头、雷达、激光雷达）、REM™智能路网信息、多样化AI方法及重叠算法层，可保障不确定环境下的性能。这些独立的路径相互强化，提升系统鲁棒性，不仅在常规驾驶条件下表现优异，也能应对边缘情况和复杂场景。\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cul>\n\u003Cli aria-setsize=\"-1\" data-leveltext=\"\" data-font=\"Wingdings\" data-listid=\"3\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Wingdings","469769242":[9642],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" data-aria-posinset=\"3\" data-aria-level=\"1\">\u003Cstrong>抽象化\u003C\u002Fstrong>：Mobileye 在关键环节融入结构化逻辑。RSS™模型开发了无需学习的核心安全原则，REM™则通过智能路网和驾驶智能层，增强实时感知能力。这些抽象层降低了系统的方差，同时保持系统的稳定性和可解释性。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Ch3>\u003Cstrong>软硬件协同\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye复合人工智能架构的内部设计体现了灵活性与效率之间的精妙平衡。Mobileye专为高等级驾驶自动化系统设计的EyeQ™6 High芯片，内置五个专用模块；每个模块都在灵活性与专用性之间实现了不同的平衡：双CPU（MPC和MIPS）提供灵活算力，XNN加速器实现高效目标性能；VMP与PMA加速器弥合灵活性与专用性之间的差距，使系统能够动态适配多元运行需求。\u003C\u002Fp>\n\u003Cp>EyeQ™6 High 芯片算力为34 TOPS (INT8)，但单纯的TOPS指标并不足以衡量其性能，实际应用场景和效率更为重要。在实际驾驶负载下，该芯片能够以超过每秒1000帧的速度处理像素标注神经网络，充分展示了智能架构在实际中的强大表现。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"335559738":240,"335559739":240}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9ab71dda0ddbbda9ba39001e815b5bf2_1753942887727.png\" alt=\"\" width=\"1200\" height=\"673\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>为道路而生\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>复合人工智能作为一种架构体系，也承载着我们持续构建以安全、效率与可扩展性为核心的解决方案的使命。它构成了从高级驾驶辅助系统（ADAS）到高等级驾驶自动化平台（如Mobileye Chauffeur™和Mobileye Drive™）的技术基础，这些平台支持视觉脱离乃至完全自动驾驶的出行方式。\u003C\u002Fp>\n\u003Cp>随着AI持续重塑出行，驾驶自动化的可行性已不是问题所在。行业焦点已转向如何使其具备可扩展性、安全性和现实可行性。一种基于实际性能、分层化、模块化且严谨的方法论 - 复合人工智能架构，就是Mobileye交出的答卷。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-07-31T07:00:00.000Z",[71],{"id":424,"type":14,"url":425,"title":426,"description":427,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":427,"image":428,"img_alt":429,"content":430,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":431,"tags":432},299,"presenting-the-mobileye-driver-monitoring-system-fusing-road-safety-inside-the-cabin","Mobileye 驾驶员监测系统（DMS）：将道路安全延伸至车内","Mobileye 推出DMS技术，实现人与车辆协同驾驶","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F90a2f202a7f27c08323d12e2c030cda5_1752662994017.jpg","图片右侧为AI生成内容","\u003Cp>多年来，驾驶员监测系统始终致力于应对道路安全中最重大的风险来源: 人为因素。但疲劳驾驶、分心驾驶和酒驾\u002F毒驾等每年仍会造成数百万起交通事故。随着车辆承担越来越多的驾驶任务，要实现规模化安全驾驶，不仅取决于车辆的“视野”，同时取决于驾驶员与系统之间的实时理解与互动。  \u003C\u002Fp>\n\u003Cp>为助力汽车制造商应对这些挑战，Mobileye 凭借其在人工智能计算机视觉和高级驾驶辅助系统（ADAS）领域的深厚积累，自主研发了驾驶员监测系统。通过将Mobileye DMS™驾驶员监测系统与Mobileye 高级驾驶辅助系统（ADAS）直接融合在单颗芯片上，我们为汽车制造商提供了一个高度集成的平台，可简化开发流程、降低系统成本，并轻松适配全球各车型项目。由此，驾驶员与车辆之间建立起直观的连接，从而实现更自然、更协同的驾驶体验。\u003C\u002Fp>\n\u003Cp>“通过不断开发新技术，解决客户所面临的挑战，我们已成为ADAS领域的全球领导者，”Mobileye 业务拓展执行副总裁Nimrod Nehushtan表示。“我们全新的Mobileye DMS™解决方案不仅解决了集成驾驶员监测系统（DMS）和高级驾驶辅助系统（ADAS）的商业难题，更提升了两系统间的协同效应，能够为驾驶员带来更优的驾驶体验。”\u003C\u002Fp>\n\u003Cp>与传统的独立解决方案不同，Mobileye DMS™可与车辆外部的感知系统协同工作。系统通过驾驶员的视线与车辆外部高级驾驶辅助系统摄像头捕捉的实时路况进行交叉比对，能够评估驾驶员是否注意到关键目标物或道路使用弱势群体（如行人、骑行者），从而据此调整系统响应设置，减少突兀干预。若驾驶员未察觉风险，系统则可及时触发警报，防患于未然。这种人与车辆间的无缝协作，能让驾驶员适时将注意力放在正确的位置。\u003C\u002Fp>\n\u003Ch3>车内与车外监测\u003C\u002Fh3>\n\u003Cp>Mobileye DMS™使用安装在驾驶位的红外摄像头，以每秒60帧的速度高频捕捉驾驶员眼部图像，随后借助我们由人工智能驱动的神经网络，分析驾驶员的眼球运动和眨眼频率，以高精度追踪驾驶员的视线方向及专注程度。系统经过训练，能够检测疲劳迹象（如打哈欠）、分心行为（如驾驶时使用手机）以及其他酒驾\u002F毒驾信号。\u003C\u002Fp>\n\u003Cp>Mobileye 的独特之处在于将车内监测与ADAS摄像头提供的实时道路信息相融合。通过将驾驶员视线模式与实际路况相关联，系统能够检测传统驾驶员监测系统可能遗漏的分心驾驶情况，例如驾驶员眼睛虽睁开但未扫视关键风险区域。这种情境感知能力不仅能识别打哈欠等基础体征，还能检测车内监控系统难以识别的复杂分心驾驶行为，从而增强了对酒驾\u002F毒驾状态的检测。\u003C\u002Fp>\n\u003Cp>全球法规正在快速推进，为满足安全法规，对驾驶员监测系统的要求也不断提高。例如，Euro NCAP 2026评分标准同时包含驾驶员参与度监测和乘员监测要求，而其他法规也要求配备驾驶员监测系统以确保合规。但目前市面上的驾驶员监测系统解决方案通常会增加整车系统的成本与集成的复杂度。\u003C\u002Fp>\n\u003Cp>对汽车制造商而言，Mobileye DMS™无需在技术架构中集成单独的处理器，因此可降低成本，并支持实现SoC\u002FECU整合目标。系统可基于Mobileye EyeQ™ 6 Lite或EyeQ™ 6 High芯片运行，并提供多种摄像头和感知选项，以满足特定需求。在Mobileye环绕式ADAS、Mobileye SuperVision™和Mobileye Chauffeur™等特定区域支持实现驾驶员运动脱离和\u002F或视觉脱离驾驶功能（在可用地区，并受产品规格、手册、设计运行范围（ODD）和法律约束）的高级平台上，驾驶员监测系统与高级驾驶辅助系统的融合能更精准地向驾驶员发出接管请求。系统在请求驾驶员介入时，会综合环境数据与驾驶员状态，以做出更明智的决策。 \u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye DMS™系统还可用于控制功能：能够基于驾驶员的实时专注程度动态调整车辆行为。若检测到驾驶员注意力下降，系统可自动增大跟车距离、调整巡航控制灵敏度或限制自动变道。若判定驾驶员注意力不足，系统可能要求驾驶员确认后执行变道，例如提醒驾驶员扫视侧后视镜。这些自适应响应可由汽车制造商进行微调，在驾驶员完全恢复专注前，帮助维持更安全的驾驶状态。 \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7d0209186824bdd3c62bef5d0433e7f0_1752663400244.jpg\" alt=\"\" width=\"600\" height=\"318\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>展望未来\u003C\u002Fh3>\n\u003Cp>未来，随着驾驶员运动脱离驾驶和高等级驾驶自动化解决方案的持续扩展，这些技术的重要性很可能进一步提升。在Mobileye 环绕式ADAS和Mobileye SuperVision\u003Cspan data-contrast=\"auto\">™\u003C\u002Fspan>等监督型系统以及我们的驾驶员运动脱离\u002F视觉脱离平台Mobileye Chauffeur\u003Cspan data-contrast=\"auto\">™\u003C\u002Fspan>上，将驾驶员状态与环境感知相融合，能够实现更智能的接管请求，确保驾驶员在必要时能随时准备接管控制。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">驾驶员监测系统对下一代安全和驾驶自动化至关重要。 Mobileye 的集成方案将车内感知与车外高级感知相结合，为汽车制造商简化了交付流程，并在驾驶员与驾驶环境之间建立起了协同认知体系，为规模化实现更安全、更智能的出行奠定了基础。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-07-15T07:00:00.000Z",[57,141,108],{"id":434,"type":14,"url":435,"title":436,"description":437,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":437,"image":438,"img_alt":439,"content":440,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":441,"tags":442},298,"where-mobility-meets-the-game-mobileye-partners-with-vfl-wolfsburg","智慧出行邂逅绿茵激情：Mobileye与德甲沃尔夫斯堡足球俱乐部达成战略合作","Mobileye 正式成为德国足球甲级联赛（Bundesliga）劲旅沃尔夫斯堡足球俱乐部的顶级合作伙伴。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3190dec398225b0d7744d1f29bcae4e6_1751278008967.png","沃尔夫斯堡足球俱乐部是一支独具特色的球队，始终秉持创新精神、前瞻视野与团队协作理念。","\u003Cp>打造卓越出行体验始终是Mobileye的使命核心。如今，我们首次将这份追求卓越的精神延伸至绿茵场，成为德甲劲旅沃尔夫斯堡俱乐部的顶级合作伙伴。\u003C\u002Fp>\n\u003Ch3>智慧出行与绿茵激情的完美碰撞\u003C\u002Fh3>\n\u003Cp>这项\u003Ca href=\"https:\u002F\u002Fwww.vfl-wolfsburg.de\u002Fen\u002Fnewsdetails\u002Fnews-detail\u002Fdetail\u002Fnews\u002Fautomotive-technology-meets-team-spirit-a-vision-for-the-future\">战略合作\u003C\u002Fa>对 Mobileye 意义重大，不仅关乎品牌本身，更体现了我们所坚持的理念。作为一家汽车科技公司，这次合作为我们在德国、欧洲乃至全球范围内进一步提升品牌影响力打开了新的机遇。\u003C\u002Fp>\n\u003Cp>沃尔夫斯堡足球队以创新、远见与团队精神著称，正是这些价值观，让这次的合作显得如此契合、自然。这不仅是两个领域的携手同行，更是一次共同塑造未来的旅程——发生在一个长期象征智慧出行与技术进步的国家与城市之中。\u003C\u002Fp>\n\u003Ch3>沃尔夫斯堡俱乐部与德甲联赛\u003C\u002Fh3>\n\u003Cp>沃尔夫斯堡足球俱乐部是德甲联赛的重要成员，而德甲是世界足坛最具影响力的联赛之一。该赛事不仅汇聚了众多国际知名球队，更涌现了无数闪耀足坛的传奇球星与当世巨星，因此，每逢周末，数以千万计的全球球迷都会将目光聚焦于德甲赛场。\u003C\u002Fp>\n\u003Cp>沃尔夫斯堡是德甲联赛的传统劲旅，曾在2009年问鼎德甲冠军，并于2015年捧起德国杯，是21世纪德国足坛最成功的俱乐部之一。俱乐部所在城市沃尔夫斯堡不仅是大众汽车集团总部所在地，更是德国汽车工业的重要象征。\u003C\u002Fp>\n\u003Ch3>品牌影响力跃升\u003C\u002Fh3>\n\u003Cp>随着 Mobileye 品牌正式走上绿茵赛场，我们将迎来前所未有的曝光机会。球衣品牌展示、场边广告横幅以及社交媒体传播，将全面提升 Mobileye 的品牌可见度。\u003C\u002Fp>\n\u003Cp>以下是球迷将在 2025\u002F2026 赛季看到 Mobileye 的一些重点展示场景：\u003C\u002Fp>\n\u003Cp>Mobileye 的logo将出现在沃尔夫斯堡队比赛球衣的左袖上，覆盖所有赛事，包括德甲、德国杯、国际赛事以及友谊赛。除了球衣展示，Mobileye 品牌还将在球场内外拥有强大的曝光版位，全面提升品牌可见度。\u003C\u002Fp>\n\u003Ch3>超越足球的战略意义\u003C\u002Fh3>\n\u003Cp>此次合作以建立深度联结为核心，是Mobileye深化产业布局的重要一步，展现了我们在各个领域追求卓越的坚定决心，旨在将Mobileye的创新故事传递给更多受众，共同见证科技创新与足球碰撞出的精彩火花。让我们期待新赛季的到来。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-06-30T07:00:00.000Z",[122,108],{"id":444,"type":142,"url":445,"title":446,"description":447,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":447,"image":448,"img_alt":449,"content":450,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":451,"tags":452},296,"mobileye-imaging-radar-chosen-by-global-automaker-for-eyes-off-driving","全球头部车企选用Mobileye成像雷达实现“驾驶员视觉脱离”驾驶","该技术突破促成了Mobileye与新客户的首个定点项目，将于2028年投产","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F220438c14cca71db62021f1e474931b8_1748429636893.png","彩色点状图模拟Mobileye独家成像雷达生成的密集且精确数据。","\u003Cp>耶路撒冷，2025年5月28日 - 经过对Mobileye技术与竞品系统长达数年的评估，一家全球头部车企首次选择Mobileye成像雷达（Mobileye Imaging Radar™）作为其即将推出的私家车驾驶员“视觉脱离”和“运动脱离”驾驶自动化系统的关键组件。该客户计划自2028年起使用Mobileye的成像雷达，实现高速公路速度下SAE（国际自动机工程师学会） L3级驾驶自动化，在雾、雨等对于当前传感器而言具有挑战性的条件下，以及在远距离行车中，提供对车辆、行人和物体的卓越探测能力。\u003C\u002Fp>\n\u003Cp>Mobileye的4D成像雷达自2018年开始研发，旨在通过其在挑战性光线、环境和交通场景中的卓越感知能力，提供传感器冗余，以经济的成本弥补摄像头感知的不足，进而打造安全且可扩展的驾驶自动化系统，实现从高度自动驾驶出租车到消费级高等级驾驶自动化汽车的全场景覆盖。\u003C\u002Fp>\n\u003Cp>“新客户选择我们的成像雷达，是对我们为开发这款雷达所做的突破性工作的充分肯定，”Mobileye总裁兼首席执行官Amnon Shashua教授表示。“在认识到这种传感模态对驾驶自动化的重要性后，我们打造了行业领先的成像雷达，能够满足高等级驾驶自动化系统所需的安全性和精确性。”\u003C\u002Fp>\n\u003Cp>现有的汽车雷达可检测障碍物距离、水平方位和动态速度变化。而成像雷达则增加了“高度”这一维度。\u003C\u002Fp>\n\u003Cp>基于突破性的架构，新一代Mobileye成像雷达通过Mobileye自主设计的雷达处理器，对所有信号进行端到端的全数字化处理。目标是在环境感知方面提供前所未有的精确度、细节和可靠性，进而巩固Mobileye驾驶自动化技术的领先地位。\u003C\u002Fp>\n\u003Cp>Mobileye成像雷达的核心是Mobileye自主设计的雷达射频集成电路（RFIC）。这些先进组件具有卓越的信号传输灵活性，能够在宽频带范围内接收并采样完整雷达信号，同时保持低噪声水平，旨在支持高置信度的目标探测。\u003C\u002Fp>\n\u003Cp>这些RFIC被嵌入到一个独特的架构中，所有雷达信号由一颗独家的专用处理器进行采样和数字处理。该处理器拥有高达11 TOPS的超强计算能力，能以每秒20帧的高帧率处理超过1500个虚拟通道。庞大的天线阵列还提供了小于0.5度的卓越角分辨率、低至-40 dBc的超低旁瓣电平，以及高达100分贝的行业领先动态范围（其他汽车雷达仅60分贝）。\u003C\u002Fp>\n\u003Cp>这种设计有助于Mobileye成像雷达在复杂场景中检测到远处的小目标，即使附近有卡车或公共汽车等大型车辆。同时，Mobileye成像雷达也能精确探测远处的小型危险物，例如护栏附近的轮胎，这对于在时速超过75英里（130公里）的高速公路场景中实现安全的驾驶自动化至关重要。该系统还能够探测距离达315米之外的道路使用者（行人、摩托车和自行车骑手），并可识别远达230米处的潜在危险。关键是，在传统雷达系统常常失效的场景，例如隧道、施工区以及其他复杂和杂乱的环境中，Mobileye成像雷达也表现出色。\u003C\u002Fp>\n\u003Cp>这款雷达的前向BSR（盲区4D成像雷达）版本提供全覆盖的感知能力，而用于车角安装的较小型的BSRC（4D成像角雷达）版本则拥有超过300个通道。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-05-28T07:00:00.000Z",[141,108,93,65],{"id":454,"type":14,"url":455,"title":456,"description":457,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":457,"image":458,"img_alt":459,"content":460,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":461,"tags":462},295,"a-new-balancing-act-for-automakers","车企的全新平衡之道","随着汽车日益由软件定义，车企正重新思考从产品路线图到核心定位等方方面面。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fda823c81d6e4b65ed464043cb532d556_1748340481466.jpg","目标是在不牺牲驾驶体验关键要素的前提下，采取务实的发展策略。","\u003Cp>汽车行业正快速引入更复杂的出行方案系统。传统车企的运营通常涵盖整车生产、深厚的机械工程积累、对多元供应商零部件的高效集成，以及复杂供应链网络的管理。但在过去五到七年间，整个行业已开始从机械时代迈向数字时代，传统车企正积极应对这一转变，拓展其作为软件公司的角色。 \u003C\u002Fp>\n\u003Cp>这一转变既带来挑战，也孕育机遇，关键在于怎么看待。这些挑战包括：车企如何转型为科技驱动的汽车制造商，如何在机械系统与数字能力之间找到平衡点，以及如何推动高等级驾驶自动化汽车的大规模普及。\u003C\u002Fp>\n\u003Ch3>汽车制造商的身份演变\u003C\u002Fh3>\n\u003Cp>消费者的购车决策越来越看重\u003Ca href=\"https:\u002F\u002Fwww.spglobal.com\u002Fautomotive-insights\u002Fen\u002Fblogs\u002F2024\u002F12\u002Frisks-and-rewards-of-automakers-on-software-defined-vehicles?utm_source=chatgpt.com\">软件\u003C\u002Fa>和驾驶自动化功能。因此，无论是通过内部自研还是战略合作，传统汽车领域的主要参与者正越来越多地涉足人工智能和大数据等先进技术。\u003C\u002Fp>\n\u003Cp>那些早期时未将自身定位为软件型企业的车企，正在规划全新的产品路线图。但如今，制定十年产品规划充满挑战，涉及诸多新问题：应该自研吗？未来的合作伙伴关系会是何种形态？哪些是关键组件？实施的复杂度有多高？无论如何，传统车企都必将经历转型，而最大的挑战在于：如何在学习过程中理解消费者最看重哪些功能，并据此为品牌做出全面的战略决策。 \u003C\u002Fp>\n\u003Ch3>平衡传统制造与软件开发\u003C\u002Fh3>\n\u003Cp>在软件行业，可能每一两年就会发生一次变化。然而，这并非汽车行业的常态。尽管汽车已成为新技术的落地前沿（且变革速度确实在加快），但必须认识到：汽车行业有其自身合理的发展节奏。\u003C\u002Fp>\n\u003Cp>这里涉及安全性、操控性和可靠性等重要考量因素，不是为技术而技术，而是要打造真正实用的系统，高效、安全、舒适地将人们从A点送达B点。目标在于采取平衡、渐进且务实的策略，在将新技术推向市场的同时，绝不牺牲安全性和可靠性，也不损害驾驶体验的其他核心要素。 \u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":276}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F0d59842888bd8ff01dbde2bb996da919_1748341765006.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>高等级驾驶自动化如何走向主流\u003C\u002Fh3>\n\u003Cp>放眼当下，高等级驾驶自动化汽车在全球行驶总里程中仍只占极小比例。但技术、商业模式和法规框架已日臻成熟，因此高等级驾驶自动化汽车的大规模普及指日可待。\u003C\u002Fp>\n\u003Cp>近年来，业界更广泛地认识到，真正安全且可扩展的驾驶自动化，不能靠追逐短期热点，而需持之以恒地投入工程创新与软件创新。唯有如此，面向大众市场的驾驶自动化才能真正为消费者和车企创造价值。\u003C\u002Fp>\n\u003Ch3>赢得消费者接纳\u003C\u002Fh3>\n\u003Cp>尽管包括技术专家、供应商、制造商和监管机构在内的幕后力量正在共同努力，全力推动驾驶自动化走向主流，但只有当大量消费者能够真正接受人类无需主动去驾驶的理念时，这场变革才算真正完成。\u003C\u002Fp>\n\u003Cp>随着高速公路上的L2+级（需注视\u002F驾驶员运动脱离）辅助驾驶和L3级（需注视\u002F驾驶员运动脱离）有条件自动驾驶日益普及，一种人机协同的驾驶思维模式正在形成。这种转变在特定区域已提供商业化完全自动驾驶服务的企业和L4级出租\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Flyft-and-mobileye-team-up-to-enable-autonomous-mobility-at-scale\u002F\">车队\u003C\u002Fa>中同样显而易见。\u003C\u002Fp>\n\u003Ch3>量产产品，而非原型概念\u003C\u002Fh3>\n\u003Cp>得益于多年经验积累，Mobileye在为下一代高级驾驶辅助系统（ADAS）和高等级驾驶自动化汽车开发高性能软件方面拥有深厚专长。依托与头部车企的紧密合作，我们深知如何交付性能可靠、设计精良的先进技术。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-05-27T07:00:00.000Z",[71,57,108],{"id":464,"type":14,"url":465,"title":466,"description":467,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":467,"image":468,"img_alt":469,"content":470,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":471,"tags":472},294,"the-fast-lane-to-higher-levels-of-autonomy-with-the-eyeq6-soc","EyeQ™6系统集成芯片：通往更高等级驾驶自动化的快车道","作为最新一代系统集成芯片（SoC）解决方案，Mobileye EyeQ™6 系列可助力车企高效规划产品路线，加速产品上市进程。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F4cf0a8a6c1d2c1369d282109b1a4975e_1744873267353.jpg","该系列专为满足车企多样化需求打造，覆盖从常规标准车型到高端豪华车型的全产品矩阵。","\u003Cp>全新Mobileye EyeQ™6SoC不仅突破性能极限，更为车企提供定制高级驾驶辅助系统（ADAS）与高等级驾驶自动化技术的基础架构，同时精准对接从科技发烧友到普通用户的全场景消费级高度自动驾驶汽车市场需求。\u003C\u002Fp>\n\u003Cp>本文将解析EyeQ™6的新增功能，并揭秘其技术架构如何助力车企在ADAS与高度自动驾驶领域实现无缝升级。\u003C\u002Fp>\n\u003Ch3>EyeQ™6 全景解析\u003C\u002Fh3>\n\u003Cp>作为Mobileye最新技术体系的核心，EyeQ™6 SoC系列可满足从单个前视摄像头到多传感器的所有ADAS需求。\u003C\u002Fp>\n\u003Cp>其中，EyeQ™6 Lite (EyeQ™6L) 是一款低功耗芯片，可扩展入门级ADAS功能；EyeQ™6H是EyeQ™6L的进阶版本，在特定运行设计区间可支持高阶ADAS、有条件自动驾驶及完全自动驾驶方案（如Mobileye SuperVision™和Mobileye Chauffeur™\u002FMobileye Drive™）。车企可借助这一独特系统，采用模块化设计，根据目标用户灵活定制功能组合。  \u003C\u002Fp>\n\u003Ch3>技术架构探秘 \u003C\u002Fh3>\n\u003Cp>EyeQ™6系统集成芯片架构的核心竞争力源自其独特的软硬件协同设计。该系列芯片结合多核处理器、加速器与复合人工智能架构，可实现卓越能效。独创的XNN人工智能模型，支持复杂\u002F简易任务并行处理。\u003C\u002Fp>\n\u003Cp>该系列芯片还可分配合理负载、提升深度学习能力和优化数据流，进而带来综合性能的跃升。事实上，其深度学习性能较前两代SoC提升10倍，CPU性能提升1.1-1.9倍。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F91487f605322ce4c99830c4d950995e0_1744873738525.png\" alt=\"\" width=\"1200\" height=\"668\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>前瞻性设计，全产线赋能  \u003C\u002Fh3>\n\u003Cp>从常规标准车型到高端豪华车型，EyeQ™6系列全面适配多样化车型配置。更关键的是，车企可在保留核心ADAS安全功能的基础上，实现更高等级驾驶自动化或功能升级，无需重复认证和验证流程。这一设计为车企及供应商开辟了基于现有基础设施的升级路径，既能实现更高等级驾驶自动化，又可确保长期可行性，同时从高成本效益中获益。 \u003C\u002Fp>\n\u003Ch3>借助EyeQ™6L 拓展基础ADAS能力  \u003C\u002Fh3>\n\u003Cp>作为高性价比的面向大众市场的ADAS解决方案，EyeQ™6L提供专为前视摄像头传感器量身定制的优化架构，同时可选配雷达。车企可灵活选装独立功能模块，实现成本与性能的平衡。\u003C\u002Fp>\n\u003Cp>基于同款SoC稍作升级，车企即可集成乘员监控系统（OMS）与驾驶员监控系统（DMS）。此外，车企可灵活选择摄像头配置：既可选择高性价比的200万像素方案，也可选择适配高等级驾驶功能的800万像素方案（支持车道、交通标识、道路标线、施工区域及交通信号灯的色彩增强检测）。\u003C\u002Fp>\n\u003Cp>简而言之，车企可在基础ADAS框架内灵活调整，并依托同款SoC内置功能实现功能升级。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc2479642c97081cf05d556a0562fcfa9_1744873835527.jpg\" alt=\"\" width=\"1200\" height=\"670\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>从“辅助驾驶”逐步迈向“完全自动驾驶”\u003C\u002Fh3>\n\u003Cp>EyeQ™6H SoC引领驾驶自动化技术，实现了两个方面的重大飞跃：一方面是无缝实现向完全自动驾驶的升级，另一方面是确保新增功能之间产生更大协同效应。通过将安全关键功能与泊车应用、可视化等电子控制单元（ECU）整合至单颗系统集成芯片，构建集中化互联系统。\u003C\u002Fp>\n\u003Cp>这种设计赋予车企高度自由的组件选择空间，满足其对灵活性、集中化架构、快速上市及新盈利模式的追求。而EyeQ™6H正是这场变革的基石。\u003C\u002Fp>\n\u003Cp>在驾驶自动化方面，这一架构将推动整个行业进一步发展，更加注重软件定义。车企可在延续核心ADAS安全功能的同时，向更高阶辅助驾驶系统过渡。车企可从单颗EyeQ™6H驱动的“Mobileye环绕式ADAS™”方案起步，逐步升级至双EyeQ™6H SoC赋能的Mobileye SuperVision™（实现多数道路点对点驾驶员运动脱离驾驶），最终扩展至Mobileye Chauffeur™或Mobileye Drive™（分别解锁面向消费级市场和商用场景的驾驶员运动脱离驾驶及视觉脱离驾驶能力）。这有助于车企构建可持续扩展的驾驶自动化蓝图，专注于持续迭代。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F672c2922e4c5e0a8e25091f84d4bdf42_1745409779795.jpg\" alt=\"\" width=\"1200\" height=\"670\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>OTA赋能全生命周期升级 \u003C\u002Fh3>\n\u003Cp>EyeQ™6的关键特性在于通过智能设计实现的长期可用性。但真正将性能提升至新维度的是其在线升级（OTA）能力。OTA更新对现代车辆至关重要，特别是在软件定义汽车兴起的当下。OTA更新有利于车辆软件持续改进并保持系统最新状态，所有增强功能均通过远程无缝交付实现，无需人工干预。\u003C\u002Fp>\n\u003Cp>Mobileye将该功能深度集成至系统中，确保车辆在无需硬件升级的情况下持续适应未来需求。\u003C\u002Fp>\n\u003Ch3>加速驾驶自动化，守护驾乘舒适性 \u003C\u002Fh3>\n\u003Cp>随着出行新时代的到来，加之车辆向软件定义化转型，支撑这一转型的技术必须具备可扩展性、灵活性、高性能及持续增强能力。\u003C\u002Fp>\n\u003Cp>Mobileye深谙灵活性与可扩展性的价值，致力于提供定制化SoC解决方案，满足车企的软硬件需求。对于希望快速拓展市场的车企而言，在架构层面确保灵活性和可扩展性至关重要。\u003C\u002Fp>\n\u003Cp>Mobileye的第六代SoC能够满足多元化车企及其用户的需求，打造全方位解决方案，让所有人都能够享受全新驾驶体验，拥抱全维度驾驶自动化技术。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>","2025-04-17T07:00:00.000Z",[65,57],{"id":474,"type":14,"url":475,"title":476,"description":477,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":477,"image":478,"img_alt":479,"content":480,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":481,"tags":482},291,"how-surround-adas-delivers-the-new-standard-of-safety-and-tech","中阶驾驶辅助系统——Mobileye环绕式ADAS方案重磅发布：树立安全与技术的新标杆","Mobileye环绕式ADAS方案开辟全新赛道，攻克高级驾驶辅助技术发展痛点","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F568d780921661f2b09c78783f39caeda_1741266123244.jpg","环绕式ADAS使车企能够以低成本将高阶功能普及至百万辆级规模的量产车型。","\u003Cp>当下，车企在选择驾驶辅助系统时通常有两个选择：要么选择基础ADAS，其功能常规但成本可控，适配大众市场；要么选择搭载多摄像头、雷达、处理器及电子控制单元的高等级智驾系统，支持特定道路的“驾驶员运动脱离”驾驶等功能，但其成本高企，仅应用于高端车型。\u003C\u002Fp>\n\u003Cp>Mobileye环绕式ADAS方案的重磅发布改变了这一局面。该系统基于Mobileye面向高等级驾驶自动化技术研发的先进软件堆栈，通过单颗EyeQ™6 High系统集成芯片（SoC）实现软硬件垂直整合，打造“驾驶员运动脱离\u002F需注视”的软件定义驾驶方案。\u003C\u002Fp>\n\u003Cp>\u003Cvideo autoplay=\"autoplay\" loop=\"loop\" muted=\"\" width=\"100%\" height=\"100%\">\u003Csource src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fme_surround_video3.mp4\" type=\"video\u002Fmp4\" \u002F>\u003C\u002Fvideo>\u003C\u002Fp>\n\u003Cp>借助AI领域的最新突破，该系统通过单个电子控制单元（ECU）即可处理多达11个传感器（包含多个摄像头与雷达），并集成了计算机视觉、传感器融合、智能路网技术、驾驶策略及OTA升级功能。\u003C\u002Fp>\n\u003Cp>最终成效如何？这套突破性的ADAS系统不仅能够提供基础的安全功能，还能够在多种路况下实现“驾驶员运动脱离”驾驶和智能泊车等高端驾乘体验，既满足消费者对高速驾驶自动化日益增长的期待，又契合即将出台的严苛安全法规。另外，环绕式ADAS还降低了系统成本，使车企能够将功能普及至百万辆级规模的主流量产车型。首批搭载环绕式ADAS方案的车型预计在未来几年内上路。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd6b2ddb9d8518cfe8d1bda9b4d6e6c92_1742729414757.jpg\" alt=\"An end-to-end AI network on EyeQ6H integrates all camera inputs to create 360-degree perception, automatically producing a top-view model of the environment.\" width=\"1200\" height=\"1200\" \u002F> EyeQ6H 上的端到端人工智能网络整合了所有摄像头的输入，以实现 360 度感知，自动生成环境的鸟瞰图模型。\u003C\u002Fh6>\n\u003Cp>环绕式ADAS方案的核心在于Mobileye依托先进人工智能技术实现的软件创新。其中，复合人工智能系统将端到端感知软件与其他关键技术突破深度融合，可将原始传感器数据转化为精准、可执行的洞察。\u003C\u002Fp>\n\u003Cp>凭借在高等级驾驶自动化汽车解决方案开发及SuperVision\u003Csup>TM \u003C\u002Fsup>“驾驶员运动脱离”的点到点驾驶系统领域的经验，Mobileye通过整合核心软件堆栈和智能路网数据，可持续进行新功能的OTA升级，提升常规ADAS功能的智能化水平。这套软件定义方案支持的关键功能包括：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>高速公路及特定道路上“驾驶员运动脱离\u002F需注视”驾驶（最高时速可达130公里）\u003C\u002Fli>\n\u003Cli>全向防碰撞\u003C\u002Fli>\n\u003Cli>车道辅助系统\u003C\u002Fli>\n\u003Cli>低速加速控制\u003C\u002Fli>\n\u003Cli>自动变道\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fccbb2d14a6d7b64c554168b80ef658ba_1742729977672.jpg\" alt=\"\" width=\"1200\" height=\"565\" \u002F>\u003C\u002Fp>\n\u003Cp>这种软件优先的架构赋予车企全新的应用可能。例如，“驾驶员运动脱离”驾驶功能通过Mobileye的驾驶体验平台（DXP）在安全参数范围内进行优化调校。泊车功能与驾驶员监测系统等软件可整合于单个ECU中，深度协同车企需求以支持其功能开发。同时，车载显示屏能充分利用系统生成的海量数据流，通过创新且智能的整合方式向驾驶员传递信息。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F6213e68aa2bf8f06997c1719eafad4a2_1742729546827.jpg\" alt=\"\" width=\"1200\" height=\"521\" \u002F>\u003C\u002Fp>\n\u003Cp>环绕式ADAS方案的标准配置包含：1个长距前视摄像头、4个短距泊车摄像头，以及多达5个雷达，可选配长距后视摄像头等额外传感器。\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fnews\u002Fvolkswagen-group-cooperates-with-valeo-and-mobileye-to-enhance-driver-assistance-in-future-mqb-vehicles\u002F\">2025年3月Mobileye宣布\u003C\u002Fa>环绕式ADAS首个订单，将应用于大众汽车量产车型。\u003C\u002Fp>\n\u003Cp>虽然环绕式ADAS方案支持高速公路及特定道路上的“驾驶员运动脱离”驾驶及先进防碰撞功能，但其与具备点到点领航能力，包括城区路段领航功能（在设计运行范围内）的SuperVision™系统有所不同。SuperVision™仍是Mobileye的高阶“驾驶员运动脱离\u002F需注视”驾驶辅助解决方案，专为寻求渐进式“驾驶员视觉脱离”的有条件自动驾驶发展路径的车企设计。如今，Mobileye 环绕式ADAS为车企提供基于EyeQ6H芯片的完整解决方案矩阵，覆盖高端与大众市场，可全面提升其主动安全与自动化水平。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe5edcfae3344c2bb3add59cd52327adf_1742731580947.jpg\" alt=\"\" \u002F>\u003C\u002Fp>\n\u003Ch3>为何市场需要环绕式ADAS\u003C\u002Fh3>\n\u003Cp>除了技术进步外，环绕式ADAS方案的问世也直击多个行业发展痛点，尤其是复杂分散的供应链导致的高昂系统成本。随着车企向精简的软件定义架构转型，降低硬件复杂度至关重要。而Mobileye 环绕式ADAS依托单个ECU结构、便捷的集成方式及顶尖的系统性能，精准地回应了这一需求。\u003C\u002Fp>\n\u003Cp>车辆安全需求的提升同样推动了环绕式ADAS的问世。消费者期待将全面的安全功能作为标配；在交通拥堵与驾驶分神的情况不断加剧的背景下，监管机构正在推行更严苛的道路安全法规。例如在欧洲，想要获得新版EuroNCAP五星评级的车企需升级环视感知系统，因为在危急情况下，侧视与广角摄像头能够显著提升对车辆、行人及骑行者的保护。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F008f8de3497d2621bf3d48acf110bcbb_1742729931754.jpg\" alt=\"\" \u002F>\u003C\u002Fp>\n\u003Cp>归根结底，环绕式ADAS方案始终以用户需求为核心。消费者渴望高端车型搭载的”驾驶员运动脱离”驾驶体验能普及至更大众的市场。特定道路以及路况下的“驾驶员运动脱离”驾驶正在成为增速最快的驾驶自动化层级。预计到2030年，四分之一的新车将搭载此类功能。\u003C\u002Fp>\n\u003Cp>对车企而言，环绕式ADAS方案的意义远超技术革新，它标志着汽车产业的多重变革，汇聚成ADAS功能的新篇章。这更是一次机遇，有望以前所未有的规模将当下高端车型的舒适驾乘体验普惠至更广阔的道路场景。借助Mobileye 环绕式ADAS，车企将能够满足现代驾驶员对驾驶安全性与便利性的双重期待。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-03-25T07:00:00.000Z",[108,57],{"id":484,"type":142,"url":485,"title":486,"description":487,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":487,"image":488,"img_alt":489,"content":490,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":481,"tags":491},292,"volkswagen-group-cooperates-with-valeo-and-mobileye-to-enhance-driver-assistance-in-future-mqb-vehicles","大众汽车集团与法雷奥和 Mobileye合作，为未来横置发动机车型强化驾驶辅助功能","此次合作旨在为大众汽车集团基于横置发动机模块化平台（MQB）的未来车型提升安全性和驾驶舒适性。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fff712ffe72a631b1f803a960b66169c5_1742828482708.jpg","大众汽车集团与法雷奥和 Mobileye合作，强化驾驶辅助功能","\u003Cp>中国上海，2025年3月25日 —— 大众汽车集团已携手法雷奥和 Mobileye，计划为其未来的横置发动机（MQB） 车型带来L2+级高级驾驶辅助系统升级体验。今后几年内，这一合作将致力于提升面向大众市场量产车型的安全性和驾驶舒适性，在契合客户期望的同时满足安全法规要求。\u003C\u002Fp>\n\u003Cp>负责采购事务的大众汽车品牌管理委员会成员兼大众汽车股份公司扩展执行委员会成员 Dirk Große-Loheide 表示：“此次合作为我们的转型之路提供了有力支持。通过软硬件一体化外采，我们得以优化采购流程，降低复杂度并提高效率。同时，技术实力的提升和成本竞争力的同步保持也将推动公司高性能计划的落实，确保我们始终为客户提供高品质的解决方案。”\u003C\u002Fp>\n\u003Cp>除了在获批高速公路路段的特定条件下支持“驾驶员运动脱离”驾驶外，该系统还将提供交通拥堵辅助、危险检测、泊车辅助、驾驶员监控和 360 度紧急辅助等功能，并支持增强现实显示屏等未来创新功能。\u003C\u002Fp>\n\u003Cp>通过此次合作，大众汽车集团不仅推动了汽车安全性和自动化水平的提升，同时确保高效率开发进程，旨在为客户提供高性价比的解决方案。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>进阶版驾驶辅助系统\u003C\u002Fstrong>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>该新系统采用 360 度环绕式多摄像头和雷达配置，同时依托软件定义功能，可在获批路段实现”驾驶员运动脱离”驾驶、智能泊车，并提高车内人员和路上行人的安全。\u003C\u002Fp>\n\u003Cp>系统汇集了法雷奥的高性能 电子控制单元（ECU）、传感器和泊车解决方案，以及Mobileye 的\u003Ca href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fhow-surround-adas-delivers-the-new-standard-of-safety-and-tech\u002F\" target=\"_blank\" rel=\"noopener\">环绕式ADAS平台\u003C\u002Fa>，包括 EyeQ™6 High处理器和路网智能技术。这是业界首次在一个系统中集上述元素于一体，以单一集中式ECU取代多ECU，不仅能够实现效率和性能的增强，还可通过OTA升级来满足日益严苛的安全标准。\u003C\u002Fp>\n\u003Cp>法雷奥智能系统事业部首席执行官Marc Vrecko表示：“法雷奥一直致力于推进驾驶辅助技术的创新。如今，我们很高兴与Mobileye携手，为大众集团提供先进且经济高效的整套高级驾驶辅助解决方案，惠及广大车主。”\u003C\u002Fp>\n\u003Cp>Mobileye创始人、总裁兼首席执行官Amnon Shashua 教授表示：“与法雷奥和大众集团合作打造的软硬件一体化集成方案让AI创新真正应用到了现实世界中。该系统在提升驾驶辅助系统的安全性和舒适性的同时，能够兼顾效率和成本的优化，而这正是未来驾驶技术的创新方向。”\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>",[57,141,108,93,86],{"id":493,"type":14,"url":494,"title":495,"description":496,"primary_tag":59,"author_name":18,"is_hidden":47,"lang":173,"meta_description":496,"image":497,"img_alt":498,"content":499,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":500,"tags":501},289,"modularity-from-adas-to-av","Mobileye全新ECU系列：模块化架构，驱动ADAS到AV演进","该系列人工智能解决方案搭载Mobileye迄今为止最强大的芯片，提供覆盖辅助驾驶到高等级驾驶自动化汽车全域的模块化设计","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F97ee57a9843cd0c7ddfc4330047605f9_1740469437784.jpg","Mobileye全新ECU系列的核心是一块共享主板，配备双EyeQ6H芯片和一颗集成式MCU。","\u003Cp>自问世以来，Mobileye EyeQ™芯片就作为Mobileye高级驾驶辅助系统（ADAS）的算力基石，持续助力道路安全。秉承以视觉为核心的设计理念，该芯片可实现自动紧急制动、车道保持等挽救生命的技术功能。随着Mobileye EyeQ™芯片的全球装机量超过2亿颗、辅助驾驶与高等级驾驶自动化汽车平台间的模块化互通性进一步提高，我们正逐步将完全自动驾驶的未来愿景变为现实。\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"Mobileye ECU\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1060382068?h=599b761860&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>如今，我们依托Mobileye在技术创新、安全设计和系统扩展性方面的领先优势，积极推动未来愿景转化为现实应用，正在将这一创新推向新高度。Mobileye全新电子控制单元（ECU）系列专为未来扩展而生，提供三款产品配置，可以支持不同的驾驶自动化等级。三大平台均搭载最新一代Mobileye EyeQ™6H系统集成芯片（SoC），可助力汽车制造商在高等级驾驶自动化旅程中高效进阶，在为驾驶员提供安全性与舒适性的同时，降低开发与验证风险。\u003C\u002Fp>\n\u003Ch3>ECU的内核：具备卓越优势的EyeQ芯片\u003C\u002Fh3>\n\u003Cp>就打造可扩展的模块化高级驾驶平台而言，其核心挑战在于平衡SoC的灵活性与效率。Mobileye EyeQ6H采用我们最先进SoC的独特架构，旨在最大限度减少这种权衡。通过融合固定功能与通用处理能力，EyeQ6H可加速并行计算功能，包括执行要求严苛的AI深度学习任务，以及处理环视摄像头每秒捕获的超1,000帧画面。\u003C\u002Fp>\n\u003Cp>之后，我们将EyeQ6H集成到Mobileye自主研发的主板上。这种深度整合使我们能灵活满足车企需求，打造更顺畅的系统集成流程，并更好地适应车企未来的产品规划需求。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd4a8c7bdccdc1a58e536dc266b1556e9_1740469761906.jpg\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Ch3>一块主板赋能产品规划\u003C\u002Fh3>\n\u003Cp>这块共享主板是我们全新ECU系列的核心组件，配备双EyeQ6H芯片和一颗集成式MCU。这种紧凑而强大的架构为汽车制造商奠定了研发高等级驾驶自动化汽车解决方案的基础，仅需根据车辆未来的软硬件设计进行局部调整即可实现升级。\u003C\u002Fp>\n\u003Cp>全新ECU系列的基础配置为我们的“驾驶员运动脱离\u002F需注视”平台Mobileye SuperVision™。该平台采用11个摄像头，可选装雷达，并可执行最高130公里\u002F小时的领航辅助驾驶（需在可用区域，根据具体配置、操作手册、设计运行范围及相关法规要求并在驾驶员持续监督下使用）等特定驾驶动作，显著提升驾乘体验。这款人工智能系统仅重2.3公斤左右，体积与麦片盒相仿，内置高级泊车功能，耐久性设计可确保系统可靠性。\u003C\u002Fp>\n\u003Ch3>进阶“驾驶员视觉脱离”功能\u003C\u002Fh3>\n\u003Cp>我们在保留SuperVision™ ECU大部分设计的基础上增加副板，推出了面向消费级汽车的Mobileye Chauffeur™“驾驶员运动脱离\u002F驾驶员视觉脱离”驾驶平台（需在可用区域，根据具体配置、操作手册、设计运行范围及相关法规要求使用）。副板额外集成一颗EyeQ6H芯片，既可扩展功能，又可构建软硬件冗余系统。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F23c7d34b85eb407e222a5796f4c8fe75_1740469856076.jpg\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Cp>除摄像头感知层外，Mobileye Chauffeur™还引入由雷达和激光雷达传感器组成的感知网络，通过多传感器融合感知，实现在设计运行范围（ODD）内的“驾驶员视觉脱离”驾驶，在驾驶员需保持警觉并随时准备接管的同时，使车辆能自主应对路况。\u003C\u002Fp>\n\u003Cp>双板架构通过冗余设计提供额外的安全层，使系统可在必要时执行最小风险策略，并在发生故障时安全实现靠边停车。\u003C\u002Fp>\n\u003Ch3>迈向无人驾驶\u003C\u002Fh3>\n\u003Cp>Mobileye Drive™在主板基础上进一步扩展，车内甚至无需驾驶员。该平台专为出行即服务（MaaS）设计，主副板共搭载四颗Mobileye EyeQ6H芯片，采用13个摄像头，以及多个成像雷达及激光雷达。\u003C\u002Fp>\n\u003Cp>尽管Mobileye Drive™的设计初衷是面向出行服务提供商，而SuperVision™和Chauffeur™则主要服务于消费级车辆，但比较三款ECU时，可清晰发现其软硬件架构基本相同。三款系统在设计之初便充分考虑了模块化与可扩展性，采用相似的外形设计、接口标准、连接协议及统一的软件核心，使车企能够提前规划产品路线，并在不同平台间高效切换。\u003C\u002Fp>\n\u003Cp>全新ECU系列将Mobileye的愿景进一步变为现实，可为高等级驾驶自动化汽车发展的众多阶段提供量身定制的可扩展平台，进而助力汽车制造商打造更安全、更智能、适应性更强的汽车，在从“驾驶员运动脱离”驾驶到“驾驶员视觉脱离”驾驶，直至完全无人驾驶的演进过程中，实现性能与量产效率的完美平衡。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-02-27T08:00:00.000Z",[71,65,78,128],{"id":503,"type":14,"url":504,"title":505,"description":506,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":506,"image":507,"img_alt":508,"content":509,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":510,"tags":511},287,"mobileyes-ces-2025-showing","Mobileye在CES 2025的亮点回顾","Mobileye在拉斯维加斯展示的最新技术引得众人驻足","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe8f3cdb7e19232218e35664f2bec3a8c_1737633952001.jpg","Mobileye在CES 2025的精彩表现！","\u003Cp> 尽管CES 2025已圆满落幕，但我们的CES之旅仍令人回味无穷。得益于深入浅出的演讲、引人入胜的展台展示以及关于交通出行和高等级驾驶自动化汽车未来的精彩讨论，Mobileye的出行解决方案在为期四天的展会中无疑成为了焦点。\u003C\u002Fp>\n\u003Cp>我们展出了搭载Mobileye Drive™的两款车型——大众ID Buzz和Holon Mover，以及由多层有机玻璃打造的3D汽车外形互动产品方案，吸引了大量观众驻足观看。与此同时，Mobileye的高管们参与了多场圆桌讨论，分享了对汽车行业关键议题的独到见解。\u003C\u002Fp>\n\u003Cp>欣赏Mobileye在CES 2025的精彩时刻！\u003Cbr \u002F>\u003Ciframe title=\"Mobileye at CES 2025: Highlights\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1047443316?h=904d935a52&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>Now. Next. Beyond.  \u003C\u002Fh3>\n\u003Cp> Mobileye总裁兼首席执行官Amnon Shashua教授在其一年一度的CES主题演讲“Mobileye: Now. Next. Beyond.”中，分享了他对高等级驾驶自动化行业未来的愿景，探讨了高等级驾驶自动化汽车如何从Demo阶段迅速迈向现实生活的实际应用。\u003Cbr \u002F>\u003Ciframe title=\"Mobileye: Now. Next. Beyond CES 2025 Press Conference with Prof. Amnon Shashua\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1047296511?h=a4dba090ba&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe> \u003C\u002Fp>\n\u003Ch3>引擎盖下的秘密 \u003C\u002Fh3>\n\u003Cp>在我们展台上，高耸的时尚几何结构展示了Mobileye的最新产品，吸引了无数参观者前来了解我们的技术。展台内，除了展示最新的电子控制单元（ECU）套件外，还展示了Mobileye令人印象深刻的成像雷达及其他先进技术。\u003Cbr \u002F>\u003Ciframe title=\"Mobileye at CES 2025 Booth Walkthrough\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1047295510?h=b1bfab4cd2&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe> \u003C\u002Fp>\n\u003Ch3>Mobileye 主舞台\u003C\u002Fh3>\n\u003Cp>“安全”是Mobileye展台演示的核心主题。关于冗余、人工智能驱动的平台，与多方协作的讨论都涉及了提高平均故障间隔时间（MTBF）对安全出行的重要性。\u003C\u002Fp>\n\u003Cp>我们回顾了Mobileye从驾驶辅助系统到完全自动驾驶出租车的演变，探讨了人工智能驱动的高等级驾驶自动化技术路线，并阐释了在我们的系统中如何利用冗余机制提升可靠性。此外，Mobileye执行副总裁Johann (JJ) Jungwirth、大众汽车ADMT高级副总裁Sebastian Lasek和MOIA首席执行官Sascha Meyer还在展台主舞台进行了一场主题为“开启全球高等级驾驶自动化出行”的圆桌讨论。三位高管深入交流了Mobileye与大众汽车集团在无人驾驶服务和大众汽车ID Buzz AD方面的紧密合作，探讨了在不同地区实施项目时所采用的软硬件技术，以及对未来出行蓝图的共同愿景。\u003Cbr \u002F>\u003Ciframe title=\"Unlocking Autonomous Mobility Globally with Volkswagen, MOIA and Mobileye\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1047297083?h=60431b5f7a&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>高管活动 \u003C\u002Fh3>\n\u003Cp>Mobileye首席技术官Shai Shalev-Shwartz教授参加了一场关于高等级驾驶自动化汽车技术现状的圆桌讨论。在展望高等级驾驶自动化技术的现状和未来时，Shalev-Shwartz教授表示，未来几年内，私家车搭载的“驾驶员视觉脱离”驾驶系统，以及完全自动驾驶出租车服务成本的降低，极有可能改变我们目前对出行的看法。他认为“这是一个具有革命意义的时刻，创新产品将改变人们对通勤的认知”。\u003Cbr \u002F>\u003Ciframe title=\"CTA & PAVE Autonomous Vehicle Roundtable at CES 2025\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1047299158?h=32a75cd4b6&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe>\u003Cbr \u002F>Mobileye高等级驾驶自动化业务执行副总裁Johann (JJ) Jungwirth与行业领袖共同探讨了高等级驾驶自动化汽车融入社区、赢得消费者信任以及利用人工智能提升高等级驾驶自动化技术等话题。\u003Cbr \u002F>\u003Ciframe title=\"JJ at Autonomous Vehicles - The Future is Finally Here Panel (CES 2025)\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1049234229?h=ed2b30df34&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>展会互动\u003C\u002Fh3>\n\u003Cp>我们十分高兴与同样对未来出行充满热情的志同道合者们交流。\u003Cbr \u002F>\u003Ciframe title=\"Man On The Street at CES 2025\" src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F1051080523?h=a875a35f16&badge=0&autopause=0&player_id=0&app_id=58479\" width=\"600\" height=\"338\" frameborder=\"0\">\u003C\u002Fiframe>\u003C\u002Fp>","2025-01-23T08:00:00.000Z",[108,141,50,65,128],{"id":513,"type":14,"url":514,"title":515,"description":516,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":516,"image":517,"img_alt":518,"content":519,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":520,"tags":521},286,"policy-meets-innovation-how-aeb-is-driving-safer-roads","自动紧急制动：政策与创新融合","探讨自动紧急制动技术和政策的演变如何重塑道路安全，并推动为驾驶员和行人创造更安全的出行未来。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa3e2aef29983db88c76f4b12b31a733f_1736423779190.jpg","美国国家公路交通安全管理局（NHTSA）已正式发布新的《联邦机动车安全标准》。","\u003Cp>随着道路安全日益成为重中之重，认为交通事故不可避免的时代即将结束。而引领这一变革的正是自动紧急制动（AEB）技术。自2029年9月起，美国所有新生产的乘用车和轻型卡车将强制配备这项技术。\u003C\u002Fp>\n\u003Cp>但要真正迈向事故更少的未来，仅靠政策推动远远不够，技术创新才是核心驱动力。在本推文中，我们将探讨为何自动紧急制动技术能够重新定义道路安全，以及如何实现这项挽救生命的创新。\u003C\u002Fp>\n\u003Ch3>自动紧急制动在当下为何至关重要\u003C\u002Fh3>\n\u003Cp>2022年，美国行人死亡率创下40年新高，这一触目惊心的数据（参见美国高速公路安全协会（Governors Highway Safety Association）报告《新预测：美国行人死亡人数达40年峰值》）再次强调了消除道路风险的重要性。导致这一现象的成因十分复杂：交通流量增加、车辆尺寸普遍增大（SUV和皮卡占比上升）、智能手机分散驾驶注意力等。事实上，一项涉及300万名驾驶员的调查显示，近90%驾驶员承认曾在驾驶过程中使用智能手机。\u003C\u002Fp>\n\u003Cp>为遏制行人相关事故的上升趋势，美国国家公路交通安全管理局（NHTSA）正式出台了一项全新的《联邦机动车安全标准》（FMVSS 127）。该法规规定，2029年9月后注册的所有乘用车和轻型卡车必须配备自动紧急制动（AEB）系统，且必须包含行人专用自动紧急制动系统。欧洲《通用安全法规》等政策通常会设置一定的宽限期以便过渡，而美国国家公路交通安全管理局则直接明确了合规截止日期，以敦促汽车制造商提前制定相应的计划。 \u003C\u002Fp>\n\u003Cp>美国国家公路交通安全管理局副局长Sophie Shulman表示，新规“要求自动紧急制动系统在高速行驶场景下更加高效，并能够检测行人”。根据最新的自动紧急制动（AEB）系统规定，所有新型轿车及轻型卡车都必须配备自动紧急制动（AEB）技术，必须能够在高达62英里的时速下避免碰撞，并提供全天候的行人检测能力。 \u003C\u002Fp>\n\u003Cp>该政策旨在通过强制普及自动紧急制动技术，使车辆能够检测并防止与行人和其他车辆发生碰撞，从而大幅减少事故并提升车辆安全性，最终为所有人营造更安全的道路环境。事实证明，自动紧急制动技术能够显著改善道路安全。据交通安全分析研究伙伴关系（PARTS）报告，高级驾驶辅助系统（ADAS）的性能正在不断提升，可有效地降低车辆追尾事故的发生率；在所有车型细分和年款中，搭载高级驾驶辅助系统功能的车辆，尤其是配备了自动紧急制动（AEB）的车辆，前向碰撞事故减少了49%。\u003C\u002Fp>\n\u003Cp>在应对这些挑战方面，自动紧急制动技术具有独特的优势。在驾驶员分心、反应迟钝或无法及时应对时，自动紧急制动技术可主动介入，显著降低致命碰撞的风险。据美国国家公路交通安全管理局预测，自动紧急制动技术整合行人检测后，每年有望“预防至少2.4万起车祸伤害事件”。\u003C\u002Fp>\n\u003Ch3>携手Mobileye，定义自动紧急制动新标杆\u003C\u002Fh3>\n\u003Cp>尽管监管机构和各类机构都在推动法规和安全举措的落地，但真正能够实现安全目标的根基在于技术突破。Mobileye拥有长达十年的自动紧急制动系统部署经验，积累了庞大的真实场景数据。目前，全球已有数百款车搭载了Mobileye系统，我们借此累计采集了约20万小时（行驶里程超过1100万公里）的真实驾驶数据。这些数据的规模十分庞大，为算法优化提供了坚实基础。\u003C\u002Fp>\n\u003Cp>我们分析了美国、欧洲和亚洲了多个城市和乡镇在白天、黎明、傍晚、黄昏和夜间等各种光线条件下的自动紧急制动技术响应能力。严格的验证过程带来了积极的成果，结果显示，我们的自动紧急制动系统具有极低的漏触发和误触发概率。\u003C\u002Fp>\n\u003Cp>这项技术的成功是应对更复杂驾驶场景的关键，也是成功实施新规的技术保障。\u003C\u002Fp>\n\u003Ch3>实现准确的自动紧急制动\u003C\u002Fh3>\n\u003Cp>开发自动紧急制动（AEB）系统的主要挑战之一是平衡安全性与自然驾驶行为。系统必须将预防事故放在首位，但不应因过度谨慎、突兀介入或影响驾驶舒适性。为此，该技术需持续迭代，力求在多样化场景中模拟人类的合理判断。\u003C\u002Fp>\n\u003Cp>以Mobileye自动紧急制动系统在印度的实际应用为例，在当地驾驶需要极高的适应性。驾驶员要娴熟地穿梭于密集的车流中，不断根据车辆、行人、动物乃至临时障碍物（如路障）进行调整。尽管道路上看似混乱拥挤，实则暗含高效的通行逻辑。\u003C\u002Fp>\n\u003Cp>以上表明，Mobileye自动紧急制动系统展现出更具“本土化”的响应能力：不仅根据车距触发制动，还针对常见障碍（如牛等）优化检测能力。这一案例印证了自动紧急制动系统在特定环境下的优异表现，也凸显了多区域测试数据对系统全球适用性的重要性。\u003C\u002Fp>\n\u003Ch3>优化高级驾驶辅助系统系统，打造更安全的未来\u003Cstrong>  \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>当前，整个行业正朝着更安全、更高效的未来大步迈进。其中，技术是真正推动进步的支柱。而Mobileye的自动紧急制动系统凭借成熟经验与持续创新，将在驾驶辅助领域持续引领行业标准并满足不断变化的要求。未来，我们仍将不断努力，专注于提升自动紧急制动系统的效能，进而为驾驶员和行人提供保护，推动实现未来道路安全的全新图景。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-01-09T08:00:00.000Z",[57,108],{"id":523,"type":14,"url":524,"title":525,"description":526,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":526,"image":527,"img_alt":528,"content":529,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":530,"tags":531},285,"prof-amnon-shashua-at-ces-2025","CES 2025: Amnon Shashua 教授畅谈未来出行变革","在CES 2025主题演讲 “Mobileye: Now. Next. Beyond.”中，Mobileye 总裁兼首席执行官Amnon Shashua教授向听众提出了一个核心问题 – 颠覆出行的关键是什么？","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7d850b79bb7c52216b36173a9f6bcfb3_1736363040927.jpg","通过融合尖端技术与智能路网专长，兼顾成本效益，Mobileye正在塑造未来出行蓝图","\u003Cp>这是Mobileye创始人兼首席执行官Amnon Shashua教授连续第十年分享他对驾驶自动化行业未来的愿景，探讨了在人工智能的突破性进展推动下，高等级驾驶自动化汽车迅速从实验阶段走向日常现实中。尽管完全自动驾驶出租车已经在北美和欧洲开始投入使用，但Mobileye认为高等级驾驶自动化技术还将在消费级出行领域引发一场革命。\u003C\u002Fp>\n\u003Cp>点击此处观看主题演讲。\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FMQnkqXoMEOc?si=VayQlJneUY5nIrwU\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>精确度 vs. 召回率\u003C\u002Fh3>\n\u003Cp>Shashua教授提到了实现可扩展的完全自动驾驶所需的两个关键维度：召回率（可用性）和精确度（安全性）。召回率可确保系统处理多样化的场景、地理环境和条件，而精确度则通过最大限度地减少错误来确保安全，更侧重于安全性。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3c584de8c954aee7d8eadcd75d1953b5_1736363079618.jpg\" alt=\"Precision vs. Recall\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Ch3>创建安全架构\u003C\u002Fh3>\n\u003Cp>在谈到Mobileye的安全架构及其如何应对不合理风险时，Shashua教授解释道，Mobileye的方法可以处理四种错误类型。他还详细阐述了Mobileye系统如何通过一系列软件和硬件冗余设计来减少这些错误的发生。随后，他介绍了Mobileye的创新融合方法 – 主系统-监护系统-备用系统（\u003Cstrong>Primary-Guardian-Fallback (PGF)\u003C\u002Fstrong>\u003Cstrong>）\u003C\u002Fstrong>，这种分层决策模型将多数法则扩展至非二元决策，从而增强系统在复杂场景下的可靠性和适应能力。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fced2c26cc06d0aeed8104fdf72d06dd3_1736363132926.jpg\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Ch3>工程创新：开辟全新视觉感知方式\u003C\u002Fh3>\n\u003Cp>Shashua教授还介绍了用于分层视觉的独特感知技术。这种先进的处理技术由Mobileye最新的系统集成芯片EyeQ6™驱动，可生成3D感知，从而构建一种冗余且可靠的环境理解。\u003C\u002Fp>\n\u003Cp>Mobileye在精度方面不断取得突破，尤其是在成像雷达技术的应用上，这项技术已经取得了显著进展。预计于2026年投产的成像雷达技术可提供高分辨率，其感知能力能够弥补摄像头存在的盲区和感知弱点。在Mobileye Drive™和Mobileye Chauffeur™中，这项技术发挥着关键作用，受到了客户的广泛关注。\u003C\u002Fp>\n\u003Ch3>展望未来\u003C\u002Fh3>\n\u003Cp>最后，他还谈及了产品从演示到规模化量产所面临的挑战，强调可购性是普及先进系统的关键。通过融合尖端技术与智能路网专长，兼顾成本效益，Mobileye正在塑造未来出行蓝图。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2025-01-08T08:00:00.000Z",[50,65,122,108,141],{"id":533,"type":142,"url":534,"title":535,"description":536,"primary_tag":121,"author_name":18,"is_hidden":47,"lang":173,"meta_description":536,"image":537,"img_alt":538,"content":539,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":540,"tags":541},283,"mobileye-announces-ces-2025-press-conference","Mobileye CES 2025 新闻发布会蓄势待发","Amnon Shashua教授将在拉斯维加斯当地时间2025年1月7日上午11点在“Mobileye: Now. Next. Beyond.”新闻发布会上发表年度演讲。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1fbc54899406499ef56105747d30bfbf_1734381310020.jpg","Amnon Shashua教授在往年CES上发表年度演讲","\u003Cp>在即将开幕的CES 2025上，Mobileye（纳斯达克代码：MBLY）将重点展示其最新技术和解决方案，以及如何通过可扩展模式不断提升道路交通安全并达成自动驾驶出行的技术范式。作为发布会开场，Mobileye创始人、总裁兼首席执行官Amnon Shashua教授将发表以“Mobileye: Now. Next. Beyond.”为题的年度演讲，隆重介绍Mobileye从高级驾驶辅助系统到全自动驾驶解决方案的全栈创新与应用成果。\u003C\u002Fp>\n\u003Cp>“Mobileye: Now. Next. Beyond.”新闻发布会将于\u003Cstrong>2025\u003C\u002Fstrong>\u003Cstrong>年\u003C\u002Fstrong>\u003Cstrong>1\u003C\u002Fstrong>\u003Cstrong>月\u003C\u002Fstrong>\u003Cstrong>7\u003C\u002Fstrong>\u003Cstrong>日周二上午\u003C\u002Fstrong>\u003Cstrong>11:00\u003C\u002Fstrong>（太平洋时间）(北京时间：1月8日凌晨3:00) 在美国拉斯维加斯会展中心（LVCC）\u003Cstrong>西厅\u003C\u002Fstrong>\u003Cstrong>W326\u003C\u002Fstrong>\u003Cstrong>会议室\u003C\u002Fstrong>举办，并同步进行线上直播。\u003C\u002Fp>\n\u003Cp>届时，Shashua教授将分享Mobileye开发安全可扩展自动驾驶解决方案的最新进展，并介绍公司对2025年的展望及更长远的愿景。\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2025\u002F\">点击此处\u003C\u002Fa>，以申请线下或线上参会席位。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye CES \u003C\u002Fstrong>\u003Cstrong>展台\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>在CES 2025期间，欢迎广大参观者莅临Mobileye位于LVCC西厅1层的4700展台，参加Mobileye在此举办的一系列现场演示和讲座活动，与Mobileye共同聚焦AI、传感器融合、成像雷达和其他针对道路安全的核心技术与最新开发成果。这些创新成果是Mobileye模块化产品组合的重要基础，本次计划展出的技术方案包括：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>高级驾驶辅助系统：从基础ADAS到云增强ADAS；\u003C\u002Fli>\n\u003Cli>环绕式高级驾驶辅助系统：一套全面确保安全的环视方案；\u003C\u002Fli>\n\u003Cli>Mobileye SuperVision™：可脱手\u002F需注视的高阶驾驶辅助平台；\u003C\u002Fli>\n\u003Cli>Mobileye Chauffeur™：面向消费级车辆的可脱眼自动驾驶系统；\u003C\u002Fli>\n\u003Cli>Mobileye Drive™：应用于“出行即服务”的完全自动驾驶系统。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Cstrong>CTA & PAVE\u003C\u002Fstrong>\u003Cstrong>自动驾驶汽车（\u003C\u002Fstrong>\u003Cstrong>AV\u003C\u002Fstrong>\u003Cstrong>）圆桌会议\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>1月8日周三，Mobileye首席技术官Shai Shalev-Shwartz教授将参加一场研讨会，与业界高管和专家们共同探讨自动驾驶汽车技术的发展现状。本次研讨会是CTA与自动驾驶汽车教育合作伙伴联盟（PAVE）主办的系列会议之一。\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>时间：\u003C\u002Fstrong>2025年1月8日上午10:30（太平洋时间）\u003C\u002Fli>\n\u003Cli>\u003Cstrong>地点：\u003C\u002Fstrong>威尼斯人会展中心403室\u003C\u002Fli>\n\u003Cli>\u003Cstrong>参会注册：\u003C\u002Fstrong>点击\u003Ca href=\"https:\u002F\u002Fweb.cvent.com\u002Fevent\u002F160622a8-4160-4674-9c3d-776f6912c99d\u002Fsummary\">此处\u003C\u002Fa>，了解活动信息与注册详情。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.ces.tech\u002Fschedule\u002Fautonomous-vehicles-the-future-is-finally-here\u002F\">\u003Cstrong>自动驾驶汽车：未来已至\u003C\u002Fstrong>\u003C\u002Fa>\u003Cstrong>（\u003C\u002Fstrong>\u003Cstrong>Autonomous Vehicles: The Future Is Finally Here\u003C\u002Fstrong>\u003Cstrong>）\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>1月9日周四，Mobileye自动驾驶业务常务副总裁Johann Jungwirth将与行业领袖们一同探讨如何使自动驾驶汽车融入社区，如何与消费者建立信任，以及如何运用新的AI战略优化自动驾驶技术。\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>时间：\u003C\u002Fstrong>2025年1月9日下午3:00（太平洋时间）\u003C\u002Fli>\n\u003Cli>\u003Cstrong>地点：\u003C\u002Fstrong>拉斯维加斯会展中心西厅2层W219\u003C\u002Fli>\n\u003Cli>\u003Cstrong>参会注册：\u003C\u002Fstrong>需出示CES\u003Ca href=\"https:\u002F\u002Fwww.ces.tech\u002Ftopics\u002Fvehicle-tech-and-advanced-mobility\u002F\">汽车技术与高级移动出行\u003C\u002Fa>大会通行证。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>关于Mobileye在CES 2025中的更多信息，可访问\u003Ca href=\"http:\u002F\u002Fwww.mobileye.com\u002Fces-2025\u002F\">www.mobileye.com\u002Fces-2025\u002F\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-12-17T08:00:00.000Z",[122,141],{"id":543,"type":14,"url":544,"title":545,"description":546,"primary_tag":107,"author_name":18,"is_hidden":47,"lang":173,"meta_description":546,"image":547,"img_alt":548,"content":549,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":550,"tags":551},282,"from-driver-assisting-to-self-driving","从辅助驾驶到高等级驾驶自动化汽车：Mobileye常见问题解答","10个问题帮助大众深入了解Mobileye","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9c9147cd067ec3b9bb3a238f5a908f87_1733904031431.png","“从基础ADAS，到高等级驾驶自动化功能，再到L4驾驶技术，我们设计所有解决方案时都将安全放在首位，道路使用者的安全始终是我们最看重的。”","\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>Mobileye是做什么的？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>Mobileye开发并提供全球领先的高等级驾驶自动化汽车和驾驶辅助技术解决方案，在计算机视觉、机器学习和定位技术方面掌握举世瞩目的专业技术。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>具体而言呢？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>简而言之，我们希望通过打造更安全、更智能的汽车，在无论是人类驾驶还是无人驾驶的情况下，都让道路更安全。我们拥有将微芯片编程并发挥其全部潜力的专业知识，同时还能将其与摄像头等传感器完美同步。\u003C\u002Fp>\n\u003Ch4>\u003Cstrong>\u003Cspan style=\"font-size: 12pt;\">那么Mobileye是一家什么性质的公司？是汽车公司、科技公司还是人工智能公司？\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh4>\n\u003Cp>这是一个非常有意思的问题。Mobileye三者兼而有之。虽然我们不生产汽车，但我们为汽车制造商提供安全驾驶解决方案。事实上，如果一辆汽车具有车道保持辅助、自动紧急制动或智能车速警示等功能，那么它很有可能搭载了Mobileye的EyeQ芯片、高级驾驶辅助系统（ADAS）的传感器或摄像头等装置。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>Mobileye从事这个行业多久了？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>Mobileye由Amnon Shashua教授于1999年创立，他提出了一个简单而前瞻性的想法 - 将摄像头传感器作为挽救生命技术的基础，由此奠定了公司的使命基调。此后，Mobileye不断开拓创新，推出突破性技术，并开发了真正冗余（True Redundancy™）感知体系和责任敏感安全模型（RSS™），为我们的高级驾驶辅助系统和高等级驾驶自动化汽车（AV）解决方案提供支持。我们业界领先的平台通过提升驾驶安全性来增强驾驶体验，并融入到车辆设计中，从单个摄像头到用于高等级驾驶自动化车辆的人工智能（AI），应有尽有。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F27efb38a1b51449ba186725bb1fb9b3d_1733904095025.png\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>你们生产什么产品？ \u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>很多很多。就高级驾驶辅助系统而言，我们开发了一系列能够提高安全性、提升驾驶体验并自动化执行某些驾驶功能的技术和功能。高级驾驶辅助系统分为多个级别，首先是基础ADAS，它包括一个用于提高安全性的前置摄像头。高级驾驶辅助系统包括自动紧急制动（AEB）、前防撞警告（FCW）、车道保持辅助、自适应巡航控制（ACC）和交通标志识别等功能。目前，这项技术已经被广泛应用于现今数百万辆车辆中，有效预防交通碰撞的事故并减少伤害。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>仅此而已吗？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>当然不是！Mobileye云增强驾驶辅助系统（Cloud-Enhanced Driver-Assist™ system）无需额外硬件，便可提供更安全、更顺畅、更舒适的驾驶体验，标志着高级驾驶辅助系统的一次性能飞跃。它利用来自全球数百万辆配备Mobileye的车辆发送的道路信息，提供定位服务。\u003C\u002Fp>\n\u003Cp>基于上述两大平台，我们又推出了Mobileye Surround ADAS™，这是一个用于高速公路的“驾驶员运动脱离\u002F需注视”解决方案，由我们迄今为止功能最强大的EyeQ™6H系统级芯片驱动。它利用多达六个摄像头和五个雷达，进而为车辆提供所需的数据，使其能够顺畅的在真实道路环境中行驶。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>可以谈一谈高等级驾驶自动化汽车吗？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>在深入探讨我们的高等级驾驶自动化平台之前，我们先花点时间来重点介绍一下Mobileye SuperVision™，这是连接我们高级驾驶辅助系统产品和高等级驾驶自动化汽车解决方案的桥梁。凭借其360°视觉和感知系统（最多可搭载11个摄像头及两颗EyeQ™6H系统集成芯片），SuperVision™开启标准驾驶功能后，可让驾驶员在几乎所有道路类型上实现“驾驶员运动脱离”驾驶但仍要求注视的领航辅助驾驶。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>“驾驶员运动脱离\u002F需注视”系统之后还会有什么提升？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>当然是“驾驶员运动脱离\u002F驾驶员视觉脱离”！基于我们的安全架构方法论、先进计算机视觉功能以及包括雷达、激光雷达和11个摄像头在内的硬件，我们面向消费级汽车的Mobileye Chauffeur™“驾驶员运动脱离\u002F驾驶员视觉脱离”解决方案，可实现最高130公里\u002F小时的车速行驶，并可在其规定的设计运行范围（ODD）内提供点到点的自动“领航辅助驾驶”体验。\u003C\u002Fp>\n\u003Cp>另外，我们还开发了端到端高等级驾驶自动化系统Mobileye Drive™，它将进一步提升我们的技术，有助于汽车制造商和交通运营商为完全自动驾驶出租车、拼车、公共交通和物流配送车等不同类型的高等级驾驶自动化车辆提供无人驾驶的解决方案。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>但是安全问题呢？高等级驾驶自动化汽车安全吗？比人类驾驶更安全吗？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>从基础ADAS，到高等级驾驶自动化功能，再到无人驾驶技术，我们设计所有解决方案时都将安全放在首位，道路使用者的安全始终是我们最看重的。我们最新的EyeQ6 SoC系列是我们迄今为止最先进的产品，可使车辆以更高的精度和可靠性在路上行驶。我们的责任敏感安全模型（RSS™）是一种基于数学的安全模型，遵循五大核心安全规则，并构建了Mobileye的驾驶策略。同时，我们的REM™技术创建了一个持续更新的智能路网，能够帮助汽车在我们的高级驾驶辅助系统和高等级驾驶自动化平台中实现更安全的驾驶。\u003C\u002Fp>\n\u003Ch4>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>那么Mobileye的未来愿景是怎样的？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh4>\n\u003Cp>Mobileye的未来愿景包含两大关键理念：一是借助高等级驾驶自动化能力大幅减少交通事故的发生；二是让消费者以全新的方式受益于L4级驾驶车辆，例如享受完全自动驾驶出行服务，缓解闹市区的交通拥堵及污染等问题。这就是我们的目标，虽然我们已有很多先进技术投入使用，但为推动完全自动驾驶成为现实，我们每天仍在努力解决各种复杂的场景和极限状况。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-12-12T08:00:00.000Z",[141,108,65],{"id":553,"type":136,"url":554,"title":555,"description":556,"primary_tag":17,"author_name":18,"is_hidden":47,"lang":173,"meta_description":556,"image":557,"img_alt":558,"content":559,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":560,"tags":561},281,"mobileye-at-ces-2025","Mobileye 闪耀 CES 2025","在展会期间，您可访问我们的新闻工具库，获取最新的活动、新闻、多媒体内容等信息。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1833572c15ccfb76fcd471355eedb899_1734044782739.png","Amnon Shashua 教授将于 1 月 7 日上午 11 点举行年度新闻发布会，拉开 Mobileye CES 2025 序幕。","\u003Cp>\u003Cstrong>Mobileye 亮相 CES 2025\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye 将加入并出席 CES 2025，展示推动道路安全与自动驾驶出行的创新技术与解决方案。从高级驾驶辅助系统（ADAS）到完全自动驾驶汽车（AV），了解我们如何引领智能驾驶的出行未来。\u003C\u002Fp>\n\u003Cp>欲了解更多关于新闻发布会、展位演示和重点活动的信息，请访问 \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2025\u002F\">mobileye.com\u002Fces-2025\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>新闻\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-announces-ces-2025-press-conference\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye CES 2025 新闻发布会\u003C\u002Fa>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>在展会开幕之际，Mobileye 将举行年度 CES 新闻发布会“Mobileye: Now. Next. Beyond.”，创始人，总裁兼 CEO Amnon Shashua 教授将重点介绍多个平台和出行应用领域的创新解决方案，并分享我们对 2025 年及出行未来的愿景。\u003C\u002Fp>\n\u003Cp>点击\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-announces-ces-2025-press-conference\u002F\">这里\u003C\u002Fa>，了解更多关于我们的新闻发布会和 CES 2025 活动的咨询。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye 技术与解决方案\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye-technology-and-solutions[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye SuperVision \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileyes-advanced-platforms-in-the-drivers-seat[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong>由 Mobileye 所驱动\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:driven-by-mobileye[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Amnon Shashua 教授\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:professor-amnon-shashua[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong>图例\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:infographics[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong>视频\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]vimeo-press:1031870114[**]\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-12-08T08:00:00.000Z",[50,65,57,71],{"id":563,"type":14,"url":564,"title":565,"description":566,"primary_tag":17,"author_name":18,"is_hidden":47,"lang":173,"meta_description":566,"image":567,"img_alt":568,"content":569,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":570,"tags":571},280,"driving-ai","Mobileye Driving AI Day 活动的5大要点","首席执行官 Amnon Shashua 教授和首席技术官 Shai Shalev-Shwartz 教授介绍自动驾驶出行领域的关键人工智能技术的进展。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9d5275f3635f6d26bd00f9edf597d298_1732784251661.jpg","Shai Shalev-Shwartz 教授和 Mobileye 总裁兼首席执行官 Amnon Shashua 教授出席 Driving AI Day","\u003Cp>Mobileye是致力于开发完全自动驾驶系统的领军企业之一。我们的目标是搭建完全自动驾驶“可脱眼”系统，但这是一项十分复杂的工作，需要极高的安全标准，以及大量的长期投资。为了达成这一里程碑，我们凭借在高级驾驶辅助技术市场的领先地位创造当前收入，确保业务的可持续发展，同时始终聚焦于完全自动驾驶的最终目标。\u003C\u002Fp>\n\u003Cp>但要如何实现这一目标？上个月，我们的首席执行官Amnon Shashua教授和首席技术官Shai Shalev-Schwartz教授在Mobileye Driving AI Day活动中发表了演讲，讨论并分享了Mobileye为实现这一里程碑所采用的创新人工智能方法。\u003C\u002Fp>\n\u003Cp>观看演讲的五大要点，阐释了Mobileye以智能方式利用人工智能，从而逐步攻克自动驾驶技术的挑战。\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F92e5zD_-xDw?si=AFtw2AQWwgfm0Eoz\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan style=\"font-size: 14pt;\">单一方法无法解决自主性问题\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>在开场演讲中，Mobileye首席执行官Amnon Shashua教授概述了解决自主性问题的三种技术路线。以激光雷达为核心的复合人工智能系统（CAIS）方法，以纯视觉和端到端人工智能方法，以及Mobileye以摄像头为核心的复合人工智能系统（CAIS）方法。\u003C\u002Fp>\n\u003Cp>Shashua教授强调了评估每种方法时，需要基于四大关键支柱来衡量其是否成功实现自主性：成本、模块化、地域可扩展性和平均故障间隔时间（MTBF）。虽然每种方法都有其独特的优势和局限性，但没有一种方法能满足全部四大支柱并完全解决自主性问题。\u003C\u002Fp>\n\u003Cp>每种方法都有利有弊。某种方法可以提供高精度但生产效率却极度低下，而另一种方法本身则可能存在局限性或并不可靠。例如，以激光雷达为核心方法可提供高精度，从而实现极高（出色）的平均故障间隔时间，但其成本却限制了区域可扩展性，因此其难以适应更广泛的市场。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F53a8091b10a0f6baa10a8cac1aec0a67_1732785971870.png\" alt=\"\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>相反，依靠纯视觉或以摄像头为核心方法更为经济实惠，但通常会在实现高MTBF方面面临更多挑战，而且纯端到端方法会带来自动驾驶汽车领域的对齐问题（难以确保人工智能系统\u002F机器学习模型的目标与人类目标保持一致）。不过，经过平衡的方法可以弥合这些差距，既提供安全性，又能实现自动驾驶市场的可扩展性。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan style=\"font-size: 14pt;\">纯端到端方法存在局限性\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>端到端方法的前提是，向系统输入的数据越多，系统在模仿人类驾驶行为方面的能力就越优秀，最终达到甚至超越人类的驾驶水平。这种方法无需“粘合代码”或手动编码，而是完全依赖数据，尤其是无监督数据。\u003C\u002Fp>\n\u003Cp>基于Transformer的神经网络从数以百万计的汽车发送的驾驶数据中不断学习，消除了人工标注或解释数据的手动过程。。然而，这种方法面临三大挑战：缺乏抽象概念、存在捷径学习问题以及长尾问题。这三个挑战都凸显了当前系统在有效处理复杂现实驾驶场景方面的局限性。\u003C\u002Fp>\n\u003Cp>在演讲中，Shashua教授以“计算器问题”为例解释了缺乏抽象概念的局限性。其中，“计算器问题”是指ChatGPT因其基于语言的架构局限性，难以可靠地处理复杂多步骤计算的问题。\u003C\u002Fp>\n\u003Cp>要解决这个问题，答案其实极其简单：必须集成计算器工具（即集成Python环境来提高计算准确性）。然而，Shashua教授认为，仅仅依靠无监督数据的端到端方法来解决自动驾驶汽车这样的安全关键系统的所有复杂问题，既不可靠又充满风险。\u003C\u002Fp>\n\u003Cp>这种方法还有可能在学习阶段嵌入不良甚至危险的驾驶行为，且自动驾驶汽车的“对齐问题”也会更加显而易见，因为模型可能会优先考虑“常见但错误”的行为，而不是“罕见但正确”的行为。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc090cff3e255d37cf9c145fd17435972_1732784761464.jpg\" alt=\"\" width=\"1272\" height=\"825\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>例如，人类驾驶员通常会在接近停车标线时选择缓慢减速后继续前进，或做出鲁莽驾驶行为，此时，尽管这些行为并不正确，系统仍可能会将其视为常见行为进行学习。因此，区分正确和不正确的操作（尤其是在“罕见但正确”的场景中）仍然是一项复杂的挑战。\u003C\u002Fp>\n\u003Cp>这些问题可以通过特斯拉完全自动驾驶（FSD）系统收集的数据得到实际例证。我们可以看到，完全自动驾驶系统的数据表明，长尾问题在此显现，即使输入大量数据，模型也很难充分解决这些罕见事件，从而影响系统的整体安全性和可靠性，并阻碍系统在每一次产品升级中提高平均故障间隔时间（MTBF）的能力。\u003C\u002Fp>\n\u003Cp>这一问题凸显了仅依靠大型数据集的局限性，因为罕见但关键的驾驶场景往往在数据中被低估或缺失。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan style=\"font-size: 14pt;\">PGF(Primary-Guardian-Fallback) 融合对于打造安全系统至关重要\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>在整个驾驶过程中，我们需要进行无数次决策。从非常简单的二元选择——例如左转还是右转、刹车还是不刹车，到更复杂和微妙的判断——比如，如果我要刹车，是应该轻踩还是急刹？\u003C\u002Fp>\n\u003Cp>经典的处理方式是：多个系统提供答案，并采取少数服从多数的原则 – 如果三个系统中有两个决定向左并线，那么就向左并线。但是，如果这三个系统提供了三种不同的建议，例如分别是左转、右转或保持直行呢？在这种情况下，多数原则并不能解决问题。\u003C\u002Fp>\n\u003Cp>这时候就需要PGF（Primary-Guardian-Fallback）融合方法。PGF系统是一个分层决策模型。其工作原理如下：\u003C\u002Fp>\n\u003Cul>\n\u003Cli data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\">\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Primary 主系统: \u003C\u002Fspan>\u003C\u002Fstrong>该系统是标准自动驾驶系统（SDS），用于生成车辆的轨迹 - 规划的路线或行动方案。在大多数情况下，它是主要决策者，输出初步建议的行驶路线或行动方案。\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\">\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Fallback 备用系统: \u003C\u002Fspan>\u003C\u002Fstrong>与Primary主系统一样，Fallback备用系统是另一种能自动生成路径轨迹或替代路线的自动驾驶系统。它是“Primary”主系统遇到问题或Guardian监护系统检测到潜在问题时的备用系统。\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli data-leveltext=\"\" data-font=\"Symbol\" data-listid=\"13\" data-list-defn-props=\"{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}\" aria-setsize=\"-1\" data-aria-posinset=\"1\" data-aria-level=\"1\">\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Guardian 监护系统: \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\">Guardian监护系统是一个监控层。它不会直接生成路径，而是对Primary主系统的轨迹进行评估，以确保其符合一定的安全性和可行性标准。简而言之，Guardian监护系统会评估Primary主系统建议的行动方案是否安全可行。如果Guardian监护系统发现问题，则可以触发Primary主系统切换到Fallback备用系统，以确保车辆的安全领航行驶。\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>在决定是否刹车的二元情景中，以使用三重传感器系统为例：摄像头（“Primary”主系统）、雷达（“Guardian”监护系统）和激光雷达（“Fallback”备用系统），按多数原则进行决策：如果摄像头和雷达决策一致，就直接执行；如果不一致，就遵从激光雷达的建议，而激光雷达的建议必然会与另外两个系统其中之一的建议保持一致，确保服从多数 - 因此，PGF相当于秉持了2\u002F3多数原则。\u003C\u002Fp>\n\u003Cp>“三个子系统中的多数”这一概念只在二元决策中具有明确的定义。然而，我们在驾驶过程中需要做出的许多决策都不是二元决策。\u003C\u002Fp>\n\u003Cp>最值得注意的是，车道的几何形状并不是二元决策，而这种几何形状对责任敏感安全模型（RSS）的决策有着深远的影响。因此，我们提出了一种对多数原则的概括，称之为PGF（Primary-Guardian-Fallback）融合系统。这种融合系统遵循“Primary”主系统或“Fallback”备用系统的建议，具体取决于“Guardian”监护系统的输出。\u003C\u002Fp>\n\u003Ch3>\u003Cspan data-ccp-props=\"{}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb241684e79737202ff86b19c995c3fb1_1732784889378.jpg\" alt=\"\" width=\"1272\" height=\"825\" \u002F>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Ch3>\u003Cstrong>\u003Cspan style=\"font-size: 14pt;\">Transformer 效率可提高100倍\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>在目标物检测领域，通信至关重要。将图像准确输入标记化流程 - 将其转换为可解读和可处理的数据 -需要尽可能精确的执行。而要进一步提升效率，不仅需要智能的标记化过程，还需要构建一个系统，使标记能够以高效且有序的方式进行大规模相互通信，从而实现更高级别的协同处理。\u003C\u002Fp>\n\u003Cp>需要注意的是，由于单个芯片的计算要求很高，通信过程必须高效。为使芯片流畅运行，则必须优化数据流，以防止芯片性能滞后，从而导致通信速度变慢。\u003C\u002Fp>\n\u003Cp>在演讲中，Mobileye首席技术官Shai Shalev-Schwartz教授解释了Mobileye利用稀疏类型注意力（STAT）方法解决这一问题，并将Transformer效率提高100倍。稀疏类型注意力方法通过将标记组织成结构化的组来优化标记之间的通信。想象一下，成千上万人试图在一个巨大的体育场内互相交谈，必然会导致混乱。同样的概念也适用于成千上万的标记，在相同的场景下，它们很难有效地相互交流。而STAT方法正是为解决这一问题而设计的。\u003C\u002Fp>\n\u003Cp>除非将其划分为特定的角色 - 例如“常规标记”和“管理者标记” - 以创建更有组织的通信结构，或者更准确地说，是相关的连接方式。这基本上就是稀疏类型注意力背后的理念，通过改进类型和组织方式，引入结构和参数来提高模型效率。\u003C\u002Fp>\n\u003Cp>那我们是如何做到这一点的呢？我们通过用“管理者”或链接标记，对标记进行划分和分组来建立秩序，让常规标记可以独立地与链接标记（“管理者”）进行通信。例如，通过将300个常规标记与32个链接标记分组，常规标记就可以与链接标记通信，而链接标记之间也可以相互通信。这种结构化方法大大降低了复杂性，将模型效率提高了100倍。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan style=\"font-size: 14pt;\">在效率与灵活性之间寻找最佳平衡点\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Shai Shalev-Schwartz 教授阐述了芯片运行中效率和灵活性之间的平衡。简而言之，如果我们要设计只具单一内置用途的超高效芯片，那么它的效率会非常高，但同时功能也非常有限。\u003C\u002Fp>\n\u003Cp>另一方面，如果设计一款多任务处理芯片，那么它的灵活性就会很高，但其性能却不会那么高效。这就是效率和灵活性之间的基本权衡 - 尤其是对于车载芯片而言。然而，EyeQ™6 High芯片恰好能够满足自动驾驶的需求，实现了灵活性和效率之间的完美结合。\u003C\u002Fp>\n\u003Cp>为实现这一目标，EyeQ™6 High芯片内部包含了多种组件，每种组件都具有不同程度的灵活性和效率。Shai Shalev-Schwartz教授提到了五种不同架构的组件，这些组件从高度专用、高效到高度灵活，不一而足。从两种高度灵活的中央处理器 - MPC和MIPS，到高效且特定的XNN，再到介于两者之间的两种加速器，EyeQ™6 High芯片可根据操作的不同进行调整，以适用于不同的应用范围。\u003C\u002Fp>\n\u003Cp>在执行苛刻的人工智能深度学习任务时，Mobileye EyeQ6 High的效率令人印象深刻。其34 TOPS（每秒万亿次运算）的算力大大超越了前代产品EyeQ5。然而，单纯比较TOPS数字并不能完全反映其优势。\u003C\u002Fp>\n\u003Cp>衡量芯片在自动驾驶应用中有效性的真正标准，在于其在各种神经网络任务中每秒可处理帧数的能力。例如，EyeQ5每秒仅能处理91帧的像素标注神经网络，而EyeQ6 High每秒可处理超过1000帧，效率提高了十倍以上。这一升级不仅来自于更高的时钟速度，还源于XNN的专用架构，该架构针对特定应用的高效利用进行了优化。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F53a8091b10a0f6baa10a8cac1aec0a68_1732785971875.png\" alt=\"\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>例如，英伟达Orin芯片的算力可达到275 TOPS，相比之下，其原始数据可能更胜我们一筹。然而，在运行标准的ResNet-50网络时，两者的帧数处理能力差距仅为2倍。\u003C\u002Fp>\n\u003Cp>这表明，仅凭TOPS并不足以衡量芯片的有效性；环境和效率才是关键。总体而言，EyeQ6High的设计侧重于量身定制的功能和效率，并辅以强大的软件堆栈（在各种加速器之间优化任务分配）。从本质上讲，EyeQ6 High的真正优势在于它的智能设计。而这种为高效处理特定任务而量身定制的设计证明，单纯TOPS数据并不能反映其真正的性能。\u003C\u002Fp>\n\u003Cp>总而言之，Mobileye在人工智能领域的专业技术与为提高效率而优化的专用硬件相结合，为实现区域可扩展的自动驾驶技术开辟了一条清晰的道路。随着我们不断获得突破，我们正一步步实现完全自动驾驶的未来愿景。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-11-27T08:00:00.000Z",[50,65,71],{"id":573,"type":14,"url":574,"title":575,"description":576,"primary_tag":155,"author_name":577,"is_hidden":47,"lang":173,"meta_description":576,"image":578,"img_alt":579,"content":580,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":581,"tags":582},279,"the-mobileye-safety-methodology-for-fully-autonomous-driving","Mobileye 高等级驾驶自动化系统安全架构方法论","我们的高等级驾驶自动化系统安全架构方法论以基本原则和行业标准为基础，旨在降低不同类型的风险。","Prof. Shai Shalev-Shwartz and Prof. Amnon Shashua","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F114f82911350ead2e8d23f09ea3935a9_1732626715488.jpg","图片来源：大众汽车集团","\u003Cp>就自动驾驶而言，怎样才算足够安全？\u003C\u002Fp>\n\u003Cp>迄今为止，即使全球已有数以千计的自动驾驶汽车上路行驶，且自动驾驶汽车的商业化也指日可待，自动驾驶的安全问题仍然悬而未决。目前的一个关键基准指标是平均故障间隔时间（MTBF）- 从根本上说，该指标可确定在事故或伤害发生的频率方面，自动驾驶系统的水平是否优于普通人类？这一指标极易掌握和测量，但仔细研究就会发现其局限性——违规和粗心驾驶严重影响人类的统计数据，而自动驾驶系统不可能酒驾，也不会在开车时向他人发短信。更重要的是，衡量人类驾驶的标准不仅是事故，而且应该包括避免鲁莽行为 – 即：对自己和其他道路使用者承担谨慎驾驶的责任，避免不合理的风险。因此，我们认为，虽然足够高的平均故障间隔时间至关重要，但它并不足以证明自动驾驶系统的安全性。\u003C\u002Fp>\n\u003Cp>经过多年的突破性发展，如今，Mobileye及整个行业对完全自动驾驶的安全要求有了更清晰的认识。在发布的一篇新论文中，我们介绍了一个旨在大规模部署安全自动驾驶系统的框架。该框架基于两大关键原则：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\n\u003Cp>系统的总体平均故障间隔时间应至少与针对人类的数据一样好。\u003C\u002Fp>\n\u003C\u002Fli>\n\u003Cli>\n\u003Cp>系统应消除不合理风险，同时使自动驾驶系统提供商明确界定合理与不合理风险的边界。\u003C\u002Fp>\n \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>第一项要求使用平均故障间隔时间作为指标，解决了底线问题 —— 自动驾驶车辆所造成的伤害不得超过人类驾驶车辆所造成的伤害。然而，这还不够，因此我们补充了第二项要求 —— 消除不合理风险。该要求使用调整后的平均故障间隔时间指标，其中包含了透明度、问责制和遵守严格安全标准等原则。\u003C\u002Fp>\n\u003Cp>第二项要求的难点在于：如何严格界定“合理”与“不合理”风险之间的边界，以及如何制定消除不合理风险的方法论。有关我们具体实施的技术细节，请阅读我们的\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Ffiles\u002FSDS_Safety_Architecture.pdf\">论文\u003C\u002Fa>。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-11-26T08:00:00.000Z",[50,65,156],{"id":584,"type":142,"url":585,"title":586,"description":587,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":587,"image":588,"img_alt":589,"content":590,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":591,"tags":592},278,"mobileye-releases-2023-sustainability-report","Mobileye 发布《2023年度可持续发展报告》","报告重点介绍了Mobileye在环境保护、社会发展和公司治理方面取得的进展，以及对提高交通安全性、效率和可使用性的承诺。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F39b8d459bdbcac10c125983c238ff285_1731587065234.jpg","Mobileye 耶路撒冷总部","\u003Cp>2024年11月14日，耶路撒冷 - Mobileye（纳斯达克股票代码：MBLY）发布了《2023年度可持续发展报告》，作为其首份可持续发展报告，全面概述了公司在环境保护、社会发展和公司治理（ESG）方面所做的努力和承诺。报告标志着Mobileye开启了ESG之旅，详细介绍了全公司秉承公司愿景（即提高交通安全性、效率和可使用性）践行的业务实践。点击\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fabout\u002Fesg\u002F\">这里\u003C\u002Fa>查看详细报告。\u003C\u002Fp>\n\u003Cp>Mobileye首席运营官Kobi Ohayon表示：“很高兴与大家分享我们的首份可持续发展报告。2023年是关键的一年，这一年，为评估Mobileye在ESG领域的未来进展，Mobileye确定了重点领域，并建立了初步流程和基准措施。我们热切期望作为一家独立公司，在我们建立的道路上取得进展，进而确保所有利益相关者的利益”。\u003C\u002Fp>\n\u003Cp>自1999年成立以来，Mobileye一直致力于通过技术创新挽救生命以及预防交通事故。Mobileye的全球员工队伍不断壮大，遍布六个国家。我们拥有相同的目标，就是让世界各地的每一位用户能够享受智能驾驶带来的便利生活。\u003C\u002Fp>\n\u003Cp>遵循这一使命的指引，Mobileye提供全面的高级驾驶辅助系统（ADAS）和自动驾驶汽车（AV）解决方案组合，以应对道路安全挑战，并改善驾驶体验。凭借在计算机视觉、机器学习和数据分析方面的专业知识，Mobileye致力于提高汽车安全性和自动驾驶出行体验，为人们的日常生活带来积极影响。\u003C\u002Fp>\n\u003Cp>《2023年度可持续发展报告》深入介绍了Mobileye在努力实现可持续性未来的同时，对质量和产品管理、隐私和数据保护、员工和社区贡献的关注。其中部分亮点包括：\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>LEED铂金级认证\u003C\u002Fstrong>：Mobileye耶路撒冷新总部已荣获美国绿色建筑委员会（USGBC）颁发的LEED铂金级认证。新园区在水资源利用率、创新设计和区域优先事项方面表现出色，彰显了 Mobileye 致力于实现可持续发展目标和高效运营的壮志雄心。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>普及安全性\u003C\u002Fstrong>：截至2023年12月30日，全球已有数百款车型搭载了 Mobileye 解决方案；迄今，已有约1.7亿辆汽车部署了EyeQ™系统集成芯片（SoC）。这表明了公司为普及安全性以及通过驾驶辅助技术实现社会效益的坚定决心。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>社区贡献\u003C\u002Fstrong>：2023年，Mobileye为众多非营利组织和社会事业拨款120万美元，以支持包括教育、医疗保健和各种福利事业在内的各项活动。\u003C\u002Fli>\n\u003Cli>\u003Cstrong>废弃物回收利用\u003C\u002Fstrong>：本年度，Mobileye各办公室共回收利用了28吨物料，包括纸板、纸张、电子产品、塑料和电池，其中电子废弃物占总回收材料的63%。\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>未来，Mobileye每年都将持续、全面披露可持续发展领域相关举措，力争成为先进企业典范。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-11-14T08:00:00.000Z",[141],{"id":594,"type":142,"url":595,"title":596,"description":597,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":597,"image":598,"img_alt":599,"content":600,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":601,"tags":602},277,"lyft-and-mobileye-team-up-to-enable-autonomous-mobility-at-scale","Lyft携手Mobileye推动自动驾驶出行服务规模化发展","Lyft与Mobileye宣布合作计划，旨在助力行业领先的车队运营商推动自动驾驶汽车出行服务的广泛商业化进程。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3b2365766871f66fc014d639f6d51eac_1730848606995.jpg","Lyft and Mobileye ","\u003Cp>11月6日 —— 北美最大的网约车公司之一Lyft（纳斯达克股票代码：LYFT）与领先的自动驾驶技术和高级驾驶辅助系统（ADAS）提供商Mobileye（纳斯达克股票代码：MBLY）今日宣布将联手合作，助力行业领先的车队运营商推动自动驾驶汽车出行服务的广泛商业化进程。\u003C\u002Fp>\n\u003Cp>Mobileye将最新的人工智能技术进展应用于自动驾驶领域，为一众专用车辆制造商提供自动驾驶技术，使其能够将Mobileye的先进技术整合到自动驾驶功能就绪车辆中，以供车队运营商及运输服务提供商直接采买。Lyft选择与Mobileye联手，旨在基于自身在北美网约车服务市场的领先地位以及每年4000万的庞大用户基础，为搭载Mobileye Drive™的自动驾驶车队提供无缝需求平台。\u003C\u002Fp>\n\u003Cp>此次合作主要面向期望未来在北美各大都市地区部署和管理大规模车队的自动驾驶汽车运营商，使其能够从车辆制造商处采买搭载了Mobileye Drive™并能直接接入Lyft服务的车辆，通过Lyft接取用户出行订单，并优化车队的利用率和盈利能力。\u003C\u002Fp>\n\u003Cp>两家公司还计划利用Mobileye最新的云基础自动驾驶汽车需求技术，使搭载了Mobileye Drive™的车辆与自动驾驶车队运营商互联互通。通过Mobileye的一站式自动驾驶汽车生态系统和Lyft的自动驾驶汽车合作伙伴API套件，自动驾驶车队有望变现盈利，为Lyft用户提供更快速、更广泛的自动驾驶汽车出行服务。\u003C\u002Fp>\n\u003Cp>Lyft首席执行官David Risher表示：“Mobileye的全栈技术是让自动驾驶车队接入Lyft网络的重要一环。每年有4000万用户通过Lyft出行，随着服役的自动驾驶汽车越来越多，我们将全力打造一个平台，让车队所有者能够满怀信心地将资产投入运营。在通往自动驾驶未来的道路上，我们非常欢迎Mobileye加入，成为我们重要的战略合作伙伴。”\u003C\u002Fp>\n\u003Cp>Mobileye总裁兼首席执行官Amnon Shashua教授表示：“与领先的出行服务提供商和运营商合作是推动自动驾驶出行服务落地的关键之举。将Mobileye Drive™与Lyft在北美地区每年4000万的庞大用户网络相结合，有助于我们的自动驾驶汽车客户通过自动驾驶服务进入新的市场和地区，在发挥自身技术优势的同时，构建可持续发展的业务模式。”\u003C\u002Fp>\n\u003Cp>此次合作是Mobileye实现“为全球乘客提供自动驾驶出行服务”这一雄心壮志中的又一重要里程碑。通过与网约车服务商、车辆运营商和汽车制造商合作，Mobileye已为欧洲和北美的各大“出行即服务”项目提供了自动驾驶汽车技术支持。目前，德国、挪威、克罗地亚和美国的多家出行服务运营商正针对搭载Mobileye Drive™的车辆开展试点。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-11-06T08:00:00.000Z",[65,108,141],{"id":604,"type":14,"url":605,"title":606,"description":607,"primary_tag":59,"author_name":18,"is_hidden":47,"lang":173,"meta_description":607,"image":608,"img_alt":609,"content":610,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":611,"tags":612},275,"mobileyes-camera-vision-beyond-what-you-see","Mobileye 摄像头视觉：超越眼前所见","Mobileye 的ADAS解决方案以及其摄像头视觉，助力实现更安全的道路交通。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F860936e4c2dac83b3ff7e0f6ef066af7_1729509729689.png","Mobileye的不同解决方案平台可由1到13个摄像头组成","\u003Cp>俗语说，眼睛是心灵的窗户。照此说来，摄像头就是通往Mobileye创新技术的门户。从高级驾驶辅助系统（ADAS）到自动驾驶汽车，Mobileye的一切成就都源于我们具有成本效益且可扩展的摄像头，其他传感器以及计算机视觉技术。在本中，我们将探讨Mobileye如何利用这些技术实现更安全的道路交通。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>视觉与自动驾驶的未来\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>摄像头在车身的配置方式、其识别物体的范围以及与Mobileye平台的整合能力，对于开创安全的自动驾驶未来至关重要。考虑到光照或距离等视觉限制因素，Mobileye的摄像头可处理镜头畸变等问题，以帮助驾驶员对道路上的物体做出有效反应。\u003C\u002Fp>\n\u003Cp>Mobileye的不同解决方案平台可由1到13个摄像头组成。这些方案或产品虽然以不同的形式存在，但都有一个共同的目标 - 根据不断变化的路况环境识别并调整驾驶行为。\u003C\u002Fp>\n\u003Cp>凭借我们先进的算法、高性能的硬件和强大的系统大脑--EyeQ™系统集成芯片的支持，我们的解决方案旨在尽可能高效地计算更多数据。换言之，Mobileye的ADAS平台旨在从持续的摄像头输入中提取并标记元素，分析车辆周围的环境，进而基于深度学习技术了解车辆周围的驾驶环境，并提出正确的行驶建议。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F863a173db5dee3a32376c1a9c77847d5_1729510125253.png\" alt=\"\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>安全标配化\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>随着ADAS安全标配化日益成为汽车生产不可或缺的一部分，未来的道路将带来更安全的驾驶体验，且效果有目共睹。许多报告都强调了驾驶辅助技术对减少道路交通事故具有重大影响。例如，\u003Ca href=\"https:\u002F\u002Fnewsroom.aaa.com\u002F2023\u002F08\u002Fyour-autos-safety-net-the-lifesaving-potential-of-driving-assistance-tech\u002F\">美国汽车协会交通安全基金会（AAA Foundation for Traffic Safety）\u003C\u002Fa>在2023年的一份报告中指出，如果将目前可用的驾驶辅助技术作为标配搭载到所有车辆上，美国将在未来30年内预防3700万起的碰撞事故。这凸显了规模化部署高级驾驶辅助系统的巨大潜力，并强调了未来道路安全性的重要性。\u003C\u002Fp>\n\u003Cp>\u003Cstrong>功能概览\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye的高级驾驶辅助系统采用120度800万像素前置摄像头，可确保对各种目标物进行鲁棒性检测和响应。搭载后，驾驶员可以从一系列增强驾驶性能的工具中获益。这些工具包括高级告警系统（AWS）、自动巡航控制系统（ACC）、自动紧急制动（AEB）和车道保持辅助系统，以及车道偏离警告、车道居中（如适用）、交通灯警告系统等。多摄像头配置（如EyeQ™6H芯片与六个摄像头连接，包括前后两个长焦摄像头和四个短距摄像头）则可实现高速公路上“可脱手\u002F需注视”的驾驶体验。\u003C\u002Fp>\n\u003Cp>此外，Mobileye为汽车制造商提供的智能车速辅助系统（ISA）解决方案被公认为首个符合欧盟（EU）最新\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-launches-the-first-camera-only-intelligent-speed-assist-to-meet-new-eu-standards\u002F\">《通用安全法规（GSR）》标准\u003C\u002Fa>的“纯视觉”解决方案。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa6287c9dcde9b68184e9d662880cf40e_1729510161477.png\" alt=\"\" width=\"1518\" height=\"984\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>安全规模化\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>总而言之，配备高级驾驶辅助系统和先进视觉技术的车辆在提高道路安全方面具有巨大的潜力，这一点在Mobileye努力为全球驾驶员提供经济高效、可扩展解决方案的背景下尤为明显。通过利用先进的摄像头视觉和人工智能技术，Mobileye 将引领未来，大幅减少道路交通安全事故，让自动驾驶成为现实。\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-10-21T07:00:00.000Z",[57,71],{"id":614,"type":14,"url":615,"title":616,"description":617,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":617,"image":618,"img_alt":619,"content":620,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":621,"tags":622},268,"mobileyes-imaging-radar-takes-the-wheel","Mobileye 成像雷达引领行业潮流","Mobileye 的成像雷达开创了全新类别","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Faf7696dab443a2b5d1483cef50715beb_1720082783552.jpg","\"Unlike traditional radar systems, Mobileye’s imaging radar has more detailed object detection capabilities\"","\u003Cp>Today, hands-free (but eyes-on) autonomous driving solutions are possible with cameras-only. However, as the mobility industry advances towards more and more autonomous capabilities, key challenges such as reliability and accuracy within intricate driving environments remain. Overcoming them pushes the industry to seek appropriate solutions that prioritize safety for passengers and pedestrians, while also ensuring vehicles can assist drivers and eventually operate independently.  \u003C\u002Fp>\n\u003Cp>To achieve safe autonomous driving capabilities, some in the industry agree that additional sensing modalities beyond cameras are necessary. Mobileye’s approach, known as True Redundancy™, relies on Lidars and Mobileye’s new category of Imaging Radars to create a sensing state that operates independently from the camera-based sensing state.  This allows for different sensor configurations that enhance autonomous capabilities and road safety.  In this approach, our radar technology is emerging as a key tool in enabling autonomous features.  \u003C\u002Fp>\n\u003Cp>On the road, traditional ADAS\u003Cspan class=\"NormalTextRun SCXW236082798 BCX0\"> (Advanced Driving Assistance Systems)\u003C\u002Fspan> radars are effective in simple, less dense environments as they provide sparse information on dynamic objects, but they face challenges in detecting static objects. To overcome these challenges, Mobileye developed its new category of radars that delivers reliable output independently of cameras or lidars. This innovation supports the core principles of the \"True Redundancy\" architecture.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fb3WSAYguMaY?si=gnhNwvXMLpvj3M-g\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe> \u003Cbr \u002F> Radar Technology: From Basic ADAS to Reliable Autonomous Driving, VP Radar Yaniv Avital\u003C\u002Fh6>\n\u003Ch3>Mobileye’s sense \u003C\u002Fh3>\n\u003Cp>From its inception, the Mobileye imaging radar was purposefully designed for autonomous driving capabilities to achieve an AV system that outperforms human perception and decision-making on the road. This advanced imaging has a higher level of dynamic range than traditional radars in challenging scenarios, such as the ability to detect a child 150 meters away on a road when a bus is only 10 meters from the vehicle.  \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ffb0dae917e686f8e58cf1218bfa02486_1720083684181.jpg\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003Cbr \u002F>\"Mobileye developed its new category of radars that delivers reliable output independently of cameras or lidars\" \u003C\u002Fh6>\n\u003Cp>Unlike traditional radar systems with limited levels of object detection, Mobileye’s imaging radar has more detailed object detection capabilities with heightened elevational resolution. This precise detection enables the system to discern objects in unique scenarios, such as stationary vehicles under a bridge. It generates a rich point cloud that facilitates AV driving capabilities such as exact lane assignment and the ability to react quickly at high speeds. The system can detect road users- pedestrians, motorcycles, and cyclists- at a distance of 350 meters and identify potential hazards up to 230 meters away.  \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F3onQ-ZLadOU?si=pbzXFW6ENHC6v3lh\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe> \u003Cbr \u002F>Mobileye's Imaging Radar fits perfectly with the VW ID Buzz, VP of Autonomous Vehicles Johann Jungwirth  \u003C\u002Fh6>\n\u003Ch3>A radar that hits the mark \u003C\u002Fh3>\n\u003Cp>The automotive industry is experiencing a profound shift in radar aimed at advancing and enhancing current capabilities. The Mobileye Radar portfolio features high angular resolution, expansive dynamic range, and substantial sidelobe suppression, enabling detection in challenging situations. This ensures reliable detection of small and low-reflective objects on the highway while driving up to 130km\u002Fhours. The development of the Mobileye imaging radar comes as a commitment from Mobileye to shape the future of the automotive industry by consistently innovating and introducing new categories of expertise.  \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-07-10T07:00:00.000Z",[71,65,128],{"id":624,"type":142,"url":625,"title":626,"description":627,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":627,"image":628,"img_alt":629,"content":630,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":631,"tags":632},269,"volkswagen-group-names-mobileye-among-top-suppliers-for-2024","Mobileye获评大众汽车集团2024年度最佳供应商之一","在7月2日于沃尔夫斯堡举行的颁奖典礼上，Mobileye荣获本年度数字化类别卓越供应商奖。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F79541d286aa8749c024428a757c98333_1720426754034.jpg","Mobileye accepts Volkswagen Group's 2024 award for supplier excellence in Digitalization category.","\u003Cp>JERUSALEM, July 8 — For the 20th year, Volkswagen AG has recognized its best suppliers globally, awarding a select group of 10 firms the prestigious Volkswagen Group Award for 2024. Mobileye (Nasdaq: MBLY) was honored to receive the award for Digitalization at a special event in Wolfsburg on July 2.\u003C\u002Fp>\n\u003Cp>The awards in 10 categories with 40 nominees in total recognized suppliers for outstanding partnership-based cooperation, long-standing practiced values and shared success. The award for Digitalization was presented by Hauke Stars, Member of the Board of Management of Volkswagen AG responsible for IT, and Stefan Kühne, Head of Group Procurement, Interior.\u003C\u002Fp>\n\u003Cp>With Mobileye, “we can offer our customers innovative solutions and comfort features,” said Kühne. “Thanks to its extensive product portfolio, we can create great synergies throughout the VW Group, across different brands, with a real benefit for our products and customers.”\u003C\u002Fp>\n\u003Cp>“The past, present and future success of the Volkswagen Group is only possible with strong partners,” said Dirk Große-Loheide, Member of the Extended Executive Committee and Member of the Volkswagen Brand Board of Management responsible for Procurement.     “The anniversary of the Volkswagen Group Award highlights the importance we place on close, partnership-based cooperation with our suppliers and underscores the esteem that goes with this. The 20th Volkswagen Group Award stands for 20 years of partnership and 20 years of shared success – a perfect combination. As we move forward, we will shape the future with our partners based on this conviction.”\u003C\u002Fp>\n\u003Cp>“We are deeply honored to receive this acknowledgement from Volkswagen AG for our work together toward delivering the future of transportation,” said Prof.Amnon Shashua, Mobileye President and CEO. “It’s a testament to the dedication of our teams and the spirit of innovation in road safety, intelligent driving and autonomous vehicles.”\u003C\u002Fp>\n\u003Cp>Mobileye’s work across the Volkswagen Group ranges from advanced driving assist technologies to developing hands-free and eyes-off driving solutions and autonomous technology across multiple continents.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-07-08T07:00:00.000Z",[141,114,108],{"id":634,"type":142,"url":635,"title":636,"description":637,"primary_tag":77,"author_name":18,"is_hidden":47,"lang":173,"meta_description":637,"image":638,"img_alt":639,"content":640,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":641,"tags":642},267,"verne-unveils-urban-mobility-service-driven-by-mobileye","Verne推出由Mobileye赋能的城市出行服务","在Rimac 园区举办的活动展示了极具特色的汽车设计，以及由 Mobileye Drive™ 赋能的自动驾驶平台、服务理念以及功能。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb190119bb4ff513af98a9e27a3d9ea6d_1719345826270.jpg","Introducing Verne, a new urban autonomous mobility ecosystem using the Mobileye Drive™ platform.","\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"none\">Zagreb, Croatia, June 26, 2024\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"none\"> - Verne, a redefined approach to urban autonomous mobility in cities, has been introduced. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":160,"335559740":276}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Founded by Mate Rimac and two of his closest colleagues and friends from Rimac Group - Marko Pejković, now CEO of Verne, and Adriano Mudri, the designer of Nevera and Chief Design Officer at Verne.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":160,"335559740":276}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">A collaboration with Mobileye, a world leader in autonomy, enables Verne’s autonomous capabilities. The vehicle will be fully autonomous, with a system capable of driving in dynamic urban traffic. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":160,"335559740":276}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">For the past several years, the company has been cooperating with Mobileye. Mobileye's advanced AD platform Mobileye Drive™, will be integrated into the purpose-built Verne vehicle and together with a sophisticated sensor set of cameras, radar and lidar enable the automated driving capabilities. The platform is designed to be highly flexible and scalable, to meet the demands of autonomous driving in a variety of locations, on different road types, under varying weather conditions and even taking local driving styles into account, within its operational design domains. All of this is crucial for Verne’s future plans.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":160,"335559740":276}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">“Around the world, the promise and benefits of autonomous vehicles to road safety and accessibility have started to come into focus,” said Johann “JJ” Jungwirth, Executive Vice President, Autonomous Vehicles at Mobileye.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":160,"335559740":276}\"> \u003C\u002Fspan>\u003Cspan data-contrast=\"none\">“Verne’s innovative new vehicle platform and ecosystem reflect the potential autonomous mobility has to change our expectations of personal transportation. Only with a system like Mobileye Drive™, that’s built for scalability would something like this be possible, and we’re proud to work with Verne on this program.”\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"134233117":false,"134233118":false,"201341983":0,"335559738":0,"335559739":160,"335559740":276}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Named after Jules Verne, the author who imagined humanity's potential through amazing journeys, Verne was formerly known as P3 Mobility. The collaboration with Mobileye was first \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-and-project-3-mobility-announce-collaboration-for-scalable-urban-autonomous-mobility-project\u002F\">\u003Cspan data-contrast=\"none\">announced\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"none\"> in February 2024.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">\u003Cspan class=\"TextRun SCXW233002470 BCX8\" lang=\"EN-GB\" xml:lang=\"EN-GB\" data-contrast=\"none\">\u003Cspan class=\"NormalTextRun SCXW233002470 BCX8\">Visit \u003Ca href=\"https:\u002F\u002Fwww.letsverne.com\u002Fmedia\u002Fverne-journey-to-the-future-of-mobility\">letsverne.com\u003C\u002Fa> to learn more. \u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>","2024-06-26T07:00:00.000Z",[65,78,141],{"id":644,"type":14,"url":645,"title":646,"description":647,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":647,"image":648,"img_alt":649,"content":650,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":651,"tags":652},265,"mobileye-drive-hits-the-road-with-deutsche-bahn","搭载Mobileye Drive™的德国铁路(Deutsche Bahn)车辆开启L4级自动驾驶路测","Mobileye 自动驾驶汽车平台通过了德国公共交通道路测试的严格法规要求","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Faa49509be5d446c6917a5cf97eb4bb85_1719229227061.jpg","Photo: RMV\u002FDB\u002FLandwehr","\u003Cp>In a big push towards an autonomous future, Mobileye's fully autonomous no-driver system (also known as L4) has been \u003Ca href=\"https:\u002F\u002Fwww.deutschebahn.com\u002Fde\u002Fpresse\u002Fpressestart_zentrales_uebersicht\u002FPionierprojekt-KIRA-startet-mit-autonomen-Fahrzeugen-fuer-den-OePNV--12926526\" target=\"_blank\" rel=\"noopener\">announced\u003C\u002Fa> for in-traffic testing in Germany. The Mobileye Drive™ platform was introduced by the country’s Deutsche Bahn (DB) aboard six on-demand shuttles (with no passengers at this point) in Darmstadt and Offenbach in the Rhine-Main area. The KIRA project, as it's called, plans to utilize Mobileye Drive to expand on-demand shuttle service, and to further include rural areas into the Rhein-Main-Verkehrsverbund (RMV) service area. \u003C\u002Fp>\n\u003Cp>This accomplishment speaks volumes to Mobileye’s software and hardware abilities, since the platform had to clear Germany’s \u003Ca href=\"https:\u002F\u002Fwww.kba.de\u002FEN\u002FThemen_en\u002FTypgenehmigung_en\u002FAutonomes_automatisiertes_Fahren_en\u002Fnationale_Betriebserlaubnis_en\u002Fnationale_betriebserlaubnis_node_en.html\" target=\"_blank\" rel=\"noopener\">“national type approval for motor vehicles with a fully automated driving function,”\u003C\u002Fa> or AFGBV, a regulation process that standardizes AV testing and could be used as a blueprint for regulators and institutions beyond Germany.  \u003C\u002Fp>\n\u003Cp>It is worth noting that Mobileye Drive is designed as a “one-size-fits-most\" platform, meaning its agnostic nature allows it to work in different ODDs in certain circumstances. Combined with its regulatory success so far, the platform could be attractive for various projects, as demonstrated by this recent progress as well as by the March announcement of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fvolkswagen-admt-announces-agreement-with-mobileye-for-autonomous-driving\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye and VW’s collaboration on the ID Buzz\u003C\u002Fa>, and by the number of European local governments and providers who are eyeing the platform as a way of reshaping mobility in their cities. Parking congestion, pollution, and ill-suited public transportation services are just a few causes for the growing interest in AV solutions such as Mobileye Drive.  \u003C\u002Fp>\n\u003Ch3>A track record shaping the future \u003C\u002Fh3>\n\u003Cp>The DB collaboration is far from the first time Mobileye's solutions have passed rigorous regulations, and in some cases, it has helped shape the industry’s expectations. Based on extensive research and experience, Mobileye delivers more than its hardware\u002Fsoftware know-how, it also offers a record of fulfilling OEMs’, regulators’, policy makers’ and end users’ demands and expectations, doing so in a manner that is safe, cost-effective and scalable.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F033ee1c99dc649bb62512b0a54c2970e_1719214588031.jpg\" alt=\"Photo: “RMV\u002FDB\u002FLandwehr”\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Ch6>Photo: RMV\u002FDB\u002FLandwehr\u003C\u002Fh6>\n\u003Cp>In early 2024 it was announced that Mobileye Drive will begin \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-and-project-3-mobility-announce-collaboration-for-scalable-urban-autonomous-mobility-project\u002F\" target=\"_blank\" rel=\"noopener\">testing and validation in Zagreb, Croatia\u003C\u002Fa> as part of a collaboration with local company Project 3 Mobility. It has also been tested on the streets of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fvolkswagen-commercial-vehicles-begins-av-testing-with-mobileye-drive\u002F\" target=\"_blank\" rel=\"noopener\">Munich and Austin\u003C\u002Fa> as part of Mobileye's work with the VW group. The company also reinforced our commitment to the highest level of safety regulation at \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-at-ncap24-centering-on-safety\u002F\" target=\"_blank\" rel=\"noopener\">the first Global NCAP Forum\u003C\u002Fa>. So, as the demand from consumers, automakers and regulators for safe mobility solutions constantly grows, Mobileye delivers essential capabilities that drive the automotive industry forward. \u003C\u002Fp>\n\u003Ch3>Street level autonomous MaaS  \u003C\u002Fh3>\n\u003Cp>Autonomous mobility-as-a-service (MaaS) solutions operating on the street, such as on-demand shuttles, have an important role in the future of mobility. Public transport operators and authorities aspire to offer greater access to mobility to more people through cost-efficient services, despite a growing scarcity of drivers. These are pains autonomous MaaS could help alleviate. \u003C\u002Fp>\n\u003Cp>Communities often look for innovative ideas that could reinvigorate public mobility services within their borders while also satisfying regulators’ demands. Mobileye’s progress in Germany reflects an ambitious vision, reimagining how people travel, which is turning into a reality.  \u003C\u002Fp>","2024-06-25T07:00:00.000Z",[78,65,141,122],{"id":654,"type":14,"url":655,"title":656,"description":657,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":657,"image":658,"img_alt":659,"content":660,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":661,"tags":662},264,"mobileyes-base-adas-a-comprehensive-customizable-approach-to-safety","Mobileye Base ADAS：一个全面又可定制的安全方法","我们的Base ADAS功能丰富，采用了广泛的计算机视觉技术，基于我们作为辅助驾驶领域领头人的丰富经验和专业知识开发而成。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7186b74b66c5d002d4347124c3e2fe97_1718711790512.jpg","我们所有ADAS产品的基本组成部分 - 车辆检测系统，正在应用中。","\u003Cp>\u003Cspan style=\"font-size: 12pt;\">您是否注意到，驾驶正在成为驾驶员和机器之间的一项团队协作？近年来，中低端汽车也越来越智能，配备了各种功能来帮助保障车内人员安全。从车道保持辅助系统到盲区检测功能，高级驾驶辅助系统（ADAS）的这些功能正在悄然提升驾驶体验，使汽车变得更加智能。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">文中，我们将重点介绍我们的基础ADAS功能。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>Mobileye: ADAS \u003C\u002Fstrong>\u003Cstrong>先锋\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">在过去二十五年中，Mobileye持续开发并提供计算机视觉技术，实现了诸多ADAS功能。我们首创的高性价比单目摄像头方法（与早期使用的雷达和激光雷达等多摄像头或传感器的驾驶辅助系统形成鲜明对比），结合我们在计算机视觉领域的专业知识，帮助我们的系统降低了成本，极大地促进了高性能ADAS系统在当今道路上的应用。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>ADAS 如何拯救生命\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">世界各地的汽车安全倡导者和监管机构已经认识到ADAS在挽救生命和减少碰撞事故方面的强大作用。美国汽车协会交通安全基金会（\u003Ca href=\"https:\u002F\u002Fnewsroom.aaa.com\u002F2023\u002F08\u002Fyour-autos-safety-net-the-lifesaving-potential-of-driving-assistance-tech\u002F\">AAA Foundation for Traffic Safety\u003C\u002Fa>）在2023年的一份报告中指出，如果将目前可用的驾驶辅助技术作为标配搭载到所有车辆上，美国将在未来30年内预防3700万起的碰撞事故、1400万人的受伤和近25万人的死亡。美国公路安全保险协会（ \u003Ca href=\"https:\u002F\u002Fwww.iihs.org\u002Fmedia\u002F290e24fd-a8ab-4f07-9d92-737b909a4b5e\u002FHvQHjw\u002FTopics\u002FADVANCED%20DRIVER%20ASSISTANCE\u002FIIHS-HLDI-CA-benefits.pdf\">Insurance Institute for Highway Safety\u003C\u002Fa>）的其他研究则发现，自动紧急制动（AEB）可使追尾事故d减少50%，车道偏离警告可使伤害性的碰撞事故减少21%，盲区检测可使造成伤害性的因变道而碰撞的事故减少23%。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>Mobileye Base ADAS \u003C\u002Fstrong>\u003Cstrong>功能\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">现今的消费者希望自己的汽车具有不同级别的ADAS功能，以提高驾驶安全性和舒适性，而Mobileye Base ADAS提供了广泛的计算机视觉技术，有利于汽车制造商将各种功能集成到Mobileye Base-ADAS驾驶平台中。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1a9f83429ad1036fa2c2afec6456b17d_1718711848390.png\" alt=\"\" width=\"650\" height=\"422\" \u002F>\u003Cspan style=\"font-family: tahoma, arial, helvetica, sans-serif; font-size: 10pt;\">搭载了Mobileye ADAS的车辆显示屏，显示包含车辆、行人和道路标记的三维道路视图。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">Mobileye Base ADAS的功能包括\u003Cstrong>前防撞警告\u003C\u002Fstrong>（汽车制造商广泛采用的首批驾驶辅助功能之一，监测车辆前方区域，并在即将发生碰撞时向驾驶员发出警告）和\u003Cstrong>盲区检测系统\u003C\u002Fstrong>（提醒驾驶员注意其视野盲区内的任何障碍物）。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">但是，Mobileye Base ADAS不仅仅能够发出警告，还能够在必要时根据特定车辆的具体情况进行干预，例如自动刹车（\u003Cstrong>自动紧急制动\u003C\u002Fstrong>）或将车辆退回原车道以帮助避免碰撞事故的发生（\u003Cstrong>车道偏离警告\u003C\u002Fstrong>）。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">其他主动功能还包括\u003Cstrong>自适应巡航控制系统\u003C\u002Fstrong>（即使在繁忙的高速公路上也可通过调整车速保持车辆与前车之间的安全距离）、\u003Cstrong>高速公路辅助系统\u003C\u002Fstrong>（将自适应巡航控制系统和车道居中等功能结合，在城际高速公路上实现部分自动巡航）和\u003Cstrong>智能车速辅助系统\u003C\u002Fstrong>（通过被动提醒驾驶员或主动干预降低车速，帮助驾驶员保持在法定车速限制范围内行驶）。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>以广泛的产品技术为基础\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">Mobileye Base ADAS以十多个计算机视觉产品系列为基础，融合了我们数十年来在计算机视觉和自动化级处理器设计领域的领先经验，以及我们在优化性能和能效的定制集成软件方面的专业知识。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">我们的产品系列涵盖各个领域，推动Mobileye成为ADAS领域的领导者。这包括我们在车辆、行人和一般目标物检测方面的开创性方法，以及领先的交通标志识别（TSR）和交通信号灯识别（TFL）以及其他诸多高级感知策略。它们可在车辆运行过程中发出重要的活动指令，以优化驾驶的安全性。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc16a659fce25aacea504349581e5e21d_1718711873770.png\" alt=\"\" width=\"650\" height=\"422\" \u002F>\u003Cspan style=\"font-size: 10pt;\">Mobileye计算机视觉技术实现可视化的行人目标物检测。\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>一系列的驾驶解决方案\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">Mobileye不仅仅提供通用型解决方案。我们以Base ADAS为基础，提供全面的系列驾驶辅助功能。这意味着汽车制造商能够获得符合其需求的定制解决方案，并最终为其无缝扩展以实施自动驾驶解决方案铺平道路。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">下次您在车上体验到驾驶辅助功能带来的便利时，这可能是Mobileye Base ADAS在幕后默默地为您服务。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-06-17T07:00:00.000Z",[57],{"id":664,"type":14,"url":665,"title":666,"description":667,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":667,"image":668,"img_alt":669,"content":670,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":671,"tags":672},263,"maas-for-av-day","深入探究“出行即服务”(Mobility as a Service)","Mobileye如何改变我们的出行方式","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7ba4fe7b30605759e4dd694b95d8b6b3_1717068889627.jpg","“也许是时候将手从方向盘上移开，并托付于自动驾驶出行的愿景了”","\u003Cp>人们热爱旅行、探索和发现。我们经常想象在未来场景下，我们只需设定好路线，然后便可抵达目的地。随着技术的进步和生活方式的改变，也许是时候将手从方向盘上移开，并托付于自动驾驶出行的愿景了。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>“出行即服务”(MaaS) 和自动驾驶\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>自动驾驶系统正在改变我们的通勤和出行方式，以及对公共空间的体感。然而，在探讨穿梭于城市和街道的未来出行时，我们必须将其与今天所熟知的MaaS区分开来。因为目前的公共交通服务、网约车或物流配送服务，都仍然需要由人类来操控。\u003C\u002Fp>\n\u003Cp>就Mobileye而言，我们并不是重造公共交通或出租车，而是在努力使它们实现自动驾驶。我们创新的专有技术和过往久经考验的业绩记录，\u003Cstrong>都可支持现有出行服务实现无人驾驶\u003C\u002Fstrong>，并提高现有基础设施的安全性、成本效益以及可扩展性。可以说，Mobileye不是通过重新发明方向盘，而是依靠经过测试和验证的出行概念 (如“最后一公里”接驳车) ，来解决出行问题的。同时，我们还与不同背景的出行专家合作，共同推动出行愿景的实现。\u003C\u002Fp>\n\u003Cp>目前，Mobileye已经确立了在该领域的核心地位，能够联合汽车主机厂、交通运营商和政府部门通力合作，响应所有参与方的需求，同时始终考虑终端用户，确保其从中获益。\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fcce12f287c437a3e728459b62909cc59_1717069139023.png\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>驾驶解决方案 \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cstrong>Mobileye Drive™\u003C\u002Fstrong>是Mobileye推出的\u003Cstrong>用于公共交通的完全自动驾驶系统\u003C\u002Fstrong>，该系统是Mobileye拥有进一步重塑出行潜力的重要例证。与我们的其他平台和技术一样，Drive系统满足严格的法规和测试要求，甚至在某些情况下，凭借我们丰富的知识能力，还能可以帮助和提升行业期望的标准。\u003C\u002Fp>\n\u003Cp>该平台的“通用”性特点使其能够在不同地区、不同车型上运行，以帮助解决许多城市和社区面临的各类问题。2024年初，Mobileye宣布，Mobileye Drive™将在克罗地亚萨格勒布与当地的Project 3 Mobility公司合作开展测试。此外，作为Mobileye与大众汽车集团合作的一部分，Mobileye Drive™还在慕尼黑和德克萨斯州奥斯汀的道路上进行了测试，并在奥斯陆与Ruter和Holo合作开展了测试。\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan class=\"TextRun SCXW183597323 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW183597323 BCX0\">自动驾驶的深远影响 \u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan class=\"EOP SCXW183597323 BCX0\" data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>全球的大城市间有诸多相似之处：人口众多、拥有大规模的基础设施系统、公共教育体系和促进文化繁荣的各种场所。然而，随着上世纪城市的发展，城市居民对汽车的依赖性也在增加，进而导致了道路日益拥堵、环境污染加剧、驾驶安全系数不断降低等问题。与此同时，每个城市也有其个性所在，无论是大都市、城镇或乡村都有其与众不同的特点和需求。在应对这些挑战时，出行方式也必须不断发展，否则将会成为城市发展的障碍。通过\u003Cstrong>为MaaS基础设施提供自动驾驶解决方案\u003C\u002Fstrong>，我们将重塑任意畅行的出行方式。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>","2024-05-31T07:00:00.000Z",[122,71,108,65],{"id":674,"type":14,"url":675,"title":676,"description":677,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":677,"image":678,"img_alt":679,"content":680,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":681,"tags":682},262,"when-we-say-consumer-av","消费级自动驾驶汽车是指什么？","消费级自动驾驶汽车不仅仅是能够实现自动驾驶的汽车，它还可以提供一系列可能我们可能根本没有意识到的功能。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F0b9fbe78808b5e1596844c568893f989_1716204022667.png","作为一款“可脱手\u002F可脱眼” 系统，Mobileye Chauffeur™意味着我们向完全自动驾驶更进一步。","\u003Cp>\u003Cspan style=\"font-size: 12pt;\">谈起自动驾驶汽车，很多人脑中浮现的是在电影或电视上看到的场景：汽车自动行驶在路上，而主人公坐在车内望向窗外出神，亦或在打盹，反正根本不关心路况。汽车自身保持着行驶状态，而且经常是以高速在行进，有时甚至会悬浮于空中，可能车上没有方向盘，或是可能车内与人在讨论。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Csection>\n\u003Csection>\n\u003Csection>\n\u003Csection>\n\u003Csection>\n\u003Csection>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">科幻片中的自动驾驶汽车为我们描绘了一个美妙的未来，这是一种非常奏效的叙事手段，但对于一项复杂的技术来说，这种呈现方式未免过于单一。银幕上的这些车辆根本没有体现出自动驾驶解决方案的核心价值 - 汽车不是独立在工作，与驾驶者也不存在对抗关系，是人类与机器共同努力的成果。\u003C\u002Fspan>\u003C\u002Fp>\n\u003C\u002Fsection>\n\u003C\u002Fsection>\n\u003C\u002Fsection>\n\u003C\u002Fsection>\n\u003C\u002Fsection>\n\u003C\u002Fsection>\n\u003Ch3>\u003Cspan style=\"font-size: 12pt;\">\u003Cstrong>人机之间：谁是老大？\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">自动驾驶的概念包括多个级别。美国汽车工程师学会（SAE）将其细分为L0（全手动驾驶）到L5（全场景下完全自动驾驶），但自从Amnon Shashua教授提出新的分类标准后，大众更容易通过简单的观察来理解这一概念，这件事就是“谁监督谁”？\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">值得注意的是，使得道路更加安全的自动驾驶功能其实已经存在多年。我们的汽车可以防止驾驶员偏离车道，可以在紧急情况下制动，并提醒我们减速。虽然我们双手握在方向盘上，眼睛注视着道路，但在某种程度上，汽车会在我们驾驶时实时进行监督，并在必要时采取行动。Mobileye高级驾驶辅助系统（ADAS）和云增强驾驶辅助系统（Cloud-Enhanced Driver-Assist™ ）可以让汽车或被动或主动地干预我们的驾驶行为。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">ADAS的终极进化版，也是自动驾驶分类中的下一个级别，开始颠覆驾驶员与汽车之间的角色划分。对应的解决方案是Mobileye SuperVision™，它是一个 “可脱手\u002F需注视” 的平台，意味着在指定的设计运行范围（ODD）内驾驶和操控汽车时，驾驶员需要关注路况并监督车辆。借助该平台的11个摄像头和Mobileye的专有技术，驾驶员可以坐在驾驶位，只在必要时参与驾驶，同时观察路况并监控ODD内的驾驶情况。一些汽车制造商已经基于SuperVision平台为车主提供了高速场景下“可脱手\u002F需注视”的服务，城区场景也将很快跟上。最近，大众汽车集团宣布将加强与Mobileye的合作，双方将基于SuperVision平台，把更多自动驾驶功能引入至量产车项目中。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cspan class=\"TextRun SCXW6534606 BCX0\" lang=\"EN-US\" style=\"font-size: 12pt;\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW6534606 BCX0\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F0b9fbe78808b5e1596844c568893f989_1716204022668.png\" alt=\"\" width=\"1000\" height=\"388\" \u002F>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fh3>\n\u003Ch3>\u003Cspan class=\"EOP SCXW6534606 BCX0\" style=\"font-size: 12pt;\" data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":279}\">\u003Cstrong>人机协同，赢得时间\u003C\u002Fstrong> \u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">除 Mobileye SuperVision 外，大众集团还将 Mobileye Chauffeur™平台应用至其量产车中。作为一款“可脱手\u002F可脱眼”系统，Chauffeur 代表着向完全自动驾驶更进一步。采用 Chauffeur 平台，驾驶员和汽车之间的协同作用和信任度大大提高，因为在 ODD 特定区域和道路（如高速公路和上下匝道）上，驾驶员无需关注路况，可将注意力放在其他事务上，从而赢得时间，同时，在汽车发出需要注意信号时，也可以随时介入。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ciframe src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F935584586?h=960d25a662\" width=\"640\" height=\"360\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\">\u003C\u002Fiframe>\u003Cspan style=\"font-size: 10pt;\">“我们想做一些消费者能够理解的产品，所以首要问题是由谁驾驶？”Shai Shalev-Shwartz教授在彭博社人工智能大会上如此解释自动驾驶汽车的人机协同。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">Mobileye Chauffeur 凭借上述各项技术，成为了一款物有所值的消费级自动驾驶系统，可在各种道路类型和地区运行，适用于不同车型，并已准备好投放至市场。采用这款系统，汽车制造商可以选择通过定制自动驾驶体验的某些要素，来保留其独特品牌和声誉，并保持其原有驾驶风格；同时，得益于 Mobileye REM™技术，这些功能不受地域限制。此外，两个互为备份的独立系统（一个摄像头子系统和一个雷达\u002F激光雷达子系统）为Mobileye真正冗余（True Redundancy™）的方法赋能。将这些元素结合起来就可以模拟其他道路使用者的驾驶风格，打造更高水平的安全自动驾驶体验。\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 12pt;\">这种新水平的协同作用赋予了驾驶员（支配时间）和汽车（支配驾驶）的自主能力。表明了自动驾驶并不仅仅是银幕上可以自行驾驶的未来汽车，还是汽车和驾驶员在驾驶过程中相互协助、相互配合、相互监督、确保行程安全的一系列能力。 \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-05-20T07:00:00.000Z",[65,71],{"id":684,"type":14,"url":685,"title":686,"description":687,"primary_tag":17,"author_name":688,"is_hidden":47,"lang":173,"meta_description":687,"image":689,"img_alt":690,"content":691,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":692,"tags":693},261,"autonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology","自主决策：自动驾驶技术中的偏差-方差权衡","大语言模型和自动驾驶应用中，单一人工智能系统与复合人工智能系统的比较","Prof. Amnon Shashua and Prof. Shai Shalev-Shwartz","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff8167f28d4d800bd54b3e04c9fda5a5d_1715717822589.jpg","Monolithic versus compound AI systems in LLMs and autonomous driving.","\u003Cp>Back in November 2022, the release of ChatGPT garnered widespread attention, not only for its versatility but also for its end-to-end design. This design involved a single foundational component, the GPT 3.5 large language model, which was enhanced through both supervised learning and reinforcement learning from human feedback to support conversational tasks. This holistic approach to AI was highlighted again with the launch of Tesla’s latest FSD system, described as an end-to-end neural network that processes visual data directly “from photons to driving control decisions,\" without intermediary steps or “glue code.\" \u003C\u002Fp>\n\u003Cp>While AI models continue to evolve, the latest generation of ChatGPT has moved away from the monolithic E2E approach. Consider the following example of a conversation with ChatGPT:\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fchatgpt_blog2.png\" alt=\"\" width=\"746\" height=\"448\" \u002F>\u003C\u002Fp>\n\u003Cp>When asked to compute \"what is 3456 * 3678?,\" the system first translates the question into a short Python script to perform the calculation, and then formats the output of the script into a coherent natural language text. This demonstrates that ChatGPT does not rely on a single, unified process. Instead, it integrates multiple subsystems—including a robust deep learning model (GPT LLM) and separately coded modules. Each subsystem has its defined role, interfaces, and development strategies, all engineered by humans. Additionally, 'glue code' is employed to facilitate communication between these subsystems. This architecture is referred to as “\u003Ca href=\"https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\" target=\"_blank\" rel=\"noopener\">Compound AI Systems\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn1\">\u003Csup>1\u003C\u002Fsup>\u003C\u002Fa>” (CAIS).\u003C\u002Fp>\n\u003Cp>Before we proceed, it is crucial to dispel misconceptions about which system architecture is \"new\" or \"traditional\". Despite the hype, the E2E approach in autonomous driving is not a novel concept; it dates back to \u003Ca href=\"https:\u002F\u002Fproceedings.neurips.cc\u002Fpaper\u002F1988\u002Ffile\u002F812b4ba287f5ee0bc9d43bbf5bbe87fb-Paper.pdf\" target=\"_blank\" rel=\"noopener\">the Alvinn project (Pomeraleau, 1989)\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn2\">\u003Csup>2\u003C\u002Fsup>\u003C\u002Fa>. The CAIS approach is also not new, but as we have shown above, it has been adopted by the most recent versions of ChatGPT.\u003C\u002Fp>\n\u003Cp>\u003Cem>This blog aims to explore the nuances between E2E systems and CAIS, by drawing a deep connection to the \u003C\u002Fem>\u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FBias–variance_tradeoff\" target=\"_blank\" rel=\"noopener\">\u003Cem>bias-variance tradeoff\u003C\u002Fem>\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn3\">\u003Cem>\u003Csup>3\u003C\u002Fsup>\u003C\u002Fem>\u003C\u002Fa>\u003Cem> in machine learning and statistics. For concreteness, we focus the discussion on self-driving systems, but the connection is applicable more generally to the design of any AI-based system.\u003C\u002Fem>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The bias-variance tradeoff\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The grand question, driving any school of thought for building a data-driven system, is the \"bias\u002Fvariance\" tradeoff. Bias, also known as “approximation error,\" means that our learning system cannot reflect the full richness of reality. Variance, also known as “generalization error,\" means that our learning system overfits to the observed data, and fails to generalize to unseen examples.\u003C\u002Fp>\n\u003Cp>The total error of the learned model is the sum of the approximation and generalization errors, so in order to reach a sufficiently small error, we need to delicately control both. There is a tradeoff between the two terms since we can decrease the generalization error by restricting the learned model to come from a specific family of models, but this might introduce a bias if the chosen family of models cannot reflect the full richness of reality.\u003C\u002Fp>\n\u003Cp>Based on this background, we can formalize the two approaches for building a self-driving system. A CAIS, or an “engineered system,\" deliberately puts architectural restrictions on the self-driving system for the sake of reducing the generalization error. This introduces some bias. For example, going from \"photons\" to a “sensing state,\" which is a model of reality surrounding the host vehicle—location and measurements of road users, roadway structures, drivable paths, obstacles and so forth—and from there to control decisions introduces bias. The reason for this bias is that the sensing state might not be rich enough to reflect reality to its fullest and therefore the capacity of the system is constrained. In contrast, an E2E network skipping the sensing state step and instead mapping incoming videos directly to vehicle control decisions would not suffer from this bias of the “sensing state abstraction.\" On the other hand, the E2E approach will have a higher generalization error, and the approach advocated by the E2E proponents is to compensate for this error with huge amounts of data, which in turn necessitates a huge investment in compute, storage, and data engines.\u003C\u002Fp>\n\u003Cp>To recap, the E2E approach – in the simplistic form being communicated to the public – is to define a system with zero bias while incrementally reducing variance through volumes of data for training the system with the purpose of gradually eliminating all “corner cases\". In an engineered approach, on the other hand, the system starts with a built-in bias due to the abstraction of the sensing state and driving policy while (further) reducing variance through data fed into separate subsystems with a high-level fusion glue-code. The amount of data required for each subsystem is exponentially smaller than the amount of data required for a single monolithic system.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The devil is in the AI details\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The story, however, is more delicate than the above dichotomy. Starting from the bias element, it’s not that E2E systems will have zero bias—since the neural network resides on an on-board computer in the car, its size is constrained by the available compute and memory. Therefore, the limited compute available in a car introduces bias. In addition, the approximation error of a well-engineered approach is not necessarily excessively large for several reasons. For one, Waymo is clear evidence that the bias of an engineered system is sufficiently small for building a safe autonomous car. Moreover, in a well-engineered system we can add a subsystem that skips some of the abstractions (e.g., the sensing state abstraction) and thus further reduce the bias in the overall system.\u003C\u002Fp>\n\u003Cp>The variance element is also more nuanced. In an \"engineered\" system, the variance is reduced through abstractions (such as sensing state) as well as through the high-level fusion of multiple subsystems. In a pure E2E system, the variance should be reduced only through more and more data. But this process of reducing variance through a data pipeline deserves more scrutiny. Take the notion of mean time between failures (MTBF) and let's assume that failures are measured by critical interventions. Let's take MTBF as a measure of readiness of a self-driving vehicle to operate in an \"eyes-off\" manner. In Mobileye's engagement with car makers the MTBF target is 10\u003Csup>7\u003C\u002Fsup> hours of driving. Just for reference, \u003Ca href=\"https:\u002F\u002Fwww.teslafsdtracker.com\u002Fhome\" target=\"_blank\" rel=\"noopener\">public data\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn4\">\u003Csup>4\u003C\u002Fsup>\u003C\u002Fa> on Tesla's recent V12.3.6 version of FSD stands around 300 miles per critical intervention which amounts to an MTBF of roughly 10 hours – which is 6 orders of magnitude away from the target MTBF. Let's assume that somehow the MTBF has reached 10\u003Csup>6\u003C\u002Fsup> hours and we wish merely to improve it by one order of magnitude in order to reach 10\u003Csup>7\u003C\u002Fsup> hours. How much data would we need to collect? This is a question about the nature of the long tail of a distribution. To make things concrete, assume we have 1 million vehicles on the road driving one hour per day and the data in question is event-driven—i.e., when an intervention of the human driver occurs then a recording of some time around the event is being made and sent to the car maker for further training. An intervention event represents a \"corner case\" and the question of the long tail is how those corner cases are distributed. Consider the following scenario where B is the set of “bad” corner cases. An example of a heavy tail distribution is when B = {b_1,...,b_{1000}} and the probability of b_i to occur is 10\u003Csup>-9\u003C\u002Fsup> for every i. Even if we assume that when a corner case is discovered then we can somehow retrain the network and fix that corner case, without creating any new corner cases, we must knock off around 900 corner cases so that P(B) = 10\u003Csup>-7\u003C\u002Fsup>. Because the MTBF is 10\u003Csup>6\u003C\u002Fsup> then we encounter one corner case per day. It follows that we will need around 3 years to get this done. The point here is that no one knows how the long tail is structured - we gave one possible long tail scenario but in reality it could be worse or it could be better. As mentioned previously, while there is a precedent that the bias of an engineered system is sufficient for building a safe autonomous car (e.g. Waymo), there is still no precedent that reducing variance solely by a recurring data engine is sufficient for building a safe autonomous car.\u003C\u002Fp>\n\u003Cp>It follows that to solely double-down on a data pipeline might be too risky. What else can be done in the E2E approach for reducing variance? To lead into it lets ask ourselves:\u003C\u002Fp>\n\u003Cp>\u003Cbr \u002F>  (i) Why does Tesla FSD have a sensing state in their display? The idea of an E2E system is you go from \"photons to control\" while skipping the need to build a sensing state. Are they doing that solely for the purpose of notifying the driver what the system “sees?\" Or does it have a more tacit purpose?\u003C\u002Fp>\n\u003Cp>\u003Cbr \u002F>  (ii) Why has Tesla \u003Ca href=\"https:\u002F\u002Fwww.theverge.com\u002F2024\u002F5\u002F7\u002F24151497\u002Ftesla-lidar-bought-luminar-elon-musk-sensor-autonomous\" target=\"_blank\" rel=\"noopener\">purchased 2,000 lidars\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn5\">\u003Csup>5\u003C\u002Fsup>\u003C\u002Fa> from Luminar? Presumably for creating ground truth (GT) data for a supervised training. But why?\u003C\u002Fp>\n\u003Cp>The two riddles are of course related.\u003C\u002Fp>\n\u003Cp>Imagine an E2E network comprising of a backbone and two heads - one for outputting vehicle control and the other for outputting the sensing state. Such a network is still technically E2E (from photons to control) but also has a branch for sensing state. The sensing state branch needs to be trained in a supervised manner from GT data, hence the need for 2,000 lidars. The real question is whether the GT data can be created automatically without manual labeling. The answer is definitely yes because Mobileye does that. We have an \"auto-GT\" pipeline for training for sensing state. And, the reason why you would want a branch outputting the sensing state is not merely for displaying the sensing state to the driver. The real purpose of the sensing state branch is to reduce the variance (and more importantly the sample complexity of the system which is the amount of data needed for training) of the system through the \"multi-tasking\" principle. We addressed this \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fpdf\u002F1604.06915\" target=\"_blank\" rel=\"noopener\">back in 2016\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn6\">\u003Csup>6\u003C\u002Fsup>\u003C\u002Fa> and gave as an example an agricultural vehicle on the side of the road. The probability of observing a rare vehicle type somewhere in the image is much higher than the probability of observing such a vehicle immediately in front of us. Therefore, without a sensing state head (that detects the rare vehicle type on the shoulder even if it is not affecting the control of the host vehicle) one would need much more data in order to see such a vehicle immediately in front us, which affects the control of the host vehicle. What this comes to show is that the sensing state abstraction is important as it hints to the neural network that a good approach for giving correct control commands may need to understand the concept of vehicles and to detect all of the vehicles around us. Importantly, this abstraction is learned through supervised learning, using GT data which is created automatically (by a well-engineered offline system).\u003C\u002Fp>\n\u003Cp>Another component of the popular E2E narrative is \"no glue-code\" in the system. No glue-code means no bugs being entered by careless engineers. But this too is a misconception. There is glue-code – not in the neural network but in the process of preparing the data for the E2E training. One clear example is the automatic creation of GT data. Elon Musk gave such an example – that of human drivers not respecting stop signs as they should and instead perform a \u003Ca href=\"https:\u002F\u002Fwww.teslarati.com\u002Ftesla-rolling-stop-markey-blumenthal-letter-elon-musk\u002F\" target=\"_blank\" rel=\"noopener\">rolling stop\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn7\">\u003Csup>7\u003C\u002Fsup>\u003C\u002Fa>. The rolling stop events had to be taken out of the training data so that the E2E system would not adopt bad behavior (as it is supposed to imitate humans). In other words, the glue-code (and bugs) are shifting from the system code to data curation code. Actually, it may be easier to detect bugs in system code (at least there are existing methodologies for that) than to detect bugs in data curation.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Don’t get into the way of analytic solutions\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Finally, we would like to point out that when we have an analytical solution for a problem, it is certainly not better to use a purely E2E machine learning method. For example, the long multiplication exercise mentioned at the start of this blog highlights the fact that ChatGPT+, rightfully so, uses a good old calculator for the task and does not attempt to \"learn\" how to do long multiplication from a massive amount of data. In the driving policy stack (determining the actions the host vehicle should do and outputting the vehicle control commands) there are numerous analytical calculations. Knowing when to replace \"learning\" with analytical calculations is crucial for variance reduction but also for transparency, explainability and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fmobileye-dxp-as-a-novel-approach\u002F\">tuning\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn8\">\u003Csup>8\u003C\u002Fsup>\u003C\u002Fa> (imitating humans is somewhat problematic because many of them are not good drivers).\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Final words\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>AI is progressing at a remarkable pace. The revolution of foundation models of the like of ChatGPT began as a monolithic E2E model (back in 2022) whereas today it evolved into \u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002Fpricing\" target=\"_blank\" rel=\"noopener\">ChatGPT+\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn9\">\u003Csup>9\u003C\u002Fsup>\u003C\u002Fa> which represents an engineered solution built on top of AI components including the base LLM, plugins for retrieval, code interpreter and image generation tools. There is much to be said about the claims that the future of AI is \u003Ca href=\"https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\" target=\"_blank\" rel=\"noopener\">shifting\u003C\u002Fa>\u003Ca href=\"..\u002F..\u002Fblog\u002Fautonomous-decisions-the-bias-variance-tradeoff-in-self-driving-technology\u002F#_edn10\">\u003Csup>10\u003C\u002Fsup>\u003C\u002Fa> from monolithic models to compound AI systems. We believe that this trend is even more important given the extremely high accuracy requirement for, and safety-critical aspect of, autonomous driving.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cu>References:\u003C\u002Fu>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn1\" href=\"#_ednref1\" name=\"_edn1\">\u003C\u002Fa>\u003Csup class=\"ref\">1\u003C\u002Fsup> Compound AI Systems\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\">https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn2\" href=\"#_ednref2\" name=\"_edn2\">\u003C\u002Fa>\u003Csup class=\"ref\">2\u003C\u002Fsup> the Alvinn project (Pomeraleau, 1989)\u003Cbr \u002F>\u003Ca style=\"word-wrap: break-word;\" href=\"https:\u002F\u002Fproceedings.neurips.cc\u002Fpaper\u002F1988\u002Ffile\u002F812b4ba287f5ee0bc9d43bbf5bbe87fb-Paper.pdf\">https:\u002F\u002Fproceedings.neurips.cc\u002Fpaper\u002F1988\u002Ffile\u002F812b4ba287f5ee0bc9d43bbf5bbe87fb-Paper.pdf\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn3\" href=\"#_ednref3\" name=\"_edn3\">\u003C\u002Fa>\u003Csup class=\"ref\">3\u003C\u002Fsup> Bias-variance tradeoff\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FBias–variance_tradeoff\">https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FBias–variance_tradeoff\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn4\" href=\"#_ednref4\" name=\"_edn4\">\u003C\u002Fa>\u003Csup class=\"ref\">4\u003C\u002Fsup> Public data on Tesla's recent V12.3.6 version of FSD\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fwww.teslafsdtracker.com\u002Fhome\">https:\u002F\u002Fwww.teslafsdtracker.com\u002Fhome\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn5\" href=\"#_ednref5\" name=\"_edn5\">\u003C\u002Fa>\u003Csup class=\"ref\">5\u003C\u002Fsup> Tesla purchased 2000 Lidars from Luminar\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fwww.theverge.com\u002F2024\u002F5\u002F7\u002F24151497\u002Ftesla-lidar-bought-luminar-elon-musk-sensor-autonomous\">https:\u002F\u002Fwww.theverge.com\u002F2024\u002F5\u002F7\u002F24151497\u002Ftesla-lidar-bought-luminar-elon-musk-sensor-autonomous\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn6\" href=\"#_ednref6\" name=\"_edn6\">\u003C\u002Fa>\u003Csup class=\"ref\">6\u003C\u002Fsup> On the Sample Complexity of End-to-end Training vs. Semantic Abstraction Training \u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fpdf\u002F1604.06915\">https:\u002F\u002Farxiv.org\u002Fpdf\u002F1604.06915\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn7\" href=\"#_ednref7\" name=\"_edn7\">\u003C\u002Fa>\u003Csup class=\"ref\">7\u003C\u002Fsup> Human drivers not respecting stop signs as they should and instead perform a rolling stop\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fwww.teslarati.com\u002Ftesla-rolling-stop-markey-blumenthal-letter-elon-musk\u002F\">https:\u002F\u002Fwww.teslarati.com\u002Ftesla-rolling-stop-markey-blumenthal-letter-elon-musk\u002F\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn8\" href=\"#_ednref8\" name=\"_edn8\">\u003C\u002Fa>\u003Csup class=\"ref\">8\u003C\u002Fsup> Mobileye DXP as a novel approach \u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fmobileye-dxp-as-a-novel-approach\u002F\">https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fmobileye-dxp-as-a-novel-approach\u002F\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn9\" href=\"#_ednref9\" name=\"_edn9\">\u003C\u002Fa>\u003Csup class=\"ref\">9\u003C\u002Fsup> ChatGPT+\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fopenai.com\u002Fchatgpt\u002Fpricing\">https:\u002F\u002Fopenai.com\u002Fchatgpt\u002Fpricing\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp style=\"font-size: 1.3rem; margin-top: 1.4rem;\">\u003Ca id=\"_edn10\" href=\"#_ednref10\" name=\"_edn10\">\u003C\u002Fa>\u003Csup class=\"ref\">10\u003C\u002Fsup> Future of AI is shifting from monolithic models to compound AI systems\u003Cbr \u002F>\u003Ca href=\"https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\">https:\u002F\u002Fbair.berkeley.edu\u002Fblog\u002F2024\u002F02\u002F18\u002Fcompound-ai-systems\u002F\u003C\u002Fa>\u003C\u002Fp>","2024-05-15T07:00:00.000Z",[50,65],{"id":695,"type":14,"url":696,"title":697,"description":698,"primary_tag":121,"author_name":18,"is_hidden":47,"lang":173,"meta_description":698,"image":699,"img_alt":700,"content":701,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":702,"tags":703},260,"mobileye-at-ncap24-centering-on-safety","Mobileye 亮相 NCAP24: 以安全为本","全球NCAP首届世界大会为安全评级机构与Mobileye的共同价值观提供了论坛","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fcb6d41308d3f2f740ef7f3870309c414_1713723171460.jpg","Mobileye at NCAP24","\u003Cp>Since its inception over two decades ago, Mobileye has set its eyes on a clear goal – making our roads safer though advanced technology. They were a small team led by prof. Amnon Shashua when they aimed to revolutionize the driver-assist field using a single camera and a system-on-a-chip. Now, approximately 170 million EyeQ™ chips worldwide later, as the company reaches new technological heights with the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-eyeq6-lite-launches-to-speed-adas-upgrades-worldwide\u002F\" target=\"_blank\" rel=\"noopener\">launch of the EyeQ6 Lite SOP\u003C\u002Fa> - its latest innovative computer vision and machine learning technology, Mobileye continues to invest in the core product that built its foundation – Mobileye Base ADAS™. \u003C\u002Fp>\n\u003Cp>Automotive safety advocates and regulators around the world have recognized the power of Advanced Driver-Assistance System, with research showing it helps to prevent car accidents and to save lives. Mobileye ADAS includes such features as Automatic Cruise Control (ACC), lane centering abilities, and lane departure warning. It also meets GSR ISA requirements in Europe and offers NCAP tested functions including automatic emergency braking (AEB), forward collision warning, traffic sign recognition, and lane keep assist.  \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F268fb7695a78def10782054ce8a5cacd_1713723444872.jpg\" alt=\"NCAP Functions\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Cp>Mobileye’s driver-assist solutions are designed to help create safer roads and can pass rigorous regulation testing. Achieving the coveted 5-star rating from Euro NCAP demands increasingly sophisticated features, prompting the development of new capabilities, a challenge which Mobileye has met with its innovative solutions. \u003C\u002Fp>\n\u003Cp>As the scope of compliance and safety functions continues to broaden, and in keeping with new and sophisticated technologies that help saving lives around the world, Mobileye maintains a proven track record of delivering these essential capabilities and tools to the automotive industry. We combine our highest performing and cost-effective hardware\u002Fsoftware combination, leveraging our expertise in machine learning for ADAS, to remain at the forefront of advancing automotive technology. \u003C\u002Fp>\n\u003Cp>This year, Mobileye is proudly sponsoring \u003Ca href=\"https:\u002F\u002Fwww.globalncap.org\u002Fncap24\" target=\"_blank\" rel=\"noopener\">NCAP24\u003C\u002Fa> – a new event shaping \"the future of safer vehicles and sustainable mobility,” bringing together various stakeholders with the shared goal of making roads safer. \u003C\u002Fp>\n\u003Cp>NCAP24 is yet another testament to Mobileye’s driven by vision spirit, participating and leading multi stakeholders in creating real change with life-saving technology. \u003C\u002Fp>","2024-04-21T07:00:00.000Z",[57,122,108,141],{"id":705,"type":14,"url":706,"title":707,"description":708,"primary_tag":56,"author_name":18,"is_hidden":47,"lang":173,"meta_description":708,"image":709,"img_alt":710,"content":711,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":712,"tags":713},259,"mobileye-isa-system-picked-by-top-oem","顶级汽车制造商选择Mobileye纯视觉ISA系统","这一节省成本的解决方案超越了严格的欧盟GSR标准，已由一家总部在欧盟的大型汽车制造商整合入其将在土耳其销售的车辆上。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb86a31dd7d3831dff5fe447ffed653f5_1713421057360.jpg","ISA systems are designed to help drivers stay within the legal speed limit","\u003Cp>\u003Cspan data-contrast=\"auto\">A major EU-based automaker is incorporating Mobileye’s vision-only intelligent speed assist (ISA) solution onto its vehicles for sale in Turkey, after the system showed great success both in identifying signs in complicated environments and in recognizing and adjusting to toll booths. This new progress follows six independent labs in five different European countries already having tested Mobileye’s ISA software and confirmed that it meets, and at times even exceeds, the European Union General Vehicle Safety Regulation’s (GSR) requirements. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">The GSR sets July 2024 as the month by which all new passenger vehicles sold in the EU must meet specific ISA requirements. Several automakers have tested Mobileye’s EyeQ™4-based ISA solution and found that it successfully meets all such requirements, with the software now certified for use in all 27 EU countries, Israel, Norway, Switzerland, and Turkey.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cstrong>\u003Cspan class=\"TextRun SCXW47544679 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun CommentStart SCXW47544679 BCX0\">\u003Ciframe src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F936229338?title=0&byline=0\" width=\"425\" height=\"350\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\" data-mce-fragment=\"1\">\u003C\u002Fiframe>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cstrong>\u003Cspan class=\"TextRun SCXW47544679 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun CommentStart SCXW47544679 BCX0\">Mapless\u003C\u002Fspan> \u003Cspan class=\"NormalTextRun SCXW47544679 BCX0\">“futureproof” \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW47544679 BCX0\">savings\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW47544679 BCX0\"> \u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan class=\"EOP SCXW47544679 BCX0\" data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cbr \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\">\u003Cspan class=\"EOP SCXW47544679 BCX0\" data-ccp-props=\"{}\">The Mobileye ISA solution is unique in both its technology and in reducing manufacturer costs. It is the first vision-only ISA system, which means no third-party maps are used, thus reducing costs. In addition, our solution in some cases surpasses the GSR standards, which require all new vehicles to be able to automatically identify speed limits.   \u003Cbr \u002F>\u003Cbr \u002F>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9e05a0a421b3b65084a37d54aa9931b9_1713421857616.jpg\" alt=\"EU Flag\" width=\"600\" height=\"389\" \u002F>\u003Cbr \u002F>\u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>Automakers already incorporating the Mobileye EyeQ4 and later platforms containing the ISA solution into their vehicles can meet the new standards merely by updating the EyeQ’s existing software, without any new hardware requirements. Additionally, the Mobileye ISA system can be trained to detect new signs that may be added to the GSR traffic signs catalog. These capabilities should serve to “futureproof” the technology for up to 14 years after a vehicle model is launched, as well as enable those vehicles to detect new signs with no need to change version or do any re-validation or regression testing.   \u003C\u002Fp>\n\u003Cp>Mobileye ISA also offers driver-assistance features beyond the letter of the GSR. For example, it detects conditional or supplementary signs and recognizes nearing toll booths. \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Reducing cost, not safety level \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>ISA systems are designed to help drivers stay within the legal speed limit either by passively alerting them or by actively intervening to reduce vehicle speed. According to the regulation, ISA systems have to work anywhere in the European Union territory; this makes driving safer but, unfortunately, can also drive-up manufacturing costs which might eventually fall at the consumer's feet.  \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F092f9d1742886c5cc226f5996d21a773_1713422144538.jpg\" alt=\"\" width=\"600\" height=\"389\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Most ISA solutions currently on the market rely on a mixture of technologies that includes traffic sign recognition (TSR) abilities, a mapping database, and GPS, among others. This combination often requires use of third-party services (e.g. the mapping database) that not only come with their own price tag but could also be less reliable as they lack real-time adjustment (for example, they are unaware of ad-hoc speed limits due to road construction). This is where Mobileye’s vision-only ISA system makes a particular financial impact: it doesn’t rely on any third-party providers, while still offering proven features that meet and, in some cases, exceed GSR requirements \u003C\u002Fspan>\u003Cem>\u003Cspan data-contrast=\"auto\">and\u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-contrast=\"auto\"> react to changing events on the road. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye’s solution is the type of technological innovation that helps OEMs protect their vehicles’ users. Mobileye’s “built for safety - built for scale” mantra serves as the right approach at the right time to help carmakers and policymakers create a safer future. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>","2024-04-18T07:00:00.000Z",[57,141,108],{"id":715,"type":142,"url":716,"title":717,"description":718,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":718,"image":719,"img_alt":720,"content":721,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":722,"tags":723},258,"mobileye-eyeq6-lite-launches-to-speed-adas-upgrades-worldwide","Mobileye重磅发布最新EyeQ™6L芯片，加速全球高级驾驶辅助系统升级","最新一代开创性系统集成芯片及配套软件，将为4600万辆汽车提供更多安全和便利功能。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ffe5c0db6e4aa39bad155323a8a6a3e4c_1713310858467.jpg","The EyeQ6 Lite and an 8-megapixel camera that enables broader data for ADAS applications","\u003Cp>Mobileye announced today it has delivered the first production-candidate hardware and software of its new EyeQ™6 Lite system-on-chip to its customers, which will power advanced driver-assistance systems in multiple models launching this year. This milestone marks the beginning of the EyeQ6 family, with the EyeQ6L already set to be installed in 46 million vehicles over the next few years – becoming the global auto industry’s ADAS solution of choice from the start. It will be followed by the EyeQ6 High advanced system-on-chip, on track to launch in early 2025.\u003C\u002Fp>\n\u003Cp>The EyeQ6L builds on Mobileye’s 25 years of pioneering work in automotive safety, computer vision, chip design and machine learning, which enabled the widespread adoption of automatic forward collision warning and emergency braking across the automotive industry. To date, more than 170 million vehicles worldwide have been built with Mobileye technology inside.\u003C\u002Fp>\n\u003Cp>\"With the EyeQ6L, the team has once again delivered a system-on-chip that enables sizable gains in performance, safety, and comfort features to our customers, without a material increase in price, as has been our pledge for many years,\" said Prof. Amnon Shashua, founder and CEO of Mobileye. “We know the power of ADAS to save lives and reduce traffic accidents globally, and with the EyeQ6L, automakers can meet regulatory requirements while delivering meaningful technology improvements to end users.”\u003C\u002Fp>\n\u003Cp>Many studies have found notable safety benefits from key ADAS technologies. The \u003Ca href=\"https:\u002F\u002Fnewsroom.aaa.com\u002F2023\u002F08\u002Fyour-autos-safety-net-the-lifesaving-potential-of-driving-assistance-tech\u002F\" target=\"_blank\" rel=\"noopener\">AAA Foundation for Traffic Safety has said\u003C\u002Fa> technologies available today could prevent 37 million crashes, 14 million injuries and nearly 250,000 deaths in the United States over the next 30 years if made standard on all vehicles. \u003Ca href=\"https:\u002F\u002Fwww.iihs.org\u002Fmedia\u002F290e24fd-a8ab-4f07-9d92-737b909a4b5e\u002FHvQHjw\u002FTopics\u002FADVANCED%20DRIVER%20ASSISTANCE\u002FIIHS-HLDI-CA-benefits.pdf\" target=\"_blank\" rel=\"noopener\">Other research by the Insurance Institute for Highway Safety\u003C\u002Fa> has found that automatic emergency braking reduces front to rear crashes by 50 percent, and injury crashes by 57 percent, while pedestrian AEB cuts crashes by 27 percent and lane-departure warning reduces injury crashes by 21 percent. While about 7 out of 10 new vehicles worldwide are sold with some level of ADAS technology today, that share is lower in many high-volume markets, including China and India, where the full benefit of ADAS remains untapped.\u003C\u002Fp>\n\u003Cp>Automotive safety advocates and regulators around the world have recognized the power of ADAS to save lives and reduce crashes, and the EyeQ6L was designed to meet not only current standards but future ones as well, from the European Union’s General Safety Regulation and new car assessment programs (NCAPs) in dozens of countries, to U.S. regulations and insurance industry assessments, as well as ASIL-B level safety.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa9fd33835525070d6bfd807e5effc0fc_1713311058227.png\" alt=\"\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Benefits and Features for Drivers Worldwide\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>The EyeQ6L combines Mobileye’s experience in designing automotive-grade processors and artificial intelligence\u002Fmachine learning algorithms with its expertise in custom integrated software that optimizes performance and energy efficiency. Designed with two CPU cores and five high-compute density accelerators, the EyeQ6L provides 4.5 times more computing power than the EyeQ4M, at roughly half the physical space, with similar levels of power consumption – key elements for automotive use. The chip also improves pixel segmentation capabilities through a dynamic neural network with more than double the point density of EyeQ4M.\u003C\u002Fp>\n\u003Cp>The EyeQ6L enables systems that can capture much more detailed data of the world around them with an 8-megapixel camera and 120-degree lateral field of vision, a 20-degree increase over the camera available with the EyeQ4M. The increased vision data also powers new environmental sensing and range capabilities; with EyeQ6L, vehicles can sense when roads are dry, wet or snowy and adjust emergency stopping distances accordingly, as well as detecting many types of objects at greater distances. The camera and processor updates enable several advancements to automatic emergency braking systems, such as an increased ability to monitor and react to other vehicles, pedestrians, or random road objects in complex situations – like a piece of furniture falling off a truck in an adjacent lane, or a cow sitting in the vehicle’s path.\u003C\u002Fp>\n\u003Cp>Mobileye has been an industry leader in pedestrian and cyclist detection, and the EyeQ6 builds on that record through new sensing and software capabilities, improving vehicle response. The hardware and software power of EyeQ6L also enables upgrades to functions such as lane-keeping assist and automated lane change systems that can find not only the center of the current lane, but the next two lanes on either side of travel. Automated cruise control systems using EyeQ6 can now sense an upcoming curve and slow the vehicle as needed for passenger comfort.\u003C\u002Fp>\n\u003Cp>Last year, Mobileye rolled out Intelligent Speed Assist upgrades for its EyeQ4M that could meet European standards for automatically reading and understanding speed limit signs – whether permanent or temporary signs. The EyeQ6L goes a step further by reading key text phrases on signage, like a speed limit that’s only active on weekday mornings, or a city entrance sign that implies a lower speed limit. All this uses only computer vision and on-board software – not GPS or other external data sources.\u003C\u002Fp>\n\u003Cp>“This is only the start of our journey with the EyeQ6L,” said Nimrod Nehushtan, Executive Vice President of Business Development and Strategy for Mobileye. “Through continuous development, tools like EyeQ Kit™ and the ability to use over-the-air software updates, the EyeQ6 family has the ability to serve the industry for many years to come, making driving safer and more convenient for millions.”\u003C\u002Fp>\n\u003Cp>The other member of the EyeQ6 family, the EyeQ6 High, is set to enter series production early next year and power all of Mobileye’s advanced automated driving technologies – from Mobileye SuperVision™ for hands-off, eyes-on driving, through Mobileye Chauffeur™ for hands-off, eyes-off driving, and Mobileye Drive™ autonomous driving in specified domains.\u003C\u002Fp>","2024-04-17T07:00:00.000Z",[141,57,93,108],{"id":725,"type":142,"url":726,"title":727,"description":728,"primary_tag":140,"author_name":18,"is_hidden":47,"lang":173,"meta_description":728,"image":729,"img_alt":730,"content":731,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":17,"publish_date":732,"tags":733},256,"automated-driving-volkswagen-group-intensifies-collaboration-with-mobileye","大众汽车集团与Mobileye进一步深化合作","大众汽车和Mobileye将基于Mobileye SuperVision™和Mobileye Chauffeur™平台为量产车带来全新的自动驾驶功能。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fbfa4e22ac1493ebbc99323bb415a2f7e_1710795224355.jpg","Logos of the Volkswagen Group and Mobileye.","\u003Cp>\u003Cstrong>Wolfsburg\u002FJerusalem, March 20, 2024 – \u003C\u002Fstrong>The Volkswagen Group is welcoming further strategic collaboration and significantly accelerating its development efforts in the field of automated and autonomous driving. Now, Volkswagen is intensifying its partnership with Mobileye in the domain of automated driving. Together, the two companies will bring new automated driving functions to series production. Mobileye is to provide technologies for partially and highly automated driving based on its Mobileye SuperVision and Mobileye Chauffeur platforms.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa12beac8db6dc870c38f86797bcdc466_1710847421403.jpg\" alt=\"\" width=\"1504\" height=\"420\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cem>Volkswagen Group and Mobileye will work on three levels of technology; hands-free, eyes-on driving; hands-free, eyes-off systems and fully autonomous vehicles.\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>In the future, the Volkswagen Group’s Audi, Bentley, Lamborghini and Porsche brands will use these technologies to rapidly introduce new premium-oriented driving functions to their model portfolios across powertrain types. These include advanced assistance systems for highway and urban driving, such as automated overtaking on multilane highways in permitted areas and conditions, as well as automatic stopping at red lights and stop signs, and support in intersections and roundabouts. In addition, Mobileye is set to supply further technology components for automated driving to Volkswagen Commercial Vehicles. In the long term, the Volkswagen Group aims to rely on its own complete in-house system: Partnerships with Bosch and Qualcomm, as well as with Horizon Robotics in China, will be continued with a focus. All driver assistance systems are to be based on the software architectures developed by Volkswagen’s Cariad company.\u003C\u002Fp>\n\u003Cp>“Our goal is to offer our customers throughout the world outstanding products with cutting-edge technology,” says Oliver Blume, CEO of the Volkswagen Group and Porsche AG. \"New automated driving functions will significantly boost convenience and safety. These functions, which will be tailored to our brands and products, will make every trip a personal, individual experience. In Mobileye, we have an additional first-class partner to shape this automotive future together.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa12beac8db6dc870c38f86797bcdc466_1710847421407.jpg\" alt=\"\" width=\"1200\" height=\"675\" \u002F>\u003C\u002Fp>\n\u003Cp>The Volkswagen Group and Mobileye have been collaborating on advanced driver assistance systems for some time. In the future, Mobileye is set to also provide technologies for driving functions with enhanced Level 2 capabilities (\"partially automated driving\") within the Volkswagen Group. When such functions will be available, and subject to its operational design domain, drivers will be allowed to take their hands off the steering wheel but must remain attentive to the traffic and ready to intervene at any time. In addition, Volkswagen is working with Mobileye on Level 3 functions (\"highly automated driving.\") At this level, the vehicle will be able to temporarily take over driving tasks in specified areas; drivers are not required to monitor the system continuously. Volkswagen and Mobileye are jointly developing these technologies into cross-brand systems.\u003C\u002Fp>\n\u003Cp>In addition, Mobileye will also offer certain production-ready functions for the new E3 1.2 premium-oriented software architecture. This new architecture is managed by Cariad and will be gradually implemented within the group by Audi, Bentley, Lamborghini, and Porsche. As part of their product strategy, the brands decide on the specific deployment of the systems and tailor them to a brand-specific driving experience.\u003C\u002Fp>\n\u003Cp>Furthermore, the Volkswagen Commercial Vehicles brand is set to be supplied by Mobileye with software and hardware to achieve Level 4 (\"fully automated driving\"). Volkswagen ADMT, a Volkswagen Group subsidiary, will implement these components in fully electric development platforms based on the Volkswagen ID. Buzz. The goal of Volkswagen ADMT is to bring self-driving ID. Buzz vehicles to series production for mobility and transportation services.\u003C\u002Fp>\n\u003Cp>“We are proud to work closely with Volkswagen Group to make the future of driving safer, more automated and more rewarding,“ says Prof. Amnon Shashua, President and CEO of Mobileye. “Through these programs, we see Volkswagen Group leading the industry in putting AI-powered advanced driver assistance technology in the hands of consumers globally and developing new services with autonomous vehicles.“\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Volkswagen Group sharpens its development strategy for driver assistance systems\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Volkswagen is further clarifying the division of development tasks for driver assistance systems between in-house innovation and collaboration for its new E\u003Csup>3\u003C\u002Fsup> 1.2 and E\u003Csup>3\u003C\u002Fsup> 2.0 software architectures. This will streamline processes and reduce complexity. With strategic partners such as Mobileye, Volkswagen Group is accelerating the rapid delivery of the premium-oriented E\u003Csup>3\u003C\u002Fsup> 1.2 architecture, while, in the long term, the Group will rely on its own complete in-house (‘stack’) for automated driving across all brands.\u003C\u002Fp>\n\u003Cp>For the future E\u003Csup>3\u003C\u002Fsup> 2.0 architecture, the Volkswagen Group plans to forge ahead and consolidate its resources and development responsibilities within Cariad, its software company. Together with Bosch, Cariad aims to develop the Group's proprietary complete system. This system will be integrated into the future all-electric, fully digital, and highly scalable mechatronics Group platform, the Scalable Systems Platform (SSP)\u003C\u002Fp>\n\u003Cp>“We are sharpening our development strategy for driver assistance systems at the same time as heightening our customer focus. We are concentrating on fast, reliable delivery,” says Michael Steiner, Head of Research and Development of the Volkswagen Group and Member of the Executive Board, Research and Development of Porsche AG.\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">\u003Cstrong>About the Volkswagen Group\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">The Volkswagen Group is one of the world's leading car makers, headquartered in Wolfsburg, Germany. It operates globally, with 114 production facilities in 19 European countries and 10 countries in the Americas, Asia and Africa. With around 684,000 employees worldwide. The Group’s vehicles are sold in over 150 countries. With an unrivalled portfolio of strong global brands, leading technologies at scale, innovative ideas to tap into future profit pools and an entrepreneurial leadership team, the Volkswagen Group is committed to shaping the future of mobility through investments in electric and autonomous driving vehicles, digitalization and sustainability. In 2023, the total number of vehicles delivered to customers by the Group globally was 9.2 million (2022: 8.3 million). Group sales revenue in 2023 totaled EUR 322.3 billion (2022: EUR  279.1 billion). The operating result before special items in 2023 amounted to EUR 22.6 billion (2022: EUR 22.5 billion).\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Mobileye (Nasdaq: MBLY) leads the evolution of mobility with its autonomous driving and driver-assistance technologies, based on world-renowned expertise in artificial intelligence, computer vision, mapping, and integrated hardware and software. Since its founding in 1999, Mobileye has enabled the wide adoption of advanced driver-assistance systems while pioneering groundbreaking technologies such as REM™ crowdsourced mapping, True Redundancy™ sensing, Responsibility-Sensitive Safety™ (RSS™) driving policy and Driving Experience Platform (DXP). These technologies support a product portfolio structured for scale and designed to unlock the full potential of mobility, offering a range of solutions from premium ADAS to autonomous vehicles. By the end of 2023, about 170 million vehicles worldwide had been equipped with Mobileye technology. In 2022, Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fspan>\u003C\u002Fp>","2024-03-20T07:00:00.000Z",[141,108,65,57,78,86],{"id":735,"type":142,"url":736,"title":737,"description":738,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":738,"image":739,"img_alt":740,"content":741,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":732,"tags":742},257,"volkswagen-admt-announces-agreement-with-mobileye-for-autonomous-driving","大众ADMT宣布与Mobileye达成自动驾驶协议","大众ADMT将与mobileye合作量产自动驾驶车队，这在全球汽车制造商中尚属首次。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc245a61f928c539a7fe4569114de035b_1710931574541.jpg","The Volkswagen ID. Buzz AV built on the Mobileye Drive™ autonomous platform. ","\u003Cp>− Volkswagen is the first vehicle manufacturer to develop an autonomous Level 4 service vehicle for large-scale production\u003C\u002Fp>\n\u003Cp>− The aim is to use it in the commercial sector, for example for mobility and transport services in Europe and the USA\u003C\u002Fp>\n\u003Cp>− High synergies with systems for automated driving within Volkswagen Group: shared module use from Level 2+ to Level 4\u003C\u002Fp>\n\u003Cp>Hannover, 20 March 2024 – Autonomous driving is coming. Following an extensive pilot phase with road testing in Germany and the USA, Volkswagen ADMT GmbH, part of Volkswagen AG, is announcing a cooperation agreement with the Israeli technology company Mobileye Global Inc. Mobileye shall develop and supply software, hardware components and digital maps for the self-driving ID. Buzz AD.\u003C\u002Fp>\n\u003Cp>The main part of the agreement covers delivery and use of a self-driving system (SDS) based on the Mobileye Drive™ platform for a special version of the ID. Buzz, which has been under development for autonomous driving since 2021. It corresponds to the so-called Level 4 definition of the Society of Automotive Engineers (SAE), in which the autonomous vehicle operates self-driving in a defined area such as a city. The basis for this are various software and hardware components, including two independent high-performance computers as well as 13 cameras, nine lidar and five radar units, each of which is capable of producing 360-degree surroundings. A constant online connection to clouds provides the autonomous vehicles with swarm data from other road users about the traffic situation as well as updates to the three-dimensional maps.\u003C\u002Fp>\n\u003Cp>“Bringing autonomous shuttles on the road in large quantities requires cooperation from strong partners,” says Christian Senger, member of the Board of Management at Volkswagen Commercial Vehicles, responsible for Autonomous Driving: “We are developing the first fully autonomous large-scale production vehicle, and Mobileye brings its digital driver on board.”\u003C\u002Fp>\n\u003Cp>An advantage of the cooperation is the synergy with systems for automated driving in the Volkswagen group; depending on the expansion level, modules can be shared across SAE levels from 2+ to 4. The aim of Volkswagen ADMT GmbH is to develop the fully electric autonomous ID. Buzz AD for the use in mobility and transport services from 2026.\u003C\u002Fp>\n\u003Cp>This also includes intelligent fleet control: The Volkswagen Group company MOIA has been operating Europe's largest private ride pooling service in Hamburg since 2019 and has transported more than ten million passengers to date. MOIA brings its practical know-how into the development: Unlike individual (partially) autonomous cars, which are used individually by vehicle owners, mobility services are dedicated to transporting passengers to their desired destinations within the defined urban area and drop them off safely.\u003C\u002Fp>\n\u003Cp>Another use case for self-driving vehicles is, for example, the transport of packages. The logistics market has grown significantly in recent years due to the increasing share of e-commerce. Delivery capacity is already one of the biggest challenges the industry is facing due to the driver shortage. Autonomous transport will therefore be a possible solution to ensure long-term delivery capability and participate in market growth. Volkswagen ADMT GmbH is working intensively on autonomous freight transport for various industries as a second important pillar alongside autonomous passenger transport. In the future, autonomous vehicles shall be able to drive to certain loading and unloading stations or to customer addresses independently.\u003C\u002Fp>\n\u003Cp>Autonomous vehicles for mobility and transportation services solve the driver shortage that has been the case for many years. Robo-shuttles promote both the quality of life and the economic development of cities.\u003C\u002Fp>\n\u003Cp>\u003Cbr \u002F>\u003Cspan style=\"font-size: 10pt;\">Volkswagen Commercial Vehicles: We Transport Success, Freedom and Future\u003C\u002Fspan>\u003Cbr \u002F>\u003Cspan style=\"font-size: 10pt;\">As a leading manufacturer of light commercial vehicles, the Volkswagen Commercial Vehicles brand (VWCV) is reshaping the transportation of goods, services and people in a fundamental and lasting way. Our vehicles transport construction workers, families and adventurers, bread rolls, parcels and surfboards. Every day they help countless people all over the world to do a good job, they operate as mobile workshops and they bring \u003C\u002Fspan>\u003Cspan style=\"font-size: 10pt;\">paramedics and police personnel to wherever they are needed. At our sites in Hanover (D), Poznań (PL), Września (PL) and Pacheco (ARG), around 24,000 employees produce the Transporter, the new Multivan, Caddy, Crafter and Amarok model lines, and since May 2022 the ID. Buzz – the fully electric version of our iconic Bulli. Within the Volkswagen Group, VWCV is also the lead brand for autonomous driving and mobility offerings such as Mobility-as-a-Service and Transport-as-a-Service - areas in which we are shaping the future of mobility. In this way, the brand is transporting the society of tomorrow with all its requirements for clean, intelligent and sustainable mobility. It is this that Volkswagen Commercial Vehicles stands for with its brand promise: We transport success, freedom and future.\u003C\u002Fspan>\u003C\u002Fp>",[65,78,86,108,93,141],{"id":744,"type":101,"url":745,"title":746,"description":747,"primary_tag":99,"author_name":577,"is_hidden":47,"lang":173,"meta_description":747,"image":748,"img_alt":749,"content":750,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":751,"tags":752},254,"mobileye-dxp-as-a-novel-approach","采用全新的Mobileye DXP平台解决定制化需求","Mobileye DXP 解决了定制需求与上市时间和性能风险之间的矛盾","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd3e61ddfe04ec9f19f25187580a6c1f7_1708003321461.jpg","Mobileye's DXP addresses the tension between the need to customize and time-to-market and performance risks.","\u003Cp>Over the past decade, as we have embarked on the gradual transition from driver assist towards autonomous driving, there have been several crossroads along the way where the conventional industry approach has overlooked an inconvenient reality and thus limited the potential for safer and ubiquitous autonomous vehicles – the shared goal in the industry. The path of least resistance often leads to a choice of what seems doable now, but isn’t practical or scalable later.\u003C\u002Fp>\n\u003Cp>We saw this when it was understood that AVs needed HD maps on a level that regular navigation maps could not support, and the common approach was to use dedicated lidar-equipped vehicles to manually map an area for AV driving. This was slow, costly, geographically limited, and generated maps that were quickly out of date. This was when we came up with the idea of REM crowdsourced mapping using cameras already onboard ADAS-equipped vehicles travelling on their typical routes.\u003C\u002Fp>\n\u003Cp>We also saw this when the industry came to a consensus that cameras, radars, and lidars were all necessary for redundant sensing for AVs, but overlooked how equipping vehicles with that many sensors would make them highly expensive, dramatically limiting profitable business models. This is why we are investing in developing imaging radar with lidar-like output, to reduce the number of lidars included and thereby significantly lowering the hardware costs per vehicle. We even see today that our then-radical early 2000s decision to design our own chip and tightly couple hardware with software is proving central to cost-effective high-performance delivery, while others are only now considering this route.\u003C\u002Fp>\n\u003Cp>The industry is now at another crossroads, where we must not overlook an important reality, even if it is inconvenient or hard to overcome, and it has to do with the inherent tension between, on one hand, automakers' desire to customize their offerings and, on the other hand, the time-to-market and performance risks involved in full development of automated driving systems from scratch.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The differentiability-scalability-risk tradeoff \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>For automated driving to become commonplace, automakers will want to customize their driving experience for their particular consumers' expectations. How to do this optimally must take into consideration three key factors: the ability for the automaker to differentiate among other brands, the ability for the supplier to scale to many automakers, and a need to minimize the risk of not executing to the desired performance, cost, and timeline. Given the numerous announcements about ambitious projects in recent years that never came, or have yet to come, to fruition, this execution risk cannot be overlooked.  \u003C\u002Fp>\n\u003Cp>  \u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1381038603fa2dbc89d8fcbcd240c2ef_1708001820543.jpg\" alt=\"\" width=\"650\" height=\"300\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Where to draw the line between sense, plan, and act?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The foundation of all robotics is sense-plan-act: perceive the environment, make a plan, and execute the plan. If differentiability is desired, the automaker must control some part of this stack, but the hard question is where to draw the line between what the supplier controls and what the automaker controls, with all three aspects of the tradeoff in mind. If the supplier provides part of the perception and the automaker develops the rest, differentiation is obtained, but the risk to the automaker is very high; development is difficult, time-consuming, and costly. Integrating everything into one complete and robust system is extremely hard.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F945570dd6474b8083bf5dfaf1dbcdcd6_1708002027160.jpg\" alt=\"\" width=\"650\" height=\"337\" \u002F>\u003C\u002Fp>\n\u003Cp>On the other hand, if the supplier provides all of the driving policy and the automaker handles only the actions taken by the vehicle, either not enough differentiation is achieved on the part of the automaker, \u003Cem>or\u003C\u002Fem> the supplier needs to handle all of the automaker’s driving experience requirements, which is a challenge to scalability.  \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff23a6c4da27193d5421b3baceea322c2_1708002148211.jpg\" alt=\"\" width=\"650\" height=\"332\" \u002F>\u003C\u002Fp>\n\u003Cp>So then the answer seems easy – draw the line between perception and planning. Get all your sensing from the supplier, and the automaker can build their own driving policy and actuation stack.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fbce90c5eac3727c9ca12d4f1ab1a58e3_1708002252931.jpg\" alt=\"\" width=\"650\" height=\"331\" \u002F>\u003C\u002Fp>\n\u003Cp>While tantalizing, this too is highly problematic, and where a key reality of AV development gets overlooked: perception is never perfect, and a driving policy must be robust enough to anticipate those imperfections, requiring an intimate integration of perception and planning. Many attempts have been made with this approach and are at various stages of failure, due to what we call the \"underestimation plague\" – a tendency to vastly underestimate how hard driving policy really is.\u003C\u002Fp>\n\u003Cp>Driving policy must deal with predictions, intentions, uncertainties, and risks of decision-making errors and is therefore highly complex. This approach is therefore also not scalable for the automaker, as driving policy is intimately integrated with perception and must be continually adapted and revalidated as perception changes. \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Separating the universal from the unique \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Given the above, the better path to enable differentiation while also minimizing execution risk and enabling scalability is to draw the line \u003Cspan style=\"font-style: normal !msorm;\">\u003Cem>in the middle of\u003C\u002Fem>\u003C\u002Fspan> the policy stack, with the goal of keeping the perception and sensing integrated, while offering space to the automaker to define behavioral elements of the vehicle.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd694ea364ba1e8f44b1ca1fb90b6eaff_1708003677023.jpg\" alt=\"\" width=\"650\" height=\"366\" \u002F>\u003C\u002Fp>\n\u003Cp>In order to do this, we must define which aspects are universal and should be the same for all systems, and which aspects are unique – where differentiation can and should be possible. Perception is clearly universal, and the way the vehicle performs actions is clearly unique. Driving policy, however, is partially universal and partially unique. On the one hand, it must be tailored to sensing, and on the other hand, it is responsible for the look and feel of the driving experience. The art is to find the right granularity of abstractions that will enable us to make the separation between the universal content (which we want to standardize) and the unique content (which we want to customize around).\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc7d9afa73d33066de2b13baa1b7d31be_1708003813431.jpg\" alt=\"\" width=\"650\" height=\"360\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Mobileye DXP: When, what, and how\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye Driving Experience Platform, or DXP, is a programming language that separates between the universal and the unique, by organizing the decision-making according to when, what, and how. The \"when\" and \"what\" are universal, and the \"how\" is unique. For example, \"when\" approaching a stop sign, the vehicle must brake to stop (the \"what\"). But \"how\" each vehicle model brakes is unique – later and stronger, or earlier and milder, for example. Or, when approaching a roundabout, the vehicle must decide whether to yield or to proceed in front of another vehicle. Assuming both are safe, what should the vehicle do? This is the “how” category, and different automakers will want to tune their systems differently.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa9661f51c4a3e05dadefe3c330c7d06e_1708003943206.jpg\" alt=\"\" width=\"650\" height=\"367\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>How it works inside DXP\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Within a given scenario – the \"what\" and \"when\" – the automaker defines packages or families of \"how\" – a variety of implementations of how to brake to stop for example. The automaker constructs packages of “how instances” out of the platform’s “how families\". The platform provides online and offline tools for creating these packages. The platform also offers reference designs for required packages, in order to reduce execution risk, such that the automaker doesn't need to implement all packages from day one, but can focus on where it specifically wants to provide differentiation.\u003C\u002Fp>\n\u003Cp>Automakers then create code that selects the appropriate package during online driving, based on application parameters like locality, road type, regulation, driving mode, and weather conditions. This solves the differentiability-scalability-risk tradeoff by offering differentiability without breaking the intimate integration between sensing and policy, by using the right abstractions, and, accordingly, reducing execution risk, because the platform will be based on a working product out of the box, and all efforts can focus on differentiation. Automakers can also make post-production tweaks to the driving experience in response to consumer feedback.\u003C\u002Fp>\n\u003Cp>The backbone of this platform is based on redundancy in perception engines, and driving policy using Responsibility-Sensitive Safety combined with analytical calculations and intentions (you can learn more about that in \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=_z3qBZ6vQL8&t=1349s\" target=\"_blank\" rel=\"noopener\">this video)\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>We see great potential in DXP, and in the short time since we unveiled it at CES, several automakers have expressed interest in learning more. The tangible benefits of automated driving systems should help an automaker further define its brand. DXP offers a better roadmap to that future.\u003C\u002Fp>","2024-02-21T08:00:00.000Z",[100,50,108,156,65],{"id":754,"type":14,"url":755,"title":756,"description":757,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":757,"image":758,"img_alt":759,"content":760,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":761,"tags":762},245,"what-does-adas-stand-for","ADAS代表什么？有哪些功能？","现在市面上的大多数新车都搭载了高级驾驶辅助系统，您可能会遇到的一些功能。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc82a41e403606f2e8dd6b665566fba2e_1703494945804.jpg","ADAS features share the common goals of making driving easier and our roads safer. ","\u003Cp>\u003Cspan data-contrast=\"auto\">ADAS stands for Advanced Driver-Assistance System — and chances are that if your car was made in the past decade or two, it has some kind of ADAS features on board.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye has, for the past quarter of a century, been developing and supplying the computer vision technology that enables many ADAS features. Dozens of automakers sell hundreds of car models around the world with ADAS features powered by our technology, totaling more than 140 million vehicles to date (and counting). And we're continuously improving our core technologies to deliver ever more advanced capabilities.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">In this, the second installment of our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhat-is-advanced-driver-assistance-system-adas\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye 101 series\u003C\u002Fa>\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">, we'll take you through some of the ADAS features you're likely to see in new cars on the road today, and how the state of driver assistance technology is evolving towards the future.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan data-contrast=\"auto\">ADAS features today\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F24e2a66e429df0bb0757150a1eddd762_1703494968277.png\" alt=\"\" width=\"650\" height=\"306\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Forward Collision Warning\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> is one of the most basic forms of driver assistance, monitoring the area in front of the vehicle and warning the driver of an imminent collision. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Automatic Emergency Braking\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> builds upon the passive function of Forward Collision Warning by actively actuating the brakes to avoid collision.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Blind Spot Detection\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> (also known as Blind Spot Warning or Blind Spot Monitor) alerts the driver to any obstacles in the hardest-to-see sections of the driver's field of view.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Lane Departure Warning\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> tracks the boundaries of the lane and alerts the driver if they're drifting over the line.\u003C\u002Fspan>\u003Cstrong>\u003Cspan data-contrast=\"auto\"> Lane Keep Assist\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> goes further by actively intervening to steer the vehicle back into its lane.\u003C\u002Fspan>\u003Cstrong>\u003Cspan data-contrast=\"auto\"> Lane Centering\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> goes yet further to actively keep the vehicle centered within its lane. And \u003C\u002Fspan>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Lane Change Assist \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\">goes further still by switching lanes automatically.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Adaptive Cruise Control\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> maintains a set speed on the highway while monitoring the distance to the vehicle ahead, slowing down and speeding up to keep a safe following distance.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Highway Assist\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> is one of the most advanced forms of ADAS, combining such features as Adaptive Cruise Control and Lane Centering to partially automate cruising on interurban highways.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Traffic Jam Assist\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> is similar to Highway Assist, but is designed to operate at lower speeds in stop-and-go traffic, partially automating one of the most mundane aspects of driving.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Traffic Sign Recognition\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> detects and identifies all manner of traffic signs posted alongside the road, informing the driver and vehicle systems of relevant signals.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Intelligent Speed Assist\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\"> monitors traffic signs and other parameters of the driving environment to help drivers stay within the speed limit.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan class=\"TextRun SCXW132396832 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW132396832 BCX0\">The e\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW132396832 BCX0\">ffects of ADAS\u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan class=\"EOP TrackedChange SCXW132396832 BCX0\" data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye technology supports a broad range of additional features, from emergency vehicle detection to automatic high beams. Other suppliers specialize in technology such as backup cameras, anti-lock braking systems, and tire pressure monitoring systems. Some automakers even offer specialized systems for towing trailers or driving off-road. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">These features all share the common goals of making driving easier and our roads safer. And they've proven effective: the \u003Ca href=\"https:\u002F\u002Fwww.iihs.org\u002Fmedia\u002F290e24fd-a8ab-4f07-9d92-737b909a4b5e\u002FoOlxAw\u002FTopics\u002FADVANCED%20DRIVER%20ASSISTANCE\u002FIIHS-HLDI-CA-benefits.pdf\" target=\"_blank\" rel=\"noopener\">Insurance Institute for Highway Safety\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">(IIHS) found passive Blind Spot Detection to reduce the instance of lane-change collisions resulting in injuries by 23 percent, for example, and the active intervention of Automatic Emergency Braking to reduce rear-end collisions by 50 percent (resulting in 56 percent fewer injuries).\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">As these features grow more commonplace, capable, and effective, automotive safety standards have increased. Organizations like IIHS and \u003Ca href=\"https:\u002F\u002Fwww.euroncap.com\u002Fen\u002Fabout-euro-ncap\u002Ftimeline\u002F\" target=\"_blank\" rel=\"noopener\">Euro NCAP\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">have instituted additional testing (and award higher marks) for vehicles equipped with key ADAS features. In many markets, government authorities require all new vehicles on the market to come with certain ADAS features fitted as standard, such as the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-launches-the-first-camera-only-intelligent-speed-assist-to-meet-new-eu-standards\u002F\" target=\"_blank\" rel=\"noopener\">Intelligent Speed Assist\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">required under the EU's latest General Safety Regulation.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Evolving beyond basic ADAS\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F681ee34ca3b9b876269d4b79c4d4a3d5_1703495009120.png\" alt=\"\" width=\"650\" height=\"306\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Now in our 25th year, Mobileye continues to develop and improve the technologies to support ADAS features such as these. Our computer vision technology leads the industry, especially in its renowned ability to derive three-dimensional information from a single camera. Our latest algorithms are trained to not only detect other road users, but determine their intent – which can be particularly useful in predicting, for example, if a \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fpedestrian-safety-month-protection-detection\u002F\" target=\"_blank\" rel=\"noopener\">pedestrian\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">is waiting by the curb or is about to step out into the street. And our latest EyeQ™ systems-on-chip \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fenhanced-computer-vision-driver-assistance\u002F\" target=\"_blank\" rel=\"noopener\">support more powerful camera sensors\u003C\u002Fa> \u003Cspan data-contrast=\"auto\">(with greater resolution and field of view) to see farther and wider, along with highly sophisticated artificial intelligence capabilities to derive more insights from the driving environment.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">The next step in evolving the capabilities of driver assistance is adding REM™-generated maps. Our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\" target=\"_blank\" rel=\"noopener\">Cloud-Enhanced Driver-Assist™\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">solution brings to the ADAS sphere the mapping tech initially designed for autonomous vehicles, enabling such features as lane centering (even in the absence of visible lane markers) and traffic-light relevancy (which can alert drivers, for instance, if they're about to run a red light).\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">With additional sensors, processing power, and RSS™-based driving policy, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye SuperVision™\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">takes driver assistance to the next level, enabling eyes-on\u002Fhands-off automated driving capabilities. From there, we're \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhen-will-self-driving-cars-be-available\u002F\" target=\"_blank\" rel=\"noopener\">stepping up\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">to eyes-off\u002Fhands-off operation with Mobileye Chauffeur™ and driverless mobility services with Mobileye Drive™ as we strive to incrementally evolve from driver assistance to the autonomous future. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>","2024-02-14T08:00:00.000Z",[57,86],{"id":764,"type":142,"url":765,"title":766,"description":767,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":767,"image":768,"img_alt":769,"content":770,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":771,"tags":772},253,"mobileye-and-project-3-mobility-announce-collaboration-for-scalable-urban-autonomous-mobility-project","Mobileye与Project 3出行宣布达成可拓展城市自动驾驶出行项目合作","利用Mobileye Drive可扩展的自动驾驶技术打造新的城市自动驾驶出行生态系统","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa3432d1bf7442959befeecc389c5ee8a_1707767336699.jpg","Logos of Project 3 and Mobileye on a circuit board","\u003Cp>Jerusalem and Zagreb, February 13, 2024 – Mobileye (Nasdaq: MBLY), a global leader in autonomous driving solutions, and Project 3 Mobility (P3), a Croatian company building a new ecosystem for urban autonomous mobility, today announced a collaboration to explore a new mobility service, utilizing Mobileye’s scalable self-driving technology, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fdrive\u002F\">Mobileye Drive™\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>Project 3 Mobility aims to significantly improve transportation in urban areas and revolutionize mobility in cities. The first P3 service is aimed to be launched in Zagreb in 2026, with testing and validation of Mobileye's AV solution on the streets of the Croatian capital targeted to start in 2024.\u003C\u002Fp>\n\u003Cp>Project 3 Mobility's mission is to redefine urban mobility into a safe, effortless, and premium user experience. By leveraging technology and innovation, P3 is creating a ground-breaking ecosystem consisting of three key elements: an autonomous electric vehicle, specialized infrastructure, and a mobility service platform. Project 3 Mobility is developing a fully autonomous electric vehicle fundamental for implementing this new urban mobility ecosystem. The vehicle is built on a completely new platform designed around safety and comfort, fully utilising the benefits of autonomous driving. Mobileye technology will be integrated into the P3 vehicle, which will use the Mobileye Drive autonomous driving solution that has also been adopted by some of the world’s leading automotive companies.\u003C\u002Fp>\n\u003Cp>For the past two decades, Mobileye has used the power of computer vision and artificial intelligence to improve automotive safety, with approxtimately 170 million vehicles integrating Mobileye technology to date. The Mobileye Drive combination of redundant camera and lidar-radar sensing, REM™ crowdsourced mapping and transparent driving policy – all powered by the EyeQ™ system-on-chip - enables Mobileye to offer scalable, adaptable autonomous driving for robotaxis and Mobility-as-a-Service (MaaS) providers. The big benefits of Mobileye Drive are that it can be deployed in a wide range of geographic locations, on many different road types; that it can drive under varying weather conditions; and that it can adapt itself to local driving styles, all of which are crucial for Project 3 Mobility’s service scalability. \u003C\u002Fp>\n\u003Cp>P3 has already signed agreements with 9 cities across the EU, UK and GCC to provide its urban autonomous service, and 30 more cities are planned to follow. Also, Project 3 Mobility is about to establish a production facility in Croatia for the large-scale production of autonomous vehicles that will be deployed worldwide.\u003C\u002Fp>\n\u003Cp>“We welcome this innovative collaboration with Project 3 Mobility to bring an exciting and promising new mobility service to life,” said Prof. Amnon Shashua, founder and CEO of Mobileye. “We share the vision of making urban mobility safer and more accessible, and with the flexibility of Mobileye Drive to adapt to different vehicle types, we’re excited to explore new frontiers in mobility services.”\u003C\u002Fp>\n\u003Cp>“We are committed to improving how people move in cities. Our collaboration with Mobileye is a cornerstone for achieving that vision. Mobileye has proved to be a great partner that has the right experience, the right technology, and the right team. Together we will make that vision of urban autonomous mobility a reality. I am very excited to share more details in the next few months”, said Marko Pejković, CEO of Project 3 Mobility.\u003C\u002Fp>\n\u003Cp>Project 3 Mobility’s planned Mobility-as-a-Service project aims to provide customers with more than just transportation from point A to point B. The goal is to give customers an improved user experience tailored to their needs, by giving back time spent in traffic, opening possibilities for leisure or work. The realization of P3‘s project aims to increase efficiency and safety in traffic and achieve a positive impact on the environment and city infrastructure. The project aims to create significant benefits for Zagreb and many other cities that will provide this service.\u003C\u002Fp>\n\u003Cp>Project 3 Mobility will share further details about its project and service in the months ahead.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong> \u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety™ (RSS™). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, about 170 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye was listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit  \u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=53539903&newsitemid=20230817465845&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=2&md5=dc09cc0681f253ba2b178bfdedda4ac0\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>. \u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Project 3 Mobility\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Project 3 Mobility is a Croatia-based company developing a new ecosystem for urban autonomous mobility. The innovative ecosystem consists of three key elements that P3 is creating: the urban autonomous vehicle, specialized infrastructure, and a complete service platform. By focusing on a safe, effortless, and premium user experience, the P3 service will significantly improve transportation in urban areas and revolutionize the way we move in our cities. Given the cutting-edge solution, the project has attracted multiple experts from all around the world. Currently, Project 3 Mobility has a team of more than 240 people with experts from more than 20 different industries and nationalities in two offices – in Croatia and the UK.\u003C\u002Fp>\n\u003Cp>The company was founded in 2019 by Croatian innovator and entrepreneur Mate Rimac, Marko Pejković, CEO of Project 3 Mobility, and Adriano Mudri, CDO at Project 3 Mobility. \u003C\u002Fp>\n\u003Cp>For more information, visit \u003Ca href=\"https:\u002F\u002Fp3m.com\u002F\">https:\u002F\u002Fp3m.com\u002F\u003C\u002Fa>\u003C\u002Fp>","2024-02-13T08:00:00.000Z",[65,93,78,141],{"id":774,"type":142,"url":775,"title":776,"description":777,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":777,"image":778,"img_alt":779,"content":780,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":781,"tags":782},251,"hirain-to-mass-produce-first-mobileye-eyeq6-based-adas-system-in-china","经纬恒润国内首个基于Mobileye EyeQ™6的高级驾驶辅助系统即将量产","经纬恒润将在国内首个生产搭载Mobileye EyeQ6L系统集成芯片的ADAS系统","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fed7636398b6877b9326408c891e959f7_1705923974549.jpg","Hirain and Mobileye","\u003Cp>BEIJING, 22 January 2024 -- HiRain Technologies, a system provider of intelligent driving solutions to automakers in China, proudly announces the upcoming production of the Mobileye EyeQ\u003Csup>™\u003C\u002Fsup>6 Lite based ADAS system, poised to debut in China in the second quarter of 2024. This marks a significant stride in advancing automotive safety and comfort features.\u003C\u002Fp>\n\u003Cp>The EyeQ6, the newest member of Mobileye's systems-on-chip portfolio, is engineered to redefine performance and efficiency in both core and premium ADAS offerings. Featuring Mobileye's sophisticated vision-based sensing technology, the EyeQ6 Lite excels in real-time detection and analysis of its surroundings. Its advanced AI algorithms process this information, enabling precise decision-making in diverse driving conditions. The EyeQ6 Lite also supports Cloud-Enhanced ADAS, providing automakers with a single solution for both the Chinese and international markets.\u003C\u002Fp>\n\u003Cp>Working with HiRain, the EyeQ6 Lite has been optimized for a variety of vehicles. Its compact design and low power consumption make it ideally suited for integration into current vehicle platforms, transforming it into a pivotal component in intelligent transportation.\u003C\u002Fp>\n\u003Cp>\"Our collaboration with Mobileye since 2012 has now brought forth the EyeQ6 Lite-based ADAS, HiRain's 7th generation in this series,” said Dr. Chengjian Fan, Deputy General Manager of HiRain. “Its outstanding performance, including L2+ features like AEB, ACC, LKA, iACC, TJA, and ENCAP2023 5-star compliance, offers our OEM clients a reliable, cost-effective product.\"\u003C\u002Fp>\n\u003Cp>\u003Cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd665e0d903e15712cfe3e146e279333c_1705924213120.jpg\" alt=\"A picture of the EyeQ6L system-on-chip from Mobileye\" width=\"620\" height=\"339\" \u002F>\u003C\u002Fp>\n\u003Cp>The EyeQ6 line builds on more than 170 million EyeQ units delivered globally since 2007, enabling key safety features such as automatic emergency braking for dozens of automakers worldwide.\u003C\u002Fp>\n\u003Cp>\"The EyeQ6 Lite project is a symbol of our steadfast dedication to safety and automotive-grade excellence,\" stated Elie Luskin, Mobileye Vice President, and Managing Director of Mobileye China. \"Our robust partnership with HiRain, spanning projects from EyeQ\u003Csup>™\u003C\u002Fsup>3 to SuperVision\u003Csup>™\u003C\u002Fsup>, reflects our shared vision for high-quality, reliable automotive innovations. This collaboration has been key in advancing both safety standards and technological sophistication in the automotive industry.\"\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About HiRain \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Founded in 2003, HiRain focuses on providing customers in the fields of automobile and unmanned transportation with electronic products, R & D services and overall solutions for high-level intelligent driving. Headquartered in Beijing, HiRain has established modern production plants in Tianjin and Nantong, forming a perfect R & D, production, marketing and service system. Based on the concept of \"value innovation and serve customers\", the company adheres to the strategies of \"professional focus\", \"technology leadership\" and \"platform development\", and is committed to becoming a world-class comprehensive electronic system technology service provider, a full stack solution supplier for intelligent networked vehicles and a leader in high-level intelligent driving MaaS solutions. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.hirain.com\">https:\u002F\u002Fwww.hirain.com\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 170 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>\u003C\u002Fp>","2024-01-22T08:00:00.000Z",[108,141,57,93],{"id":784,"type":14,"url":785,"title":786,"description":787,"primary_tag":107,"author_name":177,"is_hidden":47,"lang":173,"meta_description":787,"image":788,"img_alt":789,"content":790,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":781,"tags":791},252,"mobileye-ces-2024","Mobileye闪耀CES 2024  ","本届CES, 我们推出了Mobileye DXP -全新驾驶体验平台","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc30e532299c9f589ff8c9dd811c038ec_1705931822539.jpg","Entering CES 2024 at the Las Vegas Convention Center.","\u003Cp>\u003Cspan data-contrast=\"auto\">It was all about experiencing brand-new technologies at CES 2024, and, just as in previous years, Mobileye was a main attraction on the show floor in Las Vegas, giving visitors an opportunity to witness our vision of an autonomous future.  \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">New collaborations and a new platform took center stage as Mobileye presented its latest developments at the biggest in-person tech event in the world, with over 135,000 people in attendance. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">From first glimpses of vehicles equipped with our cutting-edge technologies to the unveiling of our latest breakthroughs, here is a quick recap of all the action in and around Mobileye at CES 2024.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FhrEpvBG4u14?si=aLA9H38kj7bsQgb6\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Professor Amnon Shashua at CES 2024: Now. Next. Beyond. \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-contrast=\"auto\">On the first day of CES, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Famnon-shashua\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye's CEO\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">delivered his much-anticipated \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fprof-amnon-shashua-at-ces-2024\u002F\" target=\"_blank\" rel=\"noopener\">annual press conference\u003C\u002Fa>\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">. Prof. Shashua analyzed the present and future of Mobileye’s assisted and autonomous driving systems. \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">He also elaborated on our recent announcements that Mobileye has been awarded \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-reveals-new-wins-for-key-tech-platforms-with-large-global-automaker\u002F\" target=\"_blank\" rel=\"noopener\">production design wins\u003C\u002Fa> \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">by a major Western automaker.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">In addition, Prof. Shashua \u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">introduced Mobileye DXP, a new platform that offers automakers the ability to customize the driving experience, preserving their brand and style.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\">\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fuco1z54FAdA?si=g8QYKWHglkow14Lv\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan data-contrast=\"auto\">Stealing the show\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-contrast=\"auto\">The new DXP platform was at the fore in Mobileye's booth as well, which drew thousands of attendees who were wowed by everything on display. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">With an assist in the form of a \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Aw_R7zqs6Sk\" target=\"_blank\" rel=\"noopener\">presentation\u003C\u002Fa> by our \u003C\u002Fspan>\u003Cspan data-contrast=\"none\">Executive VP of Strategy & Business Development, Nimrod Nehushtan\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">, our main show took the audience on a journey, through Mobileye’s history, by way of its here and now, all the way to what is to come ahead.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\">\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FIBXl4kJ2mfQ?si=0dNe5SfIGgoQjKwz\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cspan data-contrast=\"auto\">A deep dive into Mobileye DXP \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Our new Driving Experience Platform was also the subject of Mobileye CTO Prof. Shai Shalev-Shwartz's CES 2024 presentation. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Explaining where the idea behind the system came from and how it balances safety and scale, Prof. Shalev-Shwartz highlighted the platform's ability to provide automakers with AI tools to program the vehicle’s functionality, allowing them to customize the driving experience of their vehicles to their preferences. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\">\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F_z3qBZ6vQL8?si=QQ96oUSBpsUyVzJr\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\">\u003Cspan class=\"TextRun SCXW192484678 BCX0\" lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">Mobileye’s \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">yearly \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">visit \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">to\u003C\u002Fspan> \u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">CES was thrilli\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">ng and inspiring. Al\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">though \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">the big event has powered down\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">,\u003C\u002Fspan> \u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">rest \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">as\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">sure\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">d\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\"> that plans for \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">next year are \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">already\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\"> underway, as we continue to work \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">toward\u003C\u002Fspan> \u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">creating \u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\">a\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\"> bright\u003C\u002Fspan>\u003Cspan class=\"NormalTextRun SCXW192484678 BCX0\"> autonomous future.\u003C\u002Fspan>\u003C\u002Fspan>\u003Cspan class=\"EOP SCXW192484678 BCX0\" data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fspan>\u003C\u002Fp>",[141,65,108,128,122],{"id":793,"type":142,"url":794,"title":795,"description":796,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":796,"image":797,"img_alt":798,"content":799,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":800,"tags":801},250,"prof-amnon-shashua-at-ces-2024","Amnon Shashua 教授 CES 2024: Now. Next. Beyond 新闻发布会","CES 2024首日，Mobileye首席执行官Amnon Shashua教授主持了备受瞩目的年度新闻发布会，分析了Mobileye辅助驾驶和自动驾驶系统的现状与未来","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F62e61593274d34538d7719105558a450_1705490954008.jpg","Mobileye CEO Prof. Amnon Shashua speaking at his annual CES press conference.","\u003Cp>Mobileye’s annual CES press conference was again an industry focal point, with Mobileye CEO Professor Amnon Shashua presenting his insights into key issues.\u003C\u002Fp>\n\u003Cp>During his presentation, Prof. Shashua discussed the current state of self-driving car technologies and future possibilities for the industry, zeroing in on two main issues: (1) creating a safer eyes-off system, and (2) providing a platform for carmakers that allows them to customize their driving experience, which was unveiled as Mobileye’s new DXP platform.\u003C\u002Fp>\n\u003Cp>Prof. Shashua also introduced new and exciting collaborations between Mobileye and several OEMs, including Mobileye securing a series of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-reveals-new-wins-for-key-tech-platforms-with-large-global-automaker\u002F\">production design wins\u003C\u002Fa> from a major Western automaker, Chery's approaching launch of Mobileye’s Cloud-Enhanced ADAS on its Exeed VX model.\u003C\u002Fp>\n\u003Cp>During the event, held in Las Vegas, Prof. Shashua highlighted breakthroughs in AI and the opportunities to apply them to autonomous driving. He also updated the expected timeline for Mobileye’s EyeQ™ 6H SoC and noted the next generation of Mobileye's imaging radars.\u003C\u002Fp>\n\u003Cp>Watch the video below to see the full press conference and learn about Mobileye's bridge from hands-on to no-driver systems.\u003C\u002Fp>\n\u003Cp>\u003Ciframe src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fuco1z54FAdA?si=CaV3jgH9LqWAiXUT&amp\" width=\"560\" height=\"314\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2024-01-17T08:00:00.000Z",[128,50,141,65,57],{"id":803,"type":142,"url":804,"title":805,"description":806,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":806,"image":807,"img_alt":808,"content":809,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":810,"tags":811},249,"exeed-chery-autos-luxury-brand-chooses-mobileye-and-wbtl-to-launch-first-cloud-enhanced-driver-assist-in-china","奇瑞高端品牌星途携手Mobileye与伯特利，在中国推出首个云增强驾驶辅助系统","搭载云增强驾驶辅助系统的星途揽月车型可以通过持续更新，使车辆应对各种驾驶场景。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fdc97cfe61a5c00b94f9afe09d5c163b8_1705322793883.jpg","The Exeed VX luxury SUV","\u003Cp>Wuhu, January 15, 2024 – EXEED, Chery Auto's luxury brand, announced today it will be the first automaker in China to launch a Cloud-Enhanced Driver-Assist™\u003Csup> \u003C\u002Fsup>system, joining with Mobileye (Nasdaq: MBLY) and WBTL ADAS to debut the technology on the Exeed VX.\u003C\u002Fp>\n\u003Cp>The EXEED VX with the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fcloud-enhanced-driver-assist\u002F\" target=\"_blank\" rel=\"noopener\">Cloud-Enhanced Driver-Assist\u003C\u002Fa> system can leverage continuous updates to enable vehicles to adapt to various driving situations. This system is particularly effective in challenging scenarios, such as poor visibility or complex traffic situations, demonstrating Chery\u002FEXEED’s commitment to safety and technological innovation.\u003C\u002Fp>\n\u003Cp>\"The introduction of the Exeed VX equipped with Mobileye Cloud-Enhanced Driver-Assist technology represents a major leap forward,\" said Dr. GAO Jiabing, Head of Automated Driving, Assistant of General Manager of Chery Auto. \"This collaboration with Mobileye and WBTL underscores our dedication to setting new standards in automotive safety and technological advancements.\"\u003C\u002Fp>\n\u003Cp>The cloud-enhanced functions leverage Mobileye’s REM\u003Csup>™\u003C\u002Fsup> technology, and will launch in February 2024, and by the first quarter of 2024 will support more than 37 cities across China, soon reaching wider coverage across the country. It enables unique features such as lane-keeping on roads without lane markings and adaptation to the applicable driving speed.\u003C\u002Fp>\n\u003Cp>\"Launching with Chery\u002FEXEED, for the first time in China, our Cloud-Enhanced Driver-Assist technology is a significant step” said Elie Luskin, VP and China Managing Director at Mobileye. “Chery\u002FEXEED's focus on safety and their reach in both domestic and international markets align perfectly with Mobileye's crowd-based technology, offering a unified solution across different regions. Implementing Mobileye REM technology in Chery\u002FEXEED vehicles will not only enhance driver safety but also contribute to overall road safety.\"\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About EXEED & Chery Auto\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>EXEED, launched by Chery Auto in 2017, represents the pinnacle of luxury and innovation in Chery's diverse automotive portfolio. As a premium SUV division, EXEED has quickly become synonymous with high-end design and performance, showcasing models like the TX, VX, and LX. Meanwhile, Chery Auto, renowned for its wide range of vehicles catering to various market segments, continues to make significant strides in the industry. Both EXEED and Chery embody a commitment to advanced technology and sustainable mobility, with EXEED's introduction of the electric car concept EXLANTIX highlighting this shared vision. Together, they demonstrate a blend of sophistication, innovation, and a forward-thinking approach in the global automotive market.\u003C\u002Fp>\n\u003Cp>EXEED has become an automotive brand that meets the travel needs and tastes of high-end customers since its inception, which based on the technological essence of over 20 years in Europe and a team of experts who have provided high-quality services to well-known automotive companies around the world. With its R&D center located in Frankfurt, Europe, EXEED has established partnerships with strong R&D capabilities with top European and American companies.\u003C\u002Fp>\n\u003Cp>In recent years, EXEED has been exploring a path forward, and its constantly growing product matrix, such as LX, TXL, VX, RX, etc., which has quietly laid out in the compact, mid-sized, medium and large automotive markets and has rooted in multiple markets such as Central Europe, the Middle East, and South America, it has gradually become the best choice for high-end users.\u003C\u002Fp>\n\u003Cp>Nowadays, in the face of the new energy trend, EXEED holds a forward-looking vision and has launched the highly anticipated high-end pure electric series - EXLANTIX. EXEED is prepared to poise to redefine future travel with a brand-new attitude.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 150 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About WBTL ADAS\u003C\u002Fstrong>:\u003C\u002Fp>\n\u003Cp>WBTL is a tier-1 supplier providing active and passive safety systems for passenger and commercial vehicles, delivering leading solutions in ADAS, Braking, Steering, and Lightweight applications to more than 30 OEM customers around the globe.\u003C\u002Fp>\n\u003Cp>WBTL ADAS aims to accelerate next generation ADAS\u002FAD technology, allowing wide and efficient deployment of life-saving ADAS systems on vehicles in more than 15 countries. WBTL ADAS’ deep, AI-based knowhow in chassis control and vehicle dynamics uniquely positioned itself in pushing toward a more robust Automated Driving future.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-01-15T08:00:00.000Z",[57,108,141],{"id":813,"type":142,"url":814,"title":815,"description":816,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":816,"image":817,"img_alt":818,"content":819,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":820,"tags":821},247,"mobileye-reveals-new-wins-for-key-tech-platforms-with-large-global-automaker","Mobileye 披露与国际汽车制造商巨头基于核心技术平台的最新合作","自 2026年起，Mobileye 自动驾驶技术将应用于多个全球品牌的17款新车型。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F66263c67cd7ee9163cb270e6fdeee5e4_1704644722450.jpg","At CES 2024, Mobileye revealed new wins for its three key platforms – Mobileye SuperVision™, Mobileye Chauffeur™ and Mobileye Drive™.","\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">LAS VEGAS, JAN 8, 2024 – \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"auto\">Mobileye (Nasdaq: MBLY) announced today that it has been awarded a series of production design wins by a major Western automaker. Under these design wins, multiple global brands are expected to implement new automated driving solutions using Mobileye’s three key platforms – Mobileye SuperVision\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">, Mobileye Chauffeur\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\"> and Mobileye Drive\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\"> – for 17 internal combustion and electric vehicle models, which are set to begin rolling out in 2026.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">The extensive set of awards includes Mobileye's unique and innovative software tool that will ensure each brand can maintain the utmost level of customization and personalization in their driving experiences. The premium ADAS and automated solutions are expected to be offered on multiple vehicle platforms across a broad range of geographies and various powertrain types, and can be easily expanded to additional models based on demand. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">“These design wins represent an historic milestone in the development of automated driving, and will greatly increase its availability to customers globally,” said Mobileye CEO Prof. Amnon Shashua. “Execution of these production programs will set the standard for software-driven intelligent driving, leveraging the expertise of both companies at volume to serve customers around the world.”  \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye will work with the various brands as a Tier 1 to develop new services for hands-off, eyes-on driving on the Mobileye SuperVision platform, leveraging AI-powered surround computer vision and radar that enable navigate-on-pilot functions for highway, rural and urban roads in defined operational domains. These services are currently expected to begin rolling out across multiple markets and regions in 2026.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye will also work with these automotive brands to implement the Mobileye Chauffeur platform to select models, offering eyes-off, hands-off advanced driving solutions in specified operating design domains. Mobileye enables Chauffeur by adding a second, independent perception system leveraging radar and lidar sensor outputs, as well as additional computing power as needed, to the SuperVision platform, creating a naturally scalable upgrade path for automakers.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">The two companies also agreed to bring fully autonomous vehicles into series production. Powered by the Mobileye Drive platform, this program is designed to produce purpose-built vehicles utilized in robotaxi and mobility-as-a-service operations. The Drive-enabled vehicles leverage computer vision, lidar and Mobileye imaging radar, with initial driverless deployments targeted for 2026. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">All systems will use the Mobileye EyeQ\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"auto\">6H systems-on-chip designed for powerful but efficient computing to integrate all sensing and REM crowdsourced mapping with safe driving policy. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">“Since our founding, we have focused on delivering the safety and convenience benefits of advanced computer vision technology around the world,” said Shashua. “The pace of innovation has undoubtedly increased and the breadth of this agreement serves as a blueprint for the scalability and customizability of our technology stack, with SuperVision serving as a bridge to eyes-off systems for both consumer-owned vehicle and mobility-as-a-service markets.”\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>","2024-01-08T08:00:00.000Z",[57,65],{"id":823,"type":136,"url":824,"title":825,"description":826,"primary_tag":134,"author_name":177,"is_hidden":47,"lang":173,"meta_description":826,"image":827,"img_alt":828,"content":829,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":830,"tags":831},243,"mobileye-at-ces-2024","Mobileye 闪耀 CES 2024","浏览我们的展会新闻工具包，了解我们的最新信息、视频、照片等。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3b11d58d5ed1e6627e8ae0adb746a603_1703018865471.jpg","Mobileye: Now. Next. Beyond. with President & CEO Prof. Amnon Shashua will be Presented on January 9, 2024, at 11:00 a.m. PT. ","\u003Cp>Mobileye returns to Las Vegas for CES 2024, demonstrating progress and innovation on our path to delivering an evolutionary vision of autonomy.\u003C\u002Fp>\n\u003Cp>Visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2024\u002F\" target=\"_blank\" rel=\"noopener\">mobileye.com\u002Fces-2024\u003C\u002Fa> for complete information on all of our CES activities.\u003C\u002Fp>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\"> \u003C\u002Fh3>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\">\u003Cstrong>Mobileye CES 2024 News\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-announces-ces-2024-press-conference-with-prof-amnon-shashua\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye Announces CES 2024 Press Conference with Prof. Amnon Shashua\u003C\u002Fa> (Press Release, December 20, 2023)\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-reveals-new-wins-for-key-tech-platforms-with-large-global-automaker\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye Reveals New Wins for Key Tech Platforms With Large Global Automaker\u003C\u002Fa> (Press Release, January 8, 2024)\u003C\u002Fp>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\"> \u003C\u002Fh3>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\">Presentations\u003C\u002Fh3>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fdocs\u002Fproduct_portfolio_2024.pdf\" target=\"_blank\" rel=\"noopener\">The full spectrum of Mobileye solutions, from driver assistance to autonomous driving.\u003C\u002Fa> (Product Brief)\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fces-2024\u002FCES_2024_Now._Next._Beyond.pdf\" target=\"_blank\" rel=\"noopener\">Mobileye: Now. Next. Beyond. CES 2024 Press Conference with Prof. Amnon Shashua\u003C\u002Fa> (Presentation)\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fces-2024\u002FMobileye_DXP_Prof._Shai_Shalev-Shwartz.pdf\" target=\"_blank\" rel=\"noopener\">Mobileye's Driving Experience Platform: Architecture, Abstractions, and APIs, presented by Mobileye CTO Prof. Shai Shalev-Shwartz\u003C\u002Fa> (Presentation)\u003C\u002Fp>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\"> \u003C\u002Fh3>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\">Photos\u003C\u002Fh3>\n\u003Cp>\u003Cstrong>Mobileye at CES 2024\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:ces-2024-updated[**]\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye's Advanced Platforms in the Driver's Seat\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileyes-advanced-platforms-in-the-drivers-seat[**]\u003C\u002Fp>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\"> \u003C\u002Fh3>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\">Videos\u003C\u002Fh3>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F901092712\u002F422cd0f7d0?share=copy\" target=\"_blank\" rel=\"noopener\">Mobileye 2024 Broll\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F901109646\u002Fb688a364d8?share=copy\" target=\"_blank\" rel=\"noopener\">Introducing Mobileye DXP\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F901643395?share=copy\" target=\"_blank\" rel=\"noopener\">Mobileye: Now. Next. Beyond. CES 2024 Press Conference with Prof. Amnon Shashua\u003C\u002Fa> (Replay)\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F902025604\" target=\"_blank\" rel=\"noopener\">Mobileye's Driving Experience Platform: Architecture, Abstractions, and APIs.\u003C\u002Fa> (Replay)\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch3 style=\"font-size: 21px; font-weight: bold;\">Mobileye Brand\u003C\u002Fh3>\n\u003Cp>[**]gallery:mobileye's-logo[**]\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2024-01-02T08:00:00.000Z",[65,135,122,57,141,108],{"id":833,"type":14,"url":834,"title":835,"description":836,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":836,"image":837,"img_alt":838,"content":839,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":840,"tags":841},246,"drivers-in-china-post-reaction-videos-to-supervision","中国驾驶员盛赞 Mobileye SuperVision™","中国驾驶员上传他们自己的内容，以展示Mobileye SuperVision™在ZEEKR 001上的成功。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd1846ded0582c424828c3a5340b27b38_1704116939277.png","Drivers who received the OTA update to Mobileye's SuperVision™ documented ten impressive driving scenarios.","\u003Cp>This last fall, Chinese automotive brand ZEEKR launched a major \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-supervision-pilot-functions-added-to-110000-zeekr-vehicles\u002F\" target=\"_blank\" rel=\"noopener\">over-the-air (OTA) update\u003C\u002Fa> to 110,000 of its 001 models that support highly automated driving features powered by Mobileye SuperVision™. The update delivered full navigate-on-pilot capabilities in specified domains to the Navigation ZEEKR Pilot (NZP) driving assistance system, and drivers responded by uploading videos documenting their experiences of it.\u003C\u002Fp>\n\u003Cp>The update leverages SuperVision’s 11-camera 360° surround vision sensing capability and additional Mobileye technology, all of which provides the system with the ability to construct an environmental model and extract semantic information such as common speed and average drivable path. These advanced capabilities allow the system to “think” ahead and make predictions based on a full understanding of the driving environment.\u003C\u002Fp>\n\u003Cp>This video collation covers ten real-life driving scenarios (numbered from 10 to 1) showcasing NZP’s impressive new features. You can witness how Mobileye SuperVision™  drives safely and naturally, mimicking how human drivers negotiate the road in challenging situations that are difficult even for them, including evading a bus entering the vehicle's lane on the highway, avoiding stopped vehicles, and successfully navigating complex construction zones.\u003C\u002Fp>\n\u003Cp>Click on the video below for more.\u003C\u002Fp>\n\u003Cp>\u003Ciframe src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F915097455?h=73613131d2&title=0&byline=0&portrait=0\" width=\"640\" height=\"360\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2024-01-01T08:00:00.000Z",[57,108,86,128,93],{"id":843,"type":142,"url":844,"title":845,"description":846,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":846,"image":847,"img_alt":848,"content":849,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":850,"tags":851},244,"mobileye-announces-ces-2024-press-conference-with-prof-amnon-shashua","Mobileye Announces CES 2024 Press Conference with Prof. Amnon Shashua  ","Mobileye: Now. Next. Beyond. and additional events presented live from Las Vegas  ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F70e29fa9085f2151107ae35044c5a59b_1703020097934.jpg","President & CEO Prof. Amnon Shashua will deliver his annual CES address on January 9, 2024, at 11:00 a.m. PT.","\u003Cp>\u003Cspan data-contrast=\"none\">Mobileye (Nasdaq: MBLY) will present its 2024 CES Press Conference, \u003C\u002Fspan>\u003Cem>\u003Cspan data-contrast=\"none\">Mobileye: \u003C\u002Fspan>\u003C\u002Fem>\u003Cem>\u003Cspan data-contrast=\"none\">Now. Next. Beyond. \u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-contrast=\"none\">with President & CEO Prof. Amnon Shashua, on January 9, 2024, at 11:00 a.m. PT.  \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">The annual CES address will explore the state of self-driving, highlighting Mobileye’s advancements in delivering an evolutionary vision of autonomy, including a spectrum of scalable solutions from hands-off\u002Feyes-on ADAS to eyes-off autonomous vehicles. Prof. Shashua will also introduce a new technological breakthrough that unlocks automakers’ ability to configure the driving experience in ways that align with their brand and consumer tastes.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">As a follow up to\u003C\u002Fspan>\u003Cem>\u003Cspan data-contrast=\"none\"> Now. Next. Beyond., \u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-contrast=\"none\">Mobileye CTO Prof. Shai Shalev-Shwartz will present \u003C\u002Fspan>\u003Cem>\u003Cspan data-contrast=\"none\">Mobileye's Driving Experience Platform: Architecture, Abstractions, and APIs \u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-contrast=\"none\">on Wednesday, January 10 at 1:00 p.m. PT.\u003C\u002Fspan> \u003Cspan data-contrast=\"none\">Autonomous driving demands weaving a complex AI tapestry with the precision vital for safety-focused systems. This talk will delve into Mobileye's specialized programming platform engineered specifically to meet this challenge. Prof. Shalev-Shwartz will showcase how the platform's APIs provide automakers with the tools to program the AI's functionality to the unique desired driver characteristics of each car model.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Also on Wednesday, January 10, Mobileye Senior Vice President of AV Johann “JJ” Jungwirth will appear on the CES-presented Conference Session panel titled \u003C\u002Fspan>\u003Cem>\u003Cspan data-contrast=\"none\">The Middle Lane: Self-Driving Cars Today \u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-contrast=\"none\">at 9:00 a.m. PT.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">For updated information on Mobileye’s CES news and events, visit: \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2024\u002F\">www.mobileye.com\u002Fces-2024\u002F\u003C\u002Fa>\u003Cspan data-contrast=\"none\">. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"none\">\u003Cu>Mobileye CES 2024 Events\u003C\u002Fu>\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"none\">CES 2024 Press Conference, \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">Mobileye: \u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">Now. Next. Beyond. \u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cspan data-contrast=\"none\">w\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cstrong>\u003Cspan data-contrast=\"none\">ith Prof. Amnon Shashua\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Tuesday, January 9, 2024, 11:00 a.m. PT\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2024\u002F\">Visit here for registration and livestream details\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">M\u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">obileye's Driving\u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem> \u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">Experience\u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem> \u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">Platform: Architecture, Abstractions, and \u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"none\">APIs \u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cstrong>\u003Cspan data-contrast=\"none\">with CTO Shai Shalev-Shwartz\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Wednesday, Jan 10, 2024: 1:00-1:40 p.m. PT\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2024\u002F\">Visit here for registration and livestream details\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">CES Session \u003C\u002Fspan>\u003C\u002Fstrong>\u003Cstrong>\u003Cem>\u003Cspan data-contrast=\"auto\">The Middle Lane: Self-Driving Cars\u003C\u002Fspan>\u003C\u002Fem>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Featuring Mobileye’s JJ Jungwirth\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Wednesday, January 10, 9:00-9:40 a.m. PT\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.ces.tech\u002Fsessions-events\u002Fauto\u002Fauto01.aspx\">Visit here for more information\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">+++\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335551550":2,"335551620":2,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"none\">Contacts\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"none\"> \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Dan Galves \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Investor Relations \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"mailto:investors@mobileye.com\">\u003Cspan data-contrast=\"none\">investors@mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"none\"> \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Justin Hyde \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Media Relations \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"mailto:justin.hyde@mobileye.com\">\u003Cspan data-contrast=\"none\">justin.hyde@mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{"201341983":0,"335559737":-6,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"none\">About Mobileye\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{"201341983":0,"335559737":-6,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 150 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\">\u003Cspan data-contrast=\"none\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"none\">.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559737":-6,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>","2023-12-20T08:00:00.000Z",[65,50,57,71,122,141],{"id":853,"type":142,"url":854,"title":855,"description":856,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":856,"image":857,"img_alt":858,"content":859,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":860,"tags":861},242,"valeo-has-produced-its-20-millionth-front-camera-system-integrating-mobileye-eyeq-technology","Valeo has produced its 20 millionth front camera system integrating Mobileye EyeQ® technology","The milestone comes only 12 months after producing the 10th million front camera.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F48ef07ed4d860edf1fef6e91a5cc1eed_1702488159134.jpg","Valeo's production line integrating Mobileye's EyeQ system-on-chip.","\u003Cp>On November 15, 2023, Valeo produced its 20 millionth front camera system containing Mobileye technology. This milestone comes only 12 months after reaching the 10th million front camera in November 2022. Up to 40,000 front cameras a day are manufactured in three production sites in Europe and China serving 12 OEMs.\u003C\u002Fp>\n\u003Cp>Valeo, world leader in advanced driving assistance systems (ADAS), started its collaboration with Mobileye in 2015, choosing to integrate into its front camera system hardware and software the Mobileye EyeQ® system-on-chip (SoC). Mobileye, with partners like Valeo, revolutionized driving assistance systems by taking computer vision technology to a next level in the automotive industry. Together, Valeo and Mobileye have combined their best in class technology and have developed and manufactured multiple generations of front camera systems. The strong collaboration between Valeo and Mobileye is now focused on the integration of the latest generation of the Mobileye SoC into the Valeo front camera system and also into Valeo’s cutting edge centralized computer and software.\u003C\u002Fp>\n\u003Cp>Valeo's front camera system using the Mobileye EyeQ contributes to the safety of road users by supporting key features such as autonomous emergency braking, adaptive cruise control, lane keeping assist, and traffic sign recognition. A front camera system is the key enabler in reaching safety requirements defined by authorities around the world, and we expect that by 2030 about 90% of all new cars will be equipped with advanced driver assistance technology.\u003C\u002Fp>\n\u003Cp>Marc Vrecko, President of Valeo’s Comfort and Driving Assistance Systems Business Group, said: “Valeo offers the largest portfolio of sensors and perception software available on the market. Front cameras are one of the key technologies for enhanced safety and will soon be set up on all vehicles. We are very proud to have reached this new milestone in the ramp up of our production and in our partnership with Mobileye. At Valeo, we strive to make our technology efficient, but also available to all and we are proud to be contributing to the safety of road users.\"\u003C\u002Fp>\n\u003Cp>\u003Cem>“\u003C\u002Fem>Since our founding we have focused on improving vehicle safety for drivers globally. Our ongoing success with Valeo demonstrates how far we’ve come together and the opportunies that lie ahead to bring even more advanced technologies to millions of vehicles over the next few years. We look forward to working with Valeo with the next-generation Mobileye EyeQ6 system-on-chip going into full production next year,\u003Cem>”\u003C\u002Fem> said Nimrod Nehushtan, Senior Vice President of Strategy and Business Development at Mobileye.\u003C\u002Fp>\n\u003Cp>Today, more than 90% of road accidents are caused by human error. ADAS are at the heart of the transformation of mobility, driven by enhancements in safety and comfort. The ADAS market is expected to grow by 17% per year to reach 60 billion euros in 2030. Valeo has the market’s most comprehensive portfolio of sensors (ultrasonic sensors, cameras, radars and LiDARs), software and associated intelligence. Beyond their collaboration for cameras, Mobileye and Valeo announced in September a new collaboration on software-defined imaging radars to support the next-generation of driver assist and automated driving features.\u003C\u002Fp>\n\u003Cp>\u003Cem>About Valeo: \u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>As a technology company and partner to all automakers and new mobility players, Valeo is innovating to make mobility cleaner, safer and smarter. Valeo enjoys technological and industrial leadership in electrification, driving assistance systems, reinvention of the interior experience and lighting everywhere. These four areas, vital to the transformation of mobility, are the Group's growth drivers.\u003C\u002Fp>\n\u003Cp>Valeo in figures: 20 billion euros in sales in 2022 | 109,900 employees at December 31, 2022 | 29 countries, 183 plants, 21 research centers, 44 development centers, 18 distribution platforms.\u003C\u002Fp>\n\u003Cp>Valeo is listed on the Paris Stock Exchange.\u003C\u002Fp>\n\u003Cp>\u003Cem>About Mobileye:\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) is driving the autonomous vehicle evolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 125 million vehicles worldwide have Mobileye technology inside. In 2022, Mobileye was listed as an independent company, separate from Intel (Nasdaq: INTC) which retains majority ownership of Mobileye.\u003C\u002Fp>","2023-12-13T08:00:00.000Z",[57,108,141],{"id":863,"type":142,"url":864,"title":865,"description":866,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":866,"image":867,"img_alt":868,"content":869,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":870,"tags":871},240,"mobileye-ceo-amnon-shashua-named-2023-automotive-all-star","Mobileye CEO Professor Amnon Shashua Named 2023 Automotive News All-Star","Mobileye is honored that CEO Professor Amnon Shashua has been recognized as a 2023 Automotive News All-Star.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc3ece88ac9b3ddf800b4db0127698987_1702298590764.png","Professor Amnon Shashua, Founder and CEO of Mobileye","\u003Cp>Professor Amnon Shashua has been recognized as a 2023 \u003Cem>Automotive News \u003C\u002Fem>All-Star, marking the second time he has received this award from \u003Cem>Automotive News\u003C\u002Fem>. The award recognizes automotive industry leaders who are \"making a significant impact on their companies and the industry at large\".\u003C\u002Fp>\n\u003Cp>The award, in the Automated Vehicles category, highlights Shashua’s leadership as Mobileye incrementally builds the bridge towards autonomous driving with products like Mobileye SuperVision™ and Mobileye Chauffeur™. Having contracts in place with automakers representing 34 percent of global auto production, Mobileye is at the forefront of the industry's evolution.\u003C\u002Fp>\n\u003Cp>In the context of his receiving this award, Shashua sat down with Pete Bigelow from the \u003Cem>Automotive News\u003C\u002Fem> podcast \u003Cem>Shift\u003C\u002Fem> and discussed the broader challenges of the autonomous vehicle industry, including regulatory considerations, market-specific adaptations, and the delicate balance between safety, efficiency, and cost.\u003C\u002Fp>\n\u003Cp>\u003Cem>\u003Ca href=\"https:\u002F\u002Fsoundcloud.com\u002Fuser-383952226\u002Fmobileyes-amnon-shashua-eyes-profits-on-road-to-full-autonomy?si=3efb4a875a2141c0acda67e3fe1886cf&utm_source=clipboard&utm_medium=text&utm_campaign=social_sharing\">Listen to the podcast now\u003C\u002Fa>\u003C\u002Fem>\u003C\u002Fp>","2023-12-11T08:00:00.000Z",[50,108,141,114],{"id":873,"type":14,"url":874,"title":875,"description":876,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":876,"image":877,"img_alt":878,"content":879,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":880,"tags":881},238,"mobileye-supervision-zeekr-19th-asian-games-china","Mobileye SuperVision™ performs at 19th Asian Games in China","Zeekr vehicles equipped with Mobileye hands-off\u002Feyes-on automated driving technology shuttled visitors around Hangzhou during the international sporting event.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F664ad7038fb5e45b46ed745347d29b7e_1699532117828.jpg","Zeekr 001 with Mobileye SuperVision™ at the 19th Asian Games in Hangzhou, China.","\u003Cp>Last month the 19\u003Csup>th\u003C\u002Fsup> Asian Games concluded in Hangzhou, China, bringing together some 12,000 athletes from 45 countries to compete in 481 events across 40 different sports. While the athletes competed in the stadiums and sports complexes across the city, Mobileye technology performed impressively on the surrounding roadways.\u003C\u002Fp>\n\u003Cp>Mobilized in support of the games was a fleet of Zeekr 001 and 009 vehicles equipped with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\">Mobileye SuperVision™\u003C\u002Fa>. The vehicles shuttled athletes, organizers, and media between the athletes' village on the east bank of the Qiantang River and the organizing committee headquarters on the west. The 30-minute route covered 12.6 kilometers (7.8 miles) of hands-off\u002Feyes-on urban driving, including tunnels, intersections, and traffic lights.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe7686af3910f797ec580f1bdcb0fb486_1699532858781.jpg\" alt=\"Mobileye SuperVision™ enables hands-off\u002Feyes-on driving capabilities in vehicles like the Zeekr 001.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fp>\n\u003Cp>The demo drives were conducted by Zeekr with support from Mobileye's AV team on the ground in China. The Zeekrs were among some \u003Ca href=\"https:\u002F\u002Fzgh.com\u002Fmedia-center\u002Fnews\u002F2023-09-03\u002F?lang=en\">2,000 vehicles dedicated for use during the games\u003C\u002Fa> by parent company Geely, which served as Official Mobility Partner for the 19\u003Csup>th\u003C\u002Fsup> Asian Games in Hangzhou. The Asian Games are regarded as the second largest multi-sport event in the world after the Olympics.\u003C\u002Fp>\n\u003Cp>The event followed just weeks after \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-supervision-pilot-functions-added-to-110000-zeekr-vehicles\u002F\">Zeekr over-the-air updated 110,000 of its vehicles\u003C\u002Fa> already in the hands of customers with a major upgrade to their Navigation Zeekr Pilot (NZP) assisted driving system. The upgraded system, based on Mobileye SuperVision, enables point-to-point automated highway navigation, lane changes, on\u002Foff-ramp assist, and intelligent traffic safety functions within identified operational design domains. The Asian Games' host city Hangzhou was among the first locations (alongside Shanghai) in which the feature was unlocked.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff161e816b30baa702b80ffbb10cbefcb_1699532917658.jpg\" alt=\"The Zeekr 001 and 009 were the first vehicles to reach the market with Mobileye SuperVision™.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\">Mobileye SuperVision\u003C\u002Fa> is the most advanced of our solutions currently on the market, bridging from today's driver-assistance systems to the self-driving vehicles of tomorrow. It's designed to enable the hands-off driving capabilities of an autonomous vehicle while under the driver's watchful eye. The system incorporates dual EyeQ™ systems-on-chips and 11 cameras for 360-degree computer vision coverage, along with our REM™-generated maps and RSS™-based driving policy.\u003C\u002Fp>\n\u003Cp>The \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-zeekr-ota-update\u002F\">Zeekr 001\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fzeekr-mobileye-supervision\u002F\">Zeekr 009\u003C\u002Fa> were the first vehicles with Mobileye SuperVision to reach the market. The technology has since been announced for integration into future models from \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fporsche-mobileye-supervision-collaboration\u002F\">Porsche\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fpolestar-selects-mobileye-to-bring-autonomous-technology-to-polestar-4\u002F\" target=\"_blank\" rel=\"noopener\">Polestar\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fsmart-chooses-mobileye-supervision-for-advanced-driving-automation\u002F\">Smart\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Ffaw-group-and-mobileye-forge-strategic-alliance-in-autonomous-driving\u002F\">FAW Group\u003C\u002Fa>.\u003C\u002Fp>","2023-11-20T08:00:00.000Z",[65,57],{"id":883,"type":142,"url":884,"title":885,"description":886,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":886,"image":887,"img_alt":888,"content":889,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":890,"tags":891},239,"polestar-4-to-integrate-luminar-lidar-with-mobileye-chauffeur","Polestar 4 to integrate Luminar lidar with Mobileye Chauffeur","A future version of the Polestar 4 will feature Mobileye Chauffeur eyes-off, hands-off technology using Luminar lidar.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fae921496490c0c06f0fe706d2806110b_1699555981959.jpg","The Polestar 4, which will feature Mobileye technology inside","\u003Cp>GOTHENBURG, SWEDEN –\u003Cstrong> \u003C\u002Fstrong>Polestar is working with Luminar, a leading automotive technology company, and Mobileye, a global leader in autonomous driving solutions, to enhance safety and the future autonomous driving capabilities of Polestar 4 with the integration of Luminar’s next-generation LiDAR technology with Mobileye's Chauffeur platform.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fmedia.polestar.com\u002Fglobal\u002Fen\u002Fmedia\u002Fpressreleases\u002F673327\">Announced in August\u003C\u002Fa>, Polestar 4 is planned to be the first production car to feature Mobileye Chauffeur, now with Luminar LiDAR, which builds upon the full-surround camera-based SuperVision platform available in Polestar 4 from launch. Together, the three companies aim to offer eyes-off, point-to-point autonomous driving on highways, as well as eyes-on hands off driving for other environments.\u003C\u002Fp>\n\u003Cp>With Mobileye Chauffeur, Polestar 4 is set to feature three Mobileye EyeQ6 processors, a front-facing LiDAR from Luminar, and Mobileye’s front-facing imaging radar to provide the extra layer of sensing and artificial intelligence needed to enable eyes-off, hands-off driving.\u003C\u002Fp>\n\u003Cp>LiDAR (Light Detection and Ranging) uses lasers to create a highly detailed 3D map of the surrounding environment. Luminar’s LiDAR is uniquely engineered from chip-level up and with a higher wavelength, enabling the greatest level of performance and safety capabilities for production cars. When coupled with Mobileye’s Chauffeur platform, the result will be a turnkey, safer and high-performing automated system.\u003C\u002Fp>\n\u003Cp>Building on the existing relationship between Luminar and Mobileye, the integration of Luminar LiDAR into Polestar 4 also expands the \u003Ca href=\"https:\u002F\u002Fmedia.polestar.com\u002Fglobal\u002Fen\u002Fmedia\u002Fpressreleases\u002F663533\">partnership between Luminar and Polestar\u003C\u002Fa> which was announced in January 2023.\u003C\u002Fp>\n\u003Cp>Thomas Ingenlath, Polestar CEO, says: “Polestar 4 comes with the highly advanced Mobileye SuperVision ADAS from the start, and we look forward to expanding that with Mobileye Chauffeur in the future. Being able to add Luminar’s industry-leading LiDAR to the platform’s development increases the strong link between our companies and brings even more world-class technology to Polestar 4.”\u003C\u002Fp>\n\u003Cp>Prof. Amnon Shashua, CEO of Mobileye, says: “Combining our base SuperVision with an independent second redundant perception system – consisting of Luminar LiDAR, radars and an imaging radar – enables true redundancy and a level of accuracy that lays the foundation for fully autonomous driving.”\u003C\u002Fp>\n\u003Cp>Austin Russell, founder and CEO of Luminar, says: “After collaborating with Mobileye on a solution since 2019, the true fruits of our labour are being realised for the first time by transitioning out of R&D and into a production vehicle with Polestar. Together, we look forward to raising the benchmark in the industry for what a safe and autonomous future can look like.”\u003C\u002Fp>","2023-11-09T08:00:00.000Z",[108,141,65],{"id":893,"type":14,"url":894,"title":895,"description":896,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":896,"image":897,"img_alt":898,"content":899,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":900,"tags":901},237,"intelligent-speed-assist-isa-computer-vision-adas-solution","Intelligent speed assist shows the power of Mobileye's vision","Our computer vision technology goes far beyond identifying speed limit signs to surpass the requirements of the EU's latest General Safety Regulation.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F24929c228c9cfb7de391db538376a7fc_1696853690263.png","Mobileye’s ISA solution employs an array of cutting-edge AI technologies to identify all manner of traffic signage.","\u003Cp>Mobileye is known throughout the automotive industry for our experience and leadership in computer vision technology for driver assistance. The latest product of that expertise is our new Intelligent Speed Assist solution.\u003C\u002Fp>\n\u003Cp>Announced just a few months ago, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-launches-the-first-camera-only-intelligent-speed-assist-to-meet-new-eu-standards\u002F\">Mobileye's new Intelligent Speed Assist (ISA) system\u003C\u002Fa> has been certified to surpass the rigorous new standards set out under \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fintelligent-speed-assist-general-safety-regulation\u002F\">the European Union's General Safety Regulation\u003C\u002Fa>. It's the first (and so far the only) such solution to do so based purely on camera-based computer vision technology… without relying on a third-party map or requiring any additional hardware.\u003C\u002Fp>\n\u003Cp>That makes Mobileye's new ISA system an exceptionally proficient, cost-effective, and easy-to-implement solution for automobile manufacturers, and a safety-enhancing feature for drivers of vehicles equipped with Mobileye technology.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>What is intelligent speed assist?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>One of the many \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhat-is-advanced-driver-assistance-system-adas\u002F\">driver-assist features\u003C\u002Fa> enabled by Mobileye technology, Intelligent Speed Assist is designed to help drivers stay within the legal speed limit by either passively alerting the driver or actively intervening to reduce the vehicle's speed.\u003C\u002Fp>\n\u003Cp>The cornerstone of any such system is traffic sign recognition (TSR), which employs \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcamera-first-approach-for-assisted-autonomous-driving\u002F\">computer vision technology\u003C\u002Fa> to identify and interpret traffic signs – including speed limit signs – and relays the information to the vehicle and its driver.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F4f0f1a21f5f1121d5331d016b40b0158_1696853806010.jpg\" alt=\"Mobileye's Intelligent Speed Assist solution is designed to help drivers stay within the legal speed limit.\" width=\"1611\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Cp>Traffic sign recognition is one of the essential types of signal provided by Mobileye's \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ™ systems-on-chip\u003C\u002Fa>, which have been fitted into over 150 million vehicles to date across hundreds of model lines from dozens of the world's leading automakers. The system is trained to recognize both explicit signs (which clearly post the speed limit in kilometers or miles per hour) and implicit signage (such as those indicating construction areas, school zones, and highway entrances and exits) that imply a change in the applicable speed limit. And it can recognize both permanent printed signs as well as temporary or variable digital signs.\u003C\u002Fp>\n\u003Cp>Our ISA solution goes beyond traffic sign recognition, however, to encompass traffic sign relevancy, signature-based classification, optical character recognition, and road-type classification technologies – all of which combine to deliver more robust speed-assistance capabilities.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Beyond recognition\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>With traffic sign relevancy, Mobileye's ISA solution is programmed to not only recognize traffic signs, but to determine to which lane they're applicable. That can help prevent errors that commonly trip up basic traffic sign recognition systems – like speed limit signs on highway offramps, for example. Such signs might apply only to vehicles exiting the highway, but are prone to being picked up by the cameras on vehicles remaining on the highway as they cruise by offramps in other lanes as well. In a passive system, false alerts might well prompt the driver to ignore future alerts or even switch off the system entirely, thereby undermining (if not totally defeating) its utility. In an active system, however, the problem could be even worse: a \"false positive\" might trigger actuation of the brakes in order to bring the vehicle down to a misidentified speed limit – potentially causing rear-end collisions from unexpectant following traffic.\u003C\u002Fp>\n\u003Cp>Meanwhile, signature-based classification \"future-proofs\" the technology by allowing vehicles equipped with our ISA solution to be updated with the visual \"signatures\" of new types of road signs that might be introduced long after the vehicle has left the factory. This feature can be particularly useful in Europe, where individual countries often implement different types of signage. (Mobileye's ISA solution also supports other countries outside the EU, such as Turkey and Israel, which also adopt GSR.)\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F8395f8b628dd7be826f13ebbb0b448e6_1696853965562.jpg\" alt=\"Mobileye's computer vision technology is trained to identify signage used in countries across Europe and around the world.\" width=\"1605\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Cp>With optical character recognition (OCR) capabilities, our ISA solution can also \"read\" textual signs that cannot be recognized by shape alone. That can help the system discern whether a reduced speed limit is in effect only during school hours, for example, or if a particular sign applies only to vehicles above a specific weight classification. It can also be especially useful in identifying the city name signs used in some parts of Europe to indicate the application of an urban speed limit.\u003C\u002Fp>\n\u003Cp>Road-type classification renders the system even more robust. This layer of the solution takes visual cues from other aspects of the driving environment and analyzes them using deep neural networks to determine what type of road is being traveled – and by extension, what the appropriate speed limit should be. That can be particularly helpful under conditions where signage may be missing, weathered, occluded, or otherwise difficult to read.\u003C\u002Fp>\n\u003Cp>One of the key factors that differentiates Mobileye technology is the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-ces-2022-self-driving-secret-data\u002F\">database of driving clips\u003C\u002Fa> that we've assembled over the course of many years of leadership in computer vision driver-assistance technology. Believed to be the largest in the industry, this database consists of tens of millions of video clips, encompassing an enormous variety of parameters and features of roadways from around the world – including local traffic signs.\u003C\u002Fp>\n\u003Cp>Training our algorithms on this enormous dataset means that when a vehicle equipped with Mobileye technology encounters a rare traffic sign, for example, chances are it has nonetheless \"seen\" it before, and knows what it's there to indicate. It also means that the system had already been internally validated on a wealth of real-world data before being independently certified by external parties.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Seeing is believing\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>So far, six independent labs located in five separate European countries have tested Mobileye's Intelligent Speed Assist system and certified that it meets or exceeds the new standard set out under this latest version of the EU's General Safety Regulation. The system was designed based on extensive consultation and close coordination with the \u003Ca href=\"https:\u002F\u002Fwww.acea.auto\u002F\">European Automobile Manufacturers’ Association (ACEA)\u003C\u002Fa> and the \u003Ca href=\"https:\u002F\u002Fclepa.eu\u002F\">European Association of Automotive Suppliers (CLEPA)\u003C\u002Fa>. And several major automakers are already implementing the solution in vehicles reaching markets across Europe and around the world.\u003C\u002Fp>\n\u003Cp>\"The successful launch, certification, and implementation of this new ISA solution stem from a great deal of hard work put in by many members of multiple teams across the company,\" says Amit Shainkopf, Driving Semantics Product Manager in Mobileye's R&D department. \"We're proud of the performance we've achieved through vision alone – but we're not stopping there. We're forging ahead to expand these capabilities to additional geographies. And Intelligent Speed Assist is just one of many driver-assistance products we aim to launch in the coming years – all with the goal of making cars, and the roads they drive on around the world, safer for everyone.\"\u003C\u002Fp>","2023-10-31T07:00:00.000Z",[57],{"id":903,"type":142,"url":904,"title":905,"description":906,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":906,"image":907,"img_alt":908,"content":909,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":910,"tags":911},236,"shanghai-jiaotong-university-names-amnon-honorary-professor","Shanghai Jiaotong University Names Prof. Amnon Shashua Honorary Professor","STJU recognized Amnon’s outstanding contributions to the field of AI before his lecture to 300 students and faculty members","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff9dbf90e71827e17f021f3d17a64e829_1696158764985.jpg","Amnon Shashua Receives Honorary Professorship From SJTU","\u003Cp>In a ceremony held on Tuesday, September 12, Professor Amnon Shashua was appointed as an honorary professor at the Global Institute of Future Technology and a guest professor at Shanghai Jiaotong University (SJTU).\u003C\u002Fp>\r\n\u003Cp>SJTU, renowned for its expertise in nurturing top engineers and scientists, welcomed Amnon to its campus, where he delivered a lecture, titled, \"The State of AI: Opportunities, Limitations and Dangers\" to an overflowing room of approximately 300 students, faculty, and experts.\u003C\u002Fp>\r\n\u003Cp>During the lecture, Professor Shashua spoke about the emergence of reasoning and abstraction in large language models (LLMs). While acknowledging advancements in reasoning, he explained the formidable challenge of LLMs to abstract from data, a capability inherent to human cognition. He provided examples, from joint work with Prof. Shai Shalev Shwartz, demonstrating the ongoing limitations in LLMs' ability to perform abstraction, indicating that this aspect of development does not look like a natural evolution in the field and may necessitate more substantial breakthroughs.\u003C\u002Fp>\r\n\u003Cp>The lecture concluded with an exploration of the pressing issue of AI alignment, by going over some recent results from his university research lab and from work with Shai, and the ongoing endeavors to establish safeguards for AI systems.\u003C\u002Fp>\r\n\u003Cp>You can watch the full lecture below:\u003Cbr>\u003Cbr>\u003C\u002Fp>\r\n\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FOiN9Jz27NKE?si=3QzG332h1KXqUmaC\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>","2023-10-02T07:00:00.000Z",[50,141],{"id":913,"type":14,"url":914,"title":915,"description":916,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":916,"image":917,"img_alt":918,"content":919,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":920,"tags":921},229,"volkswagen-id-buzz-mobileye-drive-iaa-mobility-2023","Volkswagen ID. Buzz showcases Mobileye Drive™ at IAA 2023","Electric passenger van on display in Munich incorporates Mobileye's turnkey self-driving solution for autonomous mobility-as-a-service.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F28dd1409e7c45b5d99ee67e3544ceeac_1695134996240.jpg","Showcased at IAA 2023, the VW ID. Buzz with Mobileye Drive™ is testing in Germany and the US. (Photo courtesy of Volkswagen.) ","\u003Cp>The Volkswagen ID. Buzz was one of the stars of this year's IAA Mobility show. On VW's show stand sat a bright yellow camper-van conversion for visitors to explore, while directly across the aisle at our booth, and in the test-drive area outside, appeared the self-driving version you see here.\u003C\u002Fp>\n\u003Cp>The ID. Buzz showcased by \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fdriving-evolution-autonomous-mobility-iaa-2023-munich\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye at the IAA\u003C\u002Fa> is one of the latest vehicles to incorporate Mobileye Drive™, our turnkey self-driving system, and it is \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fvolkswagen-commercial-vehicles-begins-av-testing-with-mobileye-drive\u002F\" target=\"_blank\" rel=\"noopener\">currently undergoing testing\u003C\u002Fa> on both sides of the Atlantic.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FDtM1ahkoR4A?si=45tNQ_Vomzo5XsI8\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>To deliver its autonomous driving capabilities, the vehicle features an array of sensors – including nine high-resolution cameras, four parking cameras, three long-range lidars, and six short-range lidars. To operate safely and effectively, it encompasses Mobileye’s unique tech innovations: True Redundancy™ sensing systems, REM™ crowdsourced AV maps, and the RSS™-based driving policy. \u003Cspan class=\"ui-provider ec bpo bpp bpq bpr bps bpt bpu bpv bpw bpx bpy bpz bqa bqb bqc bqd bqe bqf bqg bqh bqi bqj bqk bql bqm bqn bqo bqp bqq bqr bqs bqt bqu bqv\" dir=\"ltr\">For efficient processing power, it utilizes four EyeQ™6 High systems-on-chips. Future versions are slated to upgrade the EyeQ chips and augment their sensing suite with \u003Ca class=\"fui-Link ___10kug0w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1hu3pq6 f11qmguv f19f4twv f1tyq0we f1g0x7ka fhxju0i f1qch9an f1cnd47f fqv5qza f1vmzxwi f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" title=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-and-valeo-launch-partnership-for-world-class-imaging-radars\u002F\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-and-valeo-launch-partnership-for-world-class-imaging-radars\u002F\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Link our new imaging radars\">our new imaging radars\u003C\u002Fa>.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>The scope of the technologies on board and the autonomous driving capabilities they deliver make this one of the most advanced in a long line of projects Mobileye has undertaken with the Volkswagen Group to date. Previously announced collaborations include the industry's first camera-only Automatic Emergency Braking system with Audi, the first \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\">Cloud-Enhanced Driver-Assist™\u003C\u002Fa> application with Volkswagen, and integrating the eyes-on\u002Fhands-off driving capabilities of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fporsche-mobileye-supervision-collaboration\u002F\">Mobileye SuperVision™ into new Porsche models\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>This latest project has Volkswagen Commercial Vehicles \u003Ca href=\"https:\u002F\u002Fwww.vwpress.co.uk\u002Fen-gb\u002Freleases\u002F4984\" target=\"_blank\" rel=\"noopener\">testing ID. Buzz autonomous vehicles in Munich\u003C\u002Fa>, Germany, and Volkswagen Group of America \u003Ca href=\"https:\u002F\u002Fmedia.vw.com\u002Fen-us\u002Freleases\u002F1750\" target=\"_blank\" rel=\"noopener\">testing in Austin\u003C\u002Fa>, Texas. Once the vehicle is ready for widespread deployment, VW aims to commence autonomous ridesharing services through its own MOIA division in Europe, and with independent transport operators in the North America.\u003C\u002Fp>\n\u003Cp>The ID. Buzz was one of several autonomous vehicles driven by Mobileye on display at IAA this year. It was joined there by driverless shuttles from \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fholon-mover-ces-mobileye-drive\u002F\">HOLON\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.schaeffler.com\u002Fen\u002Fmedia\u002Fpress-releases\u002Fpress-releases-detail.jsp?id=87942401\">Schaeffler\u003C\u002Fa> – both of which are also enabled by \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fdrive\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye Drive\u003C\u002Fa>, the self-driving solution that's leading the industry towards the future of autonomous mobility.\u003C\u002Fp>\n\u003Cp>[**]gallery:volkswagen-id-buzz-at-iaa-2023[**]\u003C\u002Fp>","2023-09-28T07:00:00.000Z",[122,65,78,128],{"id":923,"type":14,"url":924,"title":925,"description":926,"primary_tag":121,"author_name":177,"is_hidden":47,"lang":173,"meta_description":926,"image":927,"img_alt":928,"content":929,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":930,"tags":931},234,"driving-evolution-autonomous-mobility-iaa-2023-munich","Driving the Evolution of Autonomous Mobility at IAA 2023","From assisted to autonomous driving, Mobileye showcased a full range of technologies and solutions at this year's mobility show in Munich.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc7b7ec2873d746f683aa0f9aee268a55_1695133339014.jpg","Mobileye's booth at IAA Mobility 2023 showcased the Zeekr 001 with Mobileye SuperVision™ and VW ID. Buzz with Mobileye Drive™.","\u003Cp>The future of the automobile was on display this month at \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fiaa-2023\u002F\">IAA Mobility\u003C\u002Fa>, Europe's premier exposition for automotive technology. Mobileye \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fiaa-mobility-2021-munich-wrap-up\u002F\">returned\u003C\u002Fa> to the event this year to demonstrate the technological innovations that are driving the evolution from assisted to autonomous driving.\u003C\u002Fp>\n\u003Cp>On stage, Johann Jungwirth, Mobileye's Senior Vice President of Autonomous Vehicles, delivered a keynote presentation on \"\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fjohann-jungwirth-the-road-to-self-driving-mobility-iaa-2023\u002F\">The Road to Self-Driving Mobility\u003C\u002Fa>\". Meanwhile, on both the show floor and the surrounding roadways, we showcased a broad range of cutting-edge technologies and solutions.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FfAZtAgYARjY?si=3Hlan1CHU6yUdg2c\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>For a taste of what we lined up for this year's show, you can watch the highlights video above, and take a tour of the Mobileye booth at the Messe München convention center in the video below.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F7OqvT2uxJgI?si=waOTPPF8uFJyisjy\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>Together with our partners, we announced some major news developments leading up to and during the show. In the video below, you'll hear about unlocking the potential of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-supervision-pilot-functions-added-to-110000-zeekr-vehicles\u002F\">Mobileye SuperVision™ with Zeekr\u003C\u002Fa> in China, a new eyes-on\u002Fhands-off \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fsmart-chooses-mobileye-supervision-for-advanced-driving-automation\u002F\">SuperVision project with Smart\u003C\u002Fa>, deploying \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fpolestar-selects-mobileye-to-bring-autonomous-technology-to-polestar-4\u002F\">true imaging radar with Valeo\u003C\u002Fa>, and the new \u003Ca href=\"https:\u002F\u002Fwww.schaeffler.com\u002Fen\u002Fmedia\u002Fpress-releases\u002Fpress-releases-detail.jsp?id=87942401\">roboshuttle from Schaeffler and VDL\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F199Kme9sovM?si=rglgbyfSYs1cd5ww\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>Read about the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fvolkswagen-id-buzz-mobileye-drive-iaa-mobility-2023\u002F\" target=\"_blank\" rel=\"noopener\">ID. Buzz autonomous vehicle featuring Mobileye Drive™\u003C\u002Fa>, and watch this space for more of what Mobileye had to show at IAA Mobility 2023.\u003C\u002Fp>","2023-09-20T07:00:00.000Z",[122,128],{"id":933,"type":142,"url":934,"title":935,"description":936,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":936,"image":937,"img_alt":938,"content":939,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":940,"tags":941},232,"faw-group-and-mobileye-forge-strategic-alliance-in-autonomous-driving","FAW Group and Mobileye Forge Strategic Alliance in Autonomous Driving","FAW Group aims to initially equip FAW Hongqi vehicles with Mobileye SuperVision™ and Mobileye Chauffeur™ technology, and build a deeper technological alliance.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa046fddaac665842923777c85e3987a5_1694684898541.png","Logos of FAW Group and Mobileye","\u003Cp>CHANGCHUN AND JERUSALEM — FAW Group, one of the largest Chinese automotive groups, and Mobileye (Nasdaq: MBLY), a global leader in autonomous driving solutions, have announced a new strategic partnership leveraging their respective industry advantages in software, hardware and technology products. The two sides will work together to create new products based on Mobileye SuperVision™ and Mobileye Chauffeur™ platforms, to empower customers with safe, enjoyable driving experiences.\u003C\u002Fp>\n\u003Cp>Mr. Qiu Xian Dong, chairman of BOD & secretary of the CPC FAW Group Committee , and Professor Amnon Shashua, President and CEO of Mobileye, held the signing ceremony on September 13, in Changchun. The two companies will start working together on FAW Hongqi brand vehicles, bringing the Mobileye SuperVision highly advanced automated driving assist platform to key models of the Hongqi brand. That will be followed closely by work toward integrating the Mobileye Chauffeur “eyes-off, hands-off\" driving technology for specified domains into the much-anticipated E701 vehicle. The Mobileye SuperVision projects are expected to be deployed by end of 2024, with the Mobileye Chauffeur projects targeted for launch by the end of 2025.\u003C\u002Fp>\n\u003Cp>Meanwhile, other brands of FAW Group are in line to gradually follow, using Mobileye’s platform solutions. In addition, the parties will conduct comprehensive discussions on feasible plans to further deepen their cooperation. \u003C\u002Fp>\n\u003Cp>As a pioneer of China's automotive industry, FAW Group has always been committed to building a world-class, green and intelligent mobility service company that consumers love. Throughout its 70 years of development, FAW Group has been constantly refreshing the user experience through technological innovation and service upgrades.\u003C\u002Fp>\n\u003Cp>Mobileye SuperVision will be an integral part of FAW's advanced driver assistance systems, promising an unparalleled driving experience in its category. Upon its integration Mobileye Chauffeur can provide “hands-off, eyes-off\" autonomy on specified operational domains, with adaptive eyes-on driving in other settings, using the Mobileye SuperVision cameras paired with a front-facing lidar and Mobileye imaging radar. Both systems will utilize Mobileye’s EyeQ™6 SoC, RSS™-based driving policy, a comprehensive 360-degree camera system, and precision mapping.\u003C\u002Fp>\n\u003Cp>“The target of the cooperation between FAW Group and Mobileye, both leaders in their respective fields, is to provide cutting edge ADAS and AV solutions in the Chinese market. This cooperation will deepen the partnership and alliance between the companies. Mobileye’s products will be first equipped on the Hongqi brand, and later expand to the other brands within the FAW Group,” said Mr. Qiu Xian Dong, Chairman of BOD & secretary of the CPC FAW Group Committee.\u003C\u002Fp>\n\u003Cp>“FAW's selection of Mobileye for this venture underscores the magnitude of this collaboration,” said Prof. Amnon Shashua, President and CEO of Mobileye. “Between the scale and expertise FAW has built over the past seven decades and our world-class technology, this alliance could shape the future of autonomous driving in the region and beyond. Drawing from our extensive experience of delivering our technology to more than 150 million vehicles globally, we see a future where autonomous driving improves transportation safety, convenience and accessibility for millions.”\u003C\u002Fp>\n\u003Cp>More details about the projects will be shared in the months ahead.\u003C\u002Fp>","2023-09-14T07:00:00.000Z",[57,141,65,108],{"id":943,"type":101,"url":944,"title":945,"description":946,"primary_tag":17,"author_name":947,"is_hidden":47,"lang":173,"meta_description":946,"image":948,"img_alt":949,"content":950,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":940,"tags":951},233,"are-we-on-the-edge-of-a-chat-gpt-moment-for-autonomous-driving","Are we on the edge of a “ChatGPT moment” for autonomous driving?","Prof. Shai Shalev-Shwartz and Prof. Amnon Shashua discuss the end-to-end approach for solving self-driving vehicle problems, asking if it is both sufficient and necessary.","Prof. Shai Shalev-Shwartz and Prof. Amnon Shashua ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff25b156deca6571a0ee6b607a893ba29_1694719403818.jpg","     ","\u003Cp>Large Language Models (LLMs) such as ChatGPT have revolutionized the world of natural language understanding and generation. Building such models generally has two stages: a general unsupervised pre-training step, and a specific Reinforcement Learning from Human Feedback (RLHF) step. In the pre-training phase, the system “reads” a large portion of the internet (trillions of words) and aims at predicting the next word given previous words, therefore learning the distribution of text over the internet. In the RLHF phase, humans are asked to rank the quality of different answers from the model to given questions, and the neural network is fine-tuned to prefer better answers.\u003C\u002Fp>\n\u003Cp>Recently, Tesla has \u003Ca href=\"https:\u002F\u002Fwww.cnbc.com\u002F2023\u002F09\u002F09\u002Fai-for-cars-walter-isaacson-biography-of-elon-musk-excerpt.html\" target=\"_blank\" rel=\"noopener\">indicated\u003C\u002Fa> they will adopt this approach for end-to-end solving of the self-driving problem. The premise is to switch from a well-engineered system comprised of data-driven components interconnected by many lines of codes to a pure data-driven approach comprised of a single end-to-end neural network. When examining a technological solution for a given problem, the two questions one should ask is whether the solution is \u003Cstrong>sufficient\u003C\u002Fstrong> and whether it is \u003Cstrong>necessary\u003C\u002Fstrong>:\u003C\u002Fp>\n\u003Cul style=\"padding-left: 43px;\">\n\u003Cli>Sufficiency: does this approach tackle all of the requirements of self-driving?\u003C\u002Fli>\n\u003Cli>Necessity: is this the best approach or is it an over-kill (trying to kill a fly with a rocket)?\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Some critical requirements of self-driving systems are transparency, controllability and performance:\u003C\u002Fp>\n\u003Col>\n\u003Cli>Transparency and Explainability: Driving systems must perceive and plan. Perception means creating a factual description of reality (the location of lanes, vehicles, pedestrians and so forth). Planning involves leveraging perception into driving decisions that must balance a tradeoff between usefulness and safety. For example, what speed should the car drive at a residential road with parked vehicles on its sides? Driving slower will be safer; say, in case a child runs into the street from between parked cars. But driving too slow will compromise the usefulness of the function and impede other vehicles. We believe how a self-driving vehicle balances such tradeoffs must be transparent so that society, through regulation, should have a say in decisions that affect all road users.\u003C\u002Fli>\n\u003Cli>Controllability: Reproducible system mistakes should be captured and fixed immediately, while not compromising the overall performance of the system. Furthermore, while human drivers take bad decisions from time to time, like not yielding properly or driving while impaired, society will not tolerate “lapses of judgement” of a self-driving system and every decision should be controllable.\u003C\u002Fli>\n\u003Cli>Performance: The Mean-Time-Between-Failures (MTBF) must be extremely high and non-reproducible errors (“black swans”) should be extremely rare.\u003C\u002Fli>\n\u003C\u002Fol>\n\u003Cp>Now, let us judge the end-to-end solution in light of the above requirements.\u003C\u002Fp>\n\u003Cp>For transparency, while it may be possible to steer an end-to-end system towards satisfying some regulatory rules, it is hard to see how to give regulators the option to dictate the exact behavior of the system in all situations. In fact, the most recent trend in LLMs is to combine them with symbolic reasoning elements – also known as good, old fashion coding. See for example \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2305.10601\" target=\"_blank\" rel=\"noopener\">Tree of Thoughts\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2308.09687\" target=\"_blank\" rel=\"noopener\">Graph-of-Thoughts\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2211.10435\" target=\"_blank\" rel=\"noopener\">PAL\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>For controllability, end-to-end approaches are an engineering nightmare. Evidence shows that the performance of GPT-4 over time \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2307.09009\" target=\"_blank\" rel=\"noopener\">deteriorates\u003C\u002Fa> as a result of attempts to keep improving the system. This can be attributed to phenomena like catastrophic forgetfulness and other \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2212.09251\" target=\"_blank\" rel=\"noopener\">artifacts of RLHF\u003C\u002Fa>. Moreover, there is no way to guarantee “no lapse of judgement” for a fully neuronal system. The trend in LLMs is to combine LLMs with external, code-based, tools in order to have guarantees on elements of the systems (e.g. “calculator” in \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2302.04761\" target=\"_blank\" rel=\"noopener\">Toolformer\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.ai21.com\u002Fblog\u002Fjurassic-x-crossing-the-neuro-symbolic-chasm-with-the-mrkl-system\" target=\"_blank\" rel=\"noopener\">Jurrasic-x neuro-symbolic system\u003C\u002Fa>).\u003C\u002Fp>\n\u003Cp>Regarding performance (i.e., the high MTBF requirement), while it may be possible that with massive amounts of data and compute an end-to-end approach will converge to a sufficiently high MTBF, the current evidence does not look promising. Even the most advanced LLMs make embarrassing mistakes quite often. Will we trust them for making safety critical decisions? It is well known to machine learning experts that the most difficult problem of statistical methods is the long tail. The end-to-end approach might look very promising to reach a mildly large MTBF (say, of a few hours), but this is orders of magnitude smaller than the requirement for safe deployment of a self-driving vehicle, and each increase of the MTBF by one order of magnitude becomes \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F1604.06915\" target=\"_blank\" rel=\"noopener\">harder and harder\u003C\u002Fa>. It is not surprising that the recent live demonstration of Tesla’s latest FSD by Elon Musk shows an \u003Ca href=\"https:\u002F\u002Fnypost.com\u002F2023\u002F08\u002F29\u002Felon-musk-almost-runs-red-light-livestreaming-tesla-software\u002F\" target=\"_blank\" rel=\"noopener\">MTBF of roughly one hour\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>Taken together, we see many concerns regarding the ability of an end-to-end approach to fully tackle the self-driving challenge. What we would further argue is that an end-to-end approach is an over-kill. The premise of a fully end-to-end approach is “no lines of code, everything should be done by a single gigantic neural network.” Such a system requires maintaining a huge model, with every single update carefully balanced - yet this approach goes against current trends in utilizing LLMs as components within real systems. One such trend is the neural-symbolic approach, in which the fully neuronal LLM is one component within a larger system that uses code-based tools (for example \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2302.04761\" target=\"_blank\" rel=\"noopener\">Toolformer\u003C\u002Fa>). Another trend is the expert approach, in which LLMs are fine tuned to specific, well defined tasks; and the evidence so far is that small dedicated models outperform significantly larger models (e.g. the \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F2308.12950\" target=\"_blank\" rel=\"noopener\">code LLaMa project\u003C\u002Fa>). These trends have implications on the data and compute requirements, showing that quality of data, architecture, and system design may be far more important than sheer quantity.\u003C\u002Fp>\n\u003Cp>In summary, we argue that an end-to-end approach is neither necessary nor sufficient for self-driving systems. There is no argument that data-driven methods including convolutional networks and transformers are crucial elements of self-driving systems, however, they must be carefully embedded within a well-engineered architecture.\u003C\u002Fp>",[65,50],{"id":953,"type":14,"url":954,"title":955,"description":956,"primary_tag":121,"author_name":177,"is_hidden":47,"lang":173,"meta_description":956,"image":957,"img_alt":958,"content":959,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":960,"tags":961},230,"johann-jungwirth-the-road-to-self-driving-mobility-iaa-2023","Johann Jungwirth on the road to self-driving mobility","Watch the keynote presentation delivered by Mobileye's Senior Vice President of Autonomous Vehicles at the 2023 IAA Mobility show in Munich.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F321c6156a782b93b7bed223e1473d7ba_1694085306154.jpg","Johann \"JJ\" Jungwirth addressed the industry at IAA 2023 on the bridge we're building from assisted to autonomous driving.","\u003Cp>This week the automotive industry descended on the Bavarian capital of Munich, Germany, for \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fiaa-2023\u002F\">IAA Mobility 2023\u003C\u002Fa> – one of the biggest automotive tech events of the year. Mobileye was there on the ground to showcase our latest technologies and solutions on the show floor, with demonstration vehicles on the surrounding roadways, and a keynote presentation delivered by Mobileye’s Senior Vice President of Autonomous Vehicles, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fjohann-jungwirth-driverless-tech-business-faz-podcast\u002F\">Johann \"JJ\" Jungwirth\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>JJ is a 25-year veteran of the industry and a leading authority on self-driving cars and the technological advancements required to make autonomous mobility a reality. In his keynote, entitled \"The Road to Self-Driving Mobility,\" JJ outlined Mobileye's established leadership in driver-assistance technologies and the bridge we're building to autonomous vehicles – from hands-off through eyes-off to completely driverless solutions.\u003C\u002Fp>\n\u003Cp>\"We take an incremental approach\" to autonomous mobility, \"looking at how these products can build on top of each other,\" JJ outlined in his presentation. \"We have solved the hard problems with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye SuperVision™\u003C\u002Fa>, our hands-off product. And that's the baseline for our eyes-off and driverless solutions\" – Mobileye Chauffeur™ and Mobileye Drive™.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fpolestar-selects-mobileye-to-bring-autonomous-technology-to-polestar-4\u002F\" target=\"_blank\" rel=\"noopener\">Vehicles equipped with Mobileye Chauffeur\u003C\u002Fa>, he projected, \"will be, probably for many of us, the first time we'll actually experience AV technology in consumer vehicles.\"\u003C\u002Fp>\n\u003Cp>Watch the full recording in the video below, and watch this space for more from IAA Mobility 2023.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUdQo7oncZbY?si=O-XtenmqSrnl2eME\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2023-09-07T07:00:00.000Z",[65,128,122],{"id":963,"type":142,"url":964,"title":965,"description":966,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":966,"image":967,"img_alt":968,"content":969,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":970,"tags":971},231,"smart-chooses-mobileye-supervision-for-advanced-driving-automation","smart chooses Mobileye SuperVision™ for advanced driving automation","Special edition model to feature SuperVision-based features for point-to-point automatic navigation on highways and urban expressways","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb276d53cdcc31545018c4b49dc242be4_1693990413776.png","Smart and Mobileye join forces for SuperVision","\u003Cp>\u003Cem>\u003Cspan data-contrast=\"none\">HANGZHOU AND JERUSALEM, 6 September 2023 — \u003C\u002Fspan>\u003C\u002Fem>\u003Cspan data-contrast=\"none\">smart, the new-premium intelligent all-electric auto brand, announced today a special upcoming model will feature Navigation smart Pilot (NSP) and a series of highly advanced driver-assistance features built upon the Mobileye SuperVision™ system. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">The special edition EV will offer smart Pilot Assist 2.0 version, which will be designed to gradually enable point-to-point automatic navigation on highways and urban expressways, automated lane changes, automated on\u002Foff-ramp assist and intelligent traffic safety functions within identified operational design domains, building off the existing strong safety performance in the smart #1. This special edition will also highlight smart’s global ambitions.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Mr. Yang Jun, Vice President of Global Research and Development at smart Automobile, said: \"Since the birth of the brand, smart has always been led by the vision of exploring the best solutions for future urban mobility. We believe that the smarter ADAS technology, will further enhance the competitiveness of the new generation of smart all-electric product family. Leveraging the R&D capability and the collaboration with industry leading partners, such as Mobileye, smart will continue elevating the brand’s technology label, providing more intelligent, safer urban mobility experience to the users.”\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">The SuperVision-based system leverages 11 cameras – including seven 8-megapixel cameras – and radar, along with a robust driving policy. \u003C\u002Fspan>\u003Cspan data-contrast=\"none\">The system runs on two Mobileye EyeQ5™ system-on-chips, an advanced custom 7-nanometer ADAS chipset, building on Mobileye’s two decades of experience in applied AI and machine learning to handle AI tasks with high energy efficiency, a key consideration for electric vehicles.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">“We’re excited to launch this new era of collaboration with the smart brand, offering new capabilities built from the foundation of our SuperVision technology,” said Johann Jungwirth, senior vice president of autonomous driving at Mobileye. “SuperVision complements smart’s commitment to offering the future of urban mobility globally.” \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">With today’s announcement, smart joins ZEEKR and Polestar in offering SuperVision-based services to customers. More details about the model will be released soon in the fourth quarter of 2023.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":0,"335559740":240}\"> \u003C\u002Fspan>\u003C\u002Fp>","2023-09-06T07:00:00.000Z",[141,108,65,57],{"id":973,"type":142,"url":974,"title":975,"description":976,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":976,"image":977,"img_alt":978,"content":979,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":980,"tags":981},227,"mobileye-supervision-pilot-functions-added-to-110000-zeekr-vehicles","Mobileye SuperVision™ Pilot functions added to 110,000 ZEEKR vehicles","OTA update brings innovative, point-to-point automated driving features to customers in China, and has already generated strong word-of-mouth reviews","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fzeekr_3054.jpg","ZEEKR 001 in Shanghai","\u003Cp>Jerusalem, 4 September 2023 — Global mobility technology brand ZEEKR has launched a major over-the-air update for 110,000 owners of the ZEEKR 001 electric vehicle with the global debut of new, highly automated driving assistance features built on the Mobileye SuperVision™ platform. The upgraded Navigation ZEEKR Pilot (NZP) driving assistant system has already received strong reviews from over 1,000 beta users, with class-leading performance.\u003C\u002Fp>\n\u003Cp>NZP leverages SuperVision’s 11 cameras – including seven 8-megapixel cameras – and surround fisheye cameras, along with a front radar and robust driving policy. Key features of NZP include point-to-point automated highway navigation, lane changes, automated on\u002Foff-ramp assist and intelligent traffic safety functions in identified operational design domains.\u003C\u002Fp>\n\u003Cp>The system runs on two Mobileye EyeQ™5 systems-on-chip, an advanced custom 7-nanometer ADAS chipset, building on Mobileye’s two decades of experience in applied AI and machine learning to handle AI tasks with high energy efficiency, a key factor for electric vehicles.\u003C\u002Fp>\n\u003Cp>Thanks to these enabling technologies, NZP can react similarly as a human driver might to everyday driving scenarios within its operational design domains. It can sense speed limit changes, merge into or overtake traffic, and navigate with an appropriate safety margin for construction zones, pedestrians and other road hazards, even in low-light conditions. It also reacts smartly to the other drivers on the road, understanding their behavior, using human-like motions to efficiently merge and mimicking how drivers tend to negotiate key road features. The functions are well recognized by leading industry media for its safety and efficiency performance.\u003C\u002Fp>\n\u003Cp>The system will first be available in the cities of Shanghai and Hangzhou, with multiple cities being added over the next few months. ZEEKR 009 multi-purpose vehicle owners are expected to receive a similar OTA update later this year.\u003C\u002Fp>\n\u003Cp>“We’re proud of the work we’ve done with ZEEKR to launch this successful update of NZP built on the Mobileye SuperVision™ platform,” said Prof. Amnon Shashua, President and CEO of Mobileye. “This jump forward points toward the full power of SuperVision that will enable ZEEKR to provide a seamless and reliable highly assisted driving experience in highway and urban settings. From what we’ve seen, NZP powered by SuperVision has become a market leader, raising the bar not only in China but worldwide.”\u003C\u002Fp>\n\u003Cp>“As a strategic partner of Mobileye, ZEEKR is pleased to provide the industry-leading NZP solution to users to make travel safer and more efficient,” said Andy An, CEO of ZEEKR. “We will continue to further advance technologies to maintain our industry leadership globally.”\u003C\u002Fp>\n\u003Cp>The SuperVision platform enables advanced driver-assist features at up to 130 kilometers per hour, on all road types, as monitored by the driver. It builds on Mobileye’s heritage for automotive safety features and driver assist technologies like automatic emergency braking, and lays the pathway towards fully autonomous consumer vehicles and robotaxis in the near future.\u003C\u002Fp>\n\u003Cp>Under the expanded collaboration with Geely Group, three additional brands under Geely Group’s umbrella are due to leverage Mobileye SuperVision for advanced ADAS, including Polestar. ZEEKR’s new ZEEKR 001 FR quad-motor sports car, which can accelerate from 0 to 100 kph with just 2.08 seconds with rolling start, is the latest model launched to be equipped with Mobileye SuperVision™ platform.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Media Contact: \u003C\u002Fstrong>Justin Hyde, \u003Ca href=\"mailto:Justin.hyde@mobileye.com\">Justin.hyde@mobileye.com\u003C\u002Fa>\u003C\u002Fp>","2023-09-04T07:00:00.000Z",[108,65,141],{"id":983,"type":142,"url":984,"title":985,"description":986,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":986,"image":987,"img_alt":988,"content":989,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":980,"tags":990},228,"mobileye-and-valeo-launch-partnership-for-world-class-imaging-radars","Mobileye and Valeo Launch Partnership for World-Class Imaging Radars","Valeo and Mobileye will work together to bring high-definition imaging radars to production for global automakers.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1a4350d1a77e6c5a7d503dc7fdd64728_1693574090523.png","Bounding boxes illustrate how imaging radar helps AV sensing","\u003Cp>At IAA Mobility 2023 in Munich today, Mobileye and Valeo announced a new partnership to deliver software-defined, best-in-class imaging radars for next-generation driver assist and automated driving features.\u003C\u002Fp>\n\u003Cp>By joining forces, Mobileye and Valeo can quickly bring a promising new technology to automakers worldwide that enables more intelligent vehicles. As a key part of sensing systems for automated driving, imaging radar will be an enabling element for more advanced hands-off ADAS solutions and eyes-off automated driving features on highways and urban streets.\u003C\u002Fp>\n\u003Cp>“Mobileye and Valeo’s Imaging radar collaboration significantly advances a new and exciting phase in automotive safety and performance,” said Nimrod Nehushtan, Mobileye’s Executive Vice President of Business Development and Strategy. “In this collaboration, automakers gain access to the latest cutting edge technology from Mobileye that they can trust will exceed industry expectations as we have proven before, while benefiting from the customization, industrialization, testing and support capabilities brought by Valeo. Our collaboration to deliver imaging radar to automakers benefits the industry, and ultimately, drivers globally.”\u003C\u002Fp>\n\u003Cp>Marc Vrecko, President of Valeo’s Comfort and Driving Assistance Systems Business Group, said:\u003Cem> \u003C\u002Fem>“This partnership reinforces the strong relationship between Valeo and Mobileye. We are proud to collaborate together on Imaging radar technology, which will be essential in the future of autonomous mobility. This is a great illustration of Valeo’s technological leadership in ADAS and of its capability to produce innovative technologies at scale. This collaboration will contribute to Valeo’s commitment to offer affordable, smarter and safer mobility.“\u003C\u002Fp>\n\u003Cp>Mobileye’s imaging radars use advanced architecture, including Massive MIMO (multiple-input, multiple-output) antenna design, a high-end radio frequency design developed in-house, and high-fidelity sampling – all enabling accurate object detection and higher dynamic range. Thanks to an integrated system-on-chip design that maximizes processor efficiency, and world-leading algorithms for interpreting radar data, the imaging radar delivers a detailed, four-dimensional image of surroundings up to 300 meters away and beyond. With a 140-degree field-of-view at medium range and 170-degree field-of-view in close range, the radar enables more accurate detection of pedestrians, vehicles or obstructions that other sensors might miss – even on crowded urban streets.\u003C\u002Fp>\n\u003Cp>Mobileye has already seen high market interest for its Imaging radar from the industry as automakers look to expand the operational design domains of their automated driving features. Valeo has simultaneously received indications of strong demand from the market for imaging radar that achieves optimal performance.\u003C\u002Fp>\n\u003Cp>Valeo, world leader in Advanced Driver Assistance Systems (ADAS), has been developing and mass-producing radar technologies since 2006. Valeo will lead the system design of the new imaging radar product by integrating Mobileye’s groundbreaking imaging radar technology and corresponding software and algorithms embedded in the Mobileye Radar chipset into Valeo’s automotive software and hardware radar solutions. Valeo will meet and adapt to the latest and most stringent software and hardware requirements from automotive players, including functional safety, cybersecurity, fast communication protocols with vehicle networks, electromagnetic robustness, and validation of overall system performance and endurance during vehicle lifetime. Leveraging Valeo’s expertise in producing the latest automotive technologies at scale and its global industrial footprint, the complete Imaging radar solution will be produced by Valeo\u003C\u002Fp>\n\u003Cp>This new partnership expands Mobileye and Valeo successful collaboration on front-facing cameras and other driver assist solutions. Since 2015, the partners have delivered more than 15 million Smart Front Cameras worldwide.\u003C\u002Fp>",[108,93,65,57,141],{"id":992,"type":142,"url":993,"title":994,"description":995,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":995,"image":996,"img_alt":997,"content":998,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":999,"tags":1000},226,"ecarx-announces-mobileye-collaboration-for-polestar-future-products","ECARX announces Mobileye collaboration for Polestar, future products ","ECARX Holdings plans to integrate Mobileye Chauffeur™ in the Polestar 4","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa8a3701e248dd7d6cc1e7981ddee5bfc_1693230024446.png","The Polestar 4","\u003Cp>Today, ECARX Holdings announced a collaboration with Mobileye for future autonomous and advanced driver-assist technology. ECARX plans to serve as the integrator for the Mobileye Chauffeur™ platform in the Polestar 4 that will offer hands-off, eyes-off autonomous driving on controlled-access highways in operational-defined domains. ECARX and Mobileye also intend to collaborate on a EyeQ6L-based driver-assist solution, using the latest EyeQ™6 automotive-grade system-on-chip, to serve the diverse needs of the Chinese market.\u003C\u002Fp>\n\u003Cp>Mobileye’s Chauffeur adds a layer of active radar and lidar sensor to Mobileye’s class-leading computer vision perception to create two subsystems working separately and in parallel to ensure redundancy. It also includes Mobileye’s proprietary driving policy platform that can be customized by the automaker. All these elements are designed to run on the ultra-efficient EyeQ6® SoC.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fir.ecarxgroup.com\u002Fnews-releases\u002Fnews-release-details\u002Fecarx-collaborate-mobileye-build-integrated-driver-assist\" target=\"_blank\" rel=\"noopener\">Read more about the announcement here\u003C\u002Fa>.\u003C\u002Fp>","2023-08-28T07:00:00.000Z",[108,141,65,57],{"id":1002,"type":142,"url":1003,"title":1004,"description":1005,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1005,"image":1006,"img_alt":1007,"content":1008,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":17,"publish_date":1009,"tags":1010},224,"polestar-selects-mobileye-to-bring-autonomous-technology-to-polestar-4","Polestar selects Mobileye to bring autonomous technology to Polestar 4","Mobileye Chauffeur™ technology platform to be integrated into Polestar 4","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9c648af2ec5ed4a529249523564dbc08_1692898654016.png","The Polestar 4 electric SUV Coupe. ","\u003Cp>HONG KONG AND JERUSALEM, 25 August 2023 — Polestar and Mobileye (Nasdaq: MBLY and PSNY) are to collaborate to bring autonomous technology to Polestar 4 with potential for other vehicles, using the Mobileye Chauffeur™ AV platform that will be manufactured and integrated by ECARX.\u003C\u002Fp>\n\u003Cp>The intended collaboration reflects Polestar’s mission to not only deliver world-class design and sustainability in its cars, but cutting-edge innovation as well. Mobileye Chauffeur will add an extra layer of on-demand convenience to Polestar’s performance electric vehicles that are primarily designed for driver engagement and exciting dynamics.\u003C\u002Fp>\n\u003Cp>Polestar 4, which goes on sale in China today and globally in 2024, lays the foundation for this technology by featuring a Mobileye SuperVision™-based advanced driver assistance system from the start.\u003C\u002Fp>\n\u003Cp>At launch, Chauffeur will offer hands-off and eyes-off, point-to-point autonomous driving on highways , as well as eyes-on automated driving for other environments, in identified operational design domains.\u003C\u002Fp>\n\u003Cp>Thomas Ingenlath, Polestar CEO, comments: “We are very keen to push innovation in our performance electric vehicles together with Mobileye. We know that driving yourself is not always fun and exciting – this technology means our customers could enable autonomous driving when they want, making all future journeys enjoyable.”\u003C\u002Fp>\n\u003Cp>Both SuperVision and Chauffeur feature Mobileye’s EyeQ™ systems-on-chip, RSS™-based driving policy, 360-degree surround camera system, and REM™-powered Mobileye Roadbook™ map. Chauffeur upgrades SuperVision with the newest EyeQ6 system-on-chip along with next-generation active radar and lidar sensors, providing the additional sensing layer needed for eyes-off autonomous operation – demonstrating how existing eyes-on systems build a bridge to fully autonomous driving.\u003C\u002Fp>\n\u003Cp>“We congratulate Polestar on innovating in consumer vehicles through this program and are proud of our continuing work with the Geely Group in adopting our technology portfolio,” said Prof. Amnon Shashua, President and CEO of Mobileye. “Mobileye Chauffeur will offer consumers a safer, accessible way to enjoy autonomous vehicles as the next revolution in personal transportation. It’s the pinnacle of two decades of our experience applying AI in more than 150 million vehicles worldwide.”\u003C\u002Fp>\n\u003Cp>More details about the integration will be released closer to production launch.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 150 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&url=https%3A%2F%2Fwww.mobileye.com&esheet=53539903&newsitemid=20230817465845&lan=en-US&anchor=https%3A%2F%2Fwww.mobileye.com&index=2&md5=dc09cc0681f253ba2b178bfdedda4ac0\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Polestar\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Polestar (Nasdaq: PSNY) is the Swedish electric performance car brand determined to improve society by using design and technology to accelerate the shift to sustainable mobility. Headquartered in Gothenburg, Sweden, its cars are available online in 27 markets globally across North America, Europe and Asia Pacific.\u003C\u002Fp>\n\u003Cp>Polestar plans to have a line-up of five performance EVs by 2026. Polestar 2, the electric performance fastback, launched in 2019. Polestar 3, the SUV for the electric age, launched in late 2022. Polestar 4, the SUV coupé transformed, is launching in phases through 2023 and into 2024. Polestar 5, an electric four-door GT and Polestar 6, an electric roadster, are coming soon.\u003C\u002Fp>\n\u003Cp>The Polestar 0 project is the company’s ambitious goal of creating a truly climate-neutral production car by 2030. The research initiative also aims to create a sense of urgency to act on the climate crisis, by challenging employees, suppliers and the wider automotive industry, to drive towards zero.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Media Contact: \u003C\u002Fstrong>Justin Hyde, \u003Ca href=\"mailto:justin.hyde@mobileye.com\">justin.hyde@mobileye.com\u003C\u002Fa>, +01 202-656-6749\u003C\u002Fp>","2023-08-25T07:00:00.000Z",[65,141,108],{"id":1012,"type":142,"url":1013,"title":1014,"description":1015,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":1015,"image":1016,"img_alt":1017,"content":1018,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1019,"tags":1020},220,"volkswagen-commercial-vehicles-begins-av-testing-with-mobileye-drive","Volkswagen Commercial Vehicles Begins AV Testing with Mobileye Drive™️ ","New VW Pilots Kick Off in Munich, Germany and Austin, Texas","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F487800bab83702bc31049912c78a3e01_1690726252678.png","An all-electric Volkswagen ID. Buzz equipped with Mobileye Drive™️ self-driving technology in Munich, Germany","\u003Cp>Volkswagen Commercial Vehicles has begun testing a self-driving version of the ID. Buzz electric vehicle with Mobileye Drive technology on two continents. In Munich, Germany, and Austin, Texas, Volkswagen will validate the Mobileye Drive-equipped ID. Buzz vehicles with safety drivers on public roads, towards a goal of series production. \u003C\u002Fp>\n\u003Cp>Mobileye Drive incorporates advanced EyeQ™️ Systems-on-Chip (SoCs), as well as Mobileye’s sensing, mapping, and driving policy technologies, to create a unique, full-stack autonomous driving system that can adapt to new locations.  \u003Cbr \u002F> \u003Cbr \u002F>You can read more about Volkswagen's testing in Austin \u003Ca href=\"https:\u002F\u002Fmedia.vw.com\u002Fen-us\u002Freleases\u002F1750\">here\u003C\u002Fa> and Munich \u003Ca href=\"https:\u002F\u002Fwww.vwpress.co.uk\u002Fen-gb\u002Freleases\u002F4984\">here\u003C\u002Fa>.   \u003C\u002Fp>","2023-07-31T07:00:00.000Z",[65,141],{"id":1022,"type":14,"url":1023,"title":1024,"description":1025,"primary_tag":85,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1025,"image":1026,"img_alt":1027,"content":1028,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":17,"publish_date":1029,"tags":1030},219,"nimrod-nehushtan-rem-cloud-enhanced-adas-autotech-detroit","The Road to the Future of Mobility is Being Mapped by REM™","\"REM crowdsourced mapping is the foundation on which all our advanced products are built,\" Mobileye SVP Nimrod Nehushtan outlined at AutoTech: Detroit 2023.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F27128f45322c483eaa0cad2e9774c409_1690275739608.jpg","Road Experience Management™ harnesses the power of the crowd to enhance a range of assisted and autonomous driving solutions.","\u003Cp>For more than two decades, Mobileye has been providing the automotive industry with computer-vision technology for advanced driver-assistance systems (ADAS). Today, we offer a full range of mobility solutions, from enhanced ADAS to turnkey self-driving systems. The unique element enabling that expansion and paving the road to the future of mobility, arguably more than any other, is REM™.\u003C\u002Fp>\n\u003Cp>Short for \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\">Road Experience Management™\u003C\u002Fa>, REM is Mobileye's proprietary crowdsourced, cloud-connected mapping technology. Nimrod Nehushtan, Mobileye's Senior Vice President of Business Development & Strategy and co-General Manager of REM, spoke at \u003Ca href=\"https:\u002F\u002Fwardsauto.informa.com\u002Fautotech-detroit-agenda\u002F\">AutoTech: Detroit 2023\u003C\u002Fa> about this pivotal technology – which we believe is not only essential to tomorrow's autonomous vehicles, but game-changing for today's driver-assistance systems as well.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Question: Why do vehicles need maps?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Answer: \"A safe and comfortable driving experience relies on a correct and consistent understanding of a lot of different features and attributes of the road,\" Nehushtan explains – from lane marks and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fintelligent-speed-assist-general-safety-regulation\u002F\">traffic signs\u003C\u002Fa> to the curvature of the road. \"There is a lot of variation between geographies, between cities – even within the same country. And different conventions of how traffic lights, for example, are positioned, where they are positioned, how they are associated to driving lanes, and so on. And understanding this through onboard sensors alone [in real time] is a very complicated task.\"\u003C\u002Fp>\n\u003Cp>That's fundamentally why autonomous (among other) vehicles need maps, which provide the vehicle with such information ahead of time. But REM goes beyond the details of the road itself to encompass knowledge of how those roads are used.\u003C\u002Fp>\n\u003Cp>\"When you drive from home to work, you're familiar with the road. You can anticipate what's coming, so you're much less likely to do something dangerous. On the other hand, if you're driving in a new place you've never been before, you're much more likely to do something dangerous, because you don't even understand the rules of the game\" as they're applied in the local driving culture.\u003C\u002Fp>\n\u003Cp>\"That preexisting memory is very useful when driving. And it is very important for us to understand properly, to conceive the driving rules, the driving structure of the road, the dos and don'ts for each and every road in order to drive safely and comfortably everywhere.\" REM is engineered to provide both autonomous vehicles and (through our Cloud-Enhanced Driver-Assist™ solution detailed below) human drivers as well with that familiarity of any road they might drive on… as if they’ve driven there before, even if they haven’t.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9c7590a4ad84a17d7eba1ad576af71d1_1690276739495.jpg\" alt=\"REM aggregates data from millions of vehicles on the road equipped with Mobileye technology.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Q: How does REM crowdsourced mapping work?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>A: \"The common approach today to building high-definition maps is to build a survey fleet that has a lot of different sensors – like lidars and inertial navigation systems and so on. You build this fleet that is relatively expensive and you operate this fleet in areas you want to map,\" explains Nehushtan. \"The problem with this approach is that it is very, very hard to scale\" to cover areas large enough to be useful. In addition, \"without an inherent capability to update the maps and keep them fresh, the product itself will maybe be useful on day one, but as time goes by, it will start to deteriorate.\"\u003C\u002Fp>\n\u003Cp>Mobileye takes a decidedly more efficient and scalable approach to mapping that builds upon our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002F100-million-eyeq-chips\u002F\">established leadership in driver-assistance technology\u003C\u002Fa>. \"We have been delivering safety products in the automotive industry for over two decades now.\" In 2022 alone, \"we delivered more than 33 million products, 33 million \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Feyeq6-system-on-chip\u002F\">chips\u003C\u002Fa>, which means 33 million cars\" driving around with our computer vision technology on board, monitoring and detecting the parameters of their surroundings.\u003C\u002Fp>\n\u003Cp>\"Our idea was to leverage this capability and to simply upload data from these systems to a cloud. It's like uploading a lot of pieces of a puzzle to a cloud,\" where the pieces are put together to create a complete picture of the driving environment. Running all this data through a complex array of proprietary algorithms renders a detailed map of roadways around the world that can be used in \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">a range of ADAS and AV applications\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7806008bec15a0ea019257cf57e32a53_1690276876264.jpg\" alt=\"Information like lane-level traffic-light relevancy helps REM enhanced driver-assistance systems with crowdsourced data.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Q: What kinds of mobility solutions benefit from REM?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>A: \"Having all this history and all this knowledge of how hundreds and thousands of different people drove on [a given] road over a long period of time allows us to give a kind of ‘superpower’ to the system using this map,\" says Nehushtan. \"This database can be used for whatever features we want to offer, whether it's autonomous driving or enhanced driver-assist features.\"\u003C\u002Fp>\n\u003Cp>That starts with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\">Cloud-Enhanced Driver-Assist\u003C\u002Fa>, which marries our proven experience in ADAS tech with the benefits of REM.\u003C\u002Fp>\n\u003Cp>Take, for example, alerting a driver that they're approaching a red light. What might seem like a relatively straightforward function is anything but simple to implement in practice, due especially to the complexity and local variability of traffic-light placement.\u003C\u002Fp>\n\u003Cp>\"You cannot think of a car [today] that offers a safety solution for red light crossing, like emergency braking or alerting when you are about to enter a junction [through] a red light,\" notes Nehushtan. \"Understanding which traffic light is relevant to the lane you're in is a complicated problem. Now, having this database in the cloud allows us to solve this problem by simply connecting the system today to a cloud.\" Armed with the knowledge of which traffic signals are relevant to the lane it's in, the system can alert the driver if they're about to run a red light, helping to avoid potential collisions with cross-traffic, pedestrians, and other road users.\u003C\u002Fp>\n\u003Cp>With Cloud-Enhanced Driver-Assist, several automakers are already using REM to enhance the ADAS in their vehicles. And we're building an array of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fhands-off-eyes-off-taxonomy-for-automated-driving\u002F\">increasingly automated solutions\u003C\u002Fa> incorporating the technology. As Nehushtan points out, \"REM crowdsourced mapping is the foundation on which all of these products are built.\"\u003C\u002Fp>\n\u003Cp>Watch the full presentation below.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F3ldGty5Uz0k\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2023-07-25T07:00:00.000Z",[128,65,57,86],{"id":1032,"type":142,"url":1033,"title":1034,"description":1035,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1035,"image":1036,"img_alt":1037,"content":1038,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1039,"tags":1040},218,"mobileye-launches-the-first-camera-only-intelligent-speed-assist-to-meet-new-eu-standards","Mobileye Launches the First Camera-Only Intelligent Speed Assist to Meet New EU Standards","Mobileye’s new sign-detection technology has received formal homologation across Europe – the first vision-only solution that meets the new EU requirements – and is expected to go into production from Q4 2023.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F304f1e110bd310ae8841cb388957ae92_1689672627940.jpg","Using only cameras, Mobileye technology can detect a wide array of traffic signs to support Intelligent Speed Assist systems.","\u003Cp>Mobileye has introduced the world’s first vision-only Intelligent Speed Assist (ISA) solution for automakers, following testing and certification across Europe. The camera-only solution, launching in production vehicles this year, helps global automakers meet new European Union (EU) General Safety Regulation (GSR) standards requiring automatic sensing of speed limits in all new vehicle models, without the need to rely on third-party map and GPS data.\u003C\u002Fp>\n\u003Cp>The new software, designed for Mobileye’s EyeQ platform, has been certified for use in all 27 EU countries as well as Israel, Norway, Switzerland, and Turkey. The EyeQ4 and EyeQ6-based ISA system allows OEMs whose vehicles already integrate these chips to meet the new standards merely by updating the EyeQ’s existing software, without any new hardware requirements.\u003C\u002Fp>\n\u003Cp>The Mobileye ISA system is expected to be integrated by a major global auto group into two vehicle brands for models going on sale in Europe later this year, with three other global automakers following close behind in 2024 and beyond.\u003C\u002Fp>\n\u003Cp>“This is a major accomplishment for Mobileye, because we’ve proven to the industry not only that achieving GSR-compatible vision-only ISA is possible, but also that it performs better than traditional map-based solutions,” said Dr. Gaby Hayon, Executive Vice President of Research and Development at Mobileye.\u003C\u002Fp>\n\u003Cp>The certified solution, resulting from more than two years of work building on Mobileye’s two decades of experience in computer vision and machine learning, is the industry’s first of its kind. Current alternatives rely on a combination of cameras and low-resolution maps to meet the EU standards, a solution that typically brings higher cost with complexity and integration efforts, while providing less reliable performance. \u003C\u002Fp>\n\u003Cp>Mobileye has developed several cutting-edge technologies that upgraded the legacy traffic sign recognition technology to meet GSR requirements, including:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>Traffic sign relevancy\u003C\u002Fstrong> technology that identifies whether a speed sign is relevant to a specific lane,\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Signature-based classification\u003C\u002Fstrong> that loads the \"signature\" of a new traffic sign to the vehicle, even for new signs that were introduced after the vehicle’s manufacture,\u003C\u002Fli>\n\u003Cli>\u003Cstrong>OCR-\u003C\u002Fstrong>based city entrance identification for European-style signs,\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Advanced search engines \u003C\u002Fstrong>that enable finding examples of rare signs in Mobileye’s huge clips database and integrating them into the system, and\u003C\u002Fli>\n\u003Cli>\u003Cstrong>A road-type classifier\u003C\u002Fstrong> that can work out the right speed, even when traffic signs are missing, by using different cues in the scene to detect the road type.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>“Mobileye’s 400-petabyte database of driving footage, gathered from around the world, enables us to rapidly meet the growing requirements of automotive safety regulators with new software designed for our existing driver-assist platforms,” said Hayon. “After successfully \u003Cem>surpassing\u003C\u002Fem> GSR ISA standards during stringent testing, we look forward to collaborating with automakers to implement this lifesaving technology in Europe and beyond.”\u003C\u002Fp>\n\u003Cp>As of July 2024, all new passenger vehicles sold in the EU must meet specific GSR ISA requirements, as confirmed by rigorous testing, such as being able to detect static and dynamic message speed-limit signage across hundreds of signs, with thousands of country-specific variants, including both explicit and implicit signs, and in harsh weather and adverse lighting conditions. They must also understand temporary speed limits for construction, accidents, or other issues, often given by digital signage, and implicit speed limits such as city entrance.\u003C\u002Fp>\n\u003Cp>Speeding contributes to one third of fatal vehicle crashes in EU Member States according to the European Road Safety Observatory, and experts say the new regulations could reduce collisions by as much as 30 percent, and fatalities by up to 20 percent. Under the new regulation, all systems will be required to let drivers know what speed limits are in effect either actively- in which a vehicle automatically slows down gently towards a posted limit--or passively, in which the ISA system alerts drivers when they exceed posted limits.  \u003C\u002Fp>\n\u003Cp>Six independent labs across five different European countries have tested and confirmed that Mobileye’s ISA software meets or exceeds the EU's required standards, with additional testing and certification underway. In the future, Mobileye will continue advancing the system to ensure new sign recognition over the next 14 years per GSR certification requirements.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Ciframe src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F846189161?title=0&byline=0\" width=\"425\" height=\"350\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye Global Inc.\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) is a leader of the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 140 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership.\u003C\u002Fp>\n\u003Cp>“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Forward-Looking Statements\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>This press release contains forward-looking statements. Statements in this release, including statements with respect to the offering, that are not statements of historical fact are forward-looking statements and should be evaluated as such. These statements often include words such as “anticipate,” “expect,” “suggests,” “plan,” “believe,” “intend,” “estimates,” “targets,” “projects,” “should,” “could,” “would,” “may,” “will,” “forecast,” or the negative of these terms, and other similar expressions, although not all forward-looking statements contain these words. We base these forward-looking statements or projections on our current expectations, plans and assumptions that we have made in light of our experience in the industry, as well as our perceptions of historical trends, current conditions, expected future developments and other factors we believe are appropriate under the circumstances and at such time. You should understand that these statements are not guarantees of performance or results. The forward-looking statements are subject to and involve risks, uncertainties and assumptions and you should not place undue reliance on these forward-looking statements. Although we believe that these forward-looking statements are based on reasonable assumptions at the time they are made, you should be aware that many factors could affect our actual financial results or results of operations and could cause actual results to differ materially from those expressed in the forward-looking statements. Detailed information regarding these and other factors that could affect Mobileye’s business and results is included in Mobileye’s SEC filings, including the company’s Annual Report on Form 10-K for fiscal year 2022, particularly in the section entitled “Item 1A. Risk Factors,” and in the preliminary prospectus and in any subsequent filings with the SEC relating to the offering. Copies of these filings may be obtained by visiting our Investor Relations website at \u003Ca href=\"https:\u002F\u002Fir.mobileye.com\" target=\"_blank\" rel=\"noopener\">ir.mobileye.com\u003C\u002Fa> or the SEC’s website at \u003Ca href=\"https:\u002F\u002Fwww.sec.gov\" target=\"_blank\" rel=\"noopener\">www.sec.gov\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>Media Contact: Justin Hyde, \u003Ca href=\"mailto:Justin.Hyde@Mobileye.com\">Justin.Hyde@Mobileye.com\u003C\u002Fa> +1 202-656-6749\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>","2023-07-18T07:00:00.000Z",[141],{"id":1042,"type":14,"url":1043,"title":1044,"description":1045,"primary_tag":102,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1045,"image":1046,"img_alt":1047,"content":1048,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1049,"tags":1050},217,"see-supervision-handle-difficult-real-world-driving-scenarios","#SeeSuperVision Handle Difficult Real-World Driving Scenarios","In these short videos, see how Mobileye SuperVision™ negotiates some of the most challenging driving scenarios – with eyes on the road but hands off the wheel.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F827744854229a167094fe4b022a01141_1688558391555.jpg","Mobileye SuperVision is engineered to handle difficult maneuvers in real-world driving environments.","\u003Cp>We've written a lot about Mobileye SuperVision™ on these pages. But we also know that a picture can be worth a thousand words, and a moving picture that much more.\u003C\u002Fp>\n\u003Cp>That's why we've been releasing a series of short videos showing SuperVision in action, handling a series of challenging driving maneuvers – on real roads, in actual traffic. And you can find them all in the playlist below.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fvideoseries?list=PLWCfS_Yhbvs5O_PHbKZwHDEib3-ALxs9N\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>When the Going Gets Tough\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>In these videos, you can see how a vehicle equipped with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\">Mobileye SuperVision\u003C\u002Fa> handles a variety of precarious situations, such as suddenly obstructed roadways, busy roundabouts, unprotected left turns, slow-moving trucks, constructions zones, and pedestrian crosswalks.\u003C\u002Fp>\n\u003Cp>These are all difficult situations that drivers regularly encounter on the road – situations we've all had to learn how to negotiate when driving. And much like the instructors who taught us these vital skills, we've trained our hands-off\u002Feyes-on solution to handle them safely and effectively – so you won't have to.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The Tech to Enable Eyes-On\u002FHands-Off Driving\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye SuperVision is capable of handling these situations thanks to years of development and decades of expertise in assisted and autonomous driving technologies. SuperVision incorporates our 360-degree surround \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcamera-first-approach-for-assisted-autonomous-driving\u002F\">camera system\u003C\u002Fa>, along with our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frem-mapping-avs\u002F\">REM™\u003C\u002Fa>-generated maps and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fresponsibility-sensitive-safety-unwritten-rules-of-the-road\u002F\">RSS™\u003C\u002Fa>-based driving policy – all running on a pair of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Feyeq6-system-on-chip\u002F\">our latest EyeQ™ systems-on-chip\u003C\u002Fa>.\u003Cbr \u002F>\u003Ciframe src=\"https:\u002F\u002Fplayer.vimeo.com\u002Fvideo\u002F842482816?h=6f8c5805f0&autoplay=1&loop=1&title=0&byline=0&portrait=0\" width=\"640\" height=\"360\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003Cbr \u002F>These highly advanced technological building blocks enable a vehicle equipped with SuperVision to change lanes, cruise on the highway, move through traffic jams, track other road users, and avoid collisions… even where, as the videos above demonstrate, driving gets tricky.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Coming to a Road Near You\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye SuperVision is already on the road in more than 100,000 vehicles from our launch partner \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-zeekr-expand-future-cars-partnership\u002F\">Zeekr\u003C\u002Fa>. And with further collaborations already in place with automakers like \u003Ca href=\"https:\u002F\u002Fnewsroom.porsche.com\u002Fen\u002F2023\u002Fcompany\u002Fporsche-mobileye-collaboration-automated-driver-assistance-functions-32250.html\">Porsche\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fmedia.polestar.com\u002Fglobal\u002Fen\u002Fmedia\u002Fpressreleases\u002F666140\">Polestar\u003C\u002Fa>, it's slated to be integrated into even more. So, before long, you might find yourself riding in a vehicle equipped with SuperVision. And when you do, we hope you'll feel that you're in good hands – so you can comfortably take yours off the wheel.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F96280afd0d2a4408149cedc1455fbb81_1688558449454.jpg\" alt=\"The Zeekr 001 is the first vehicle on the market to incorporate the hands-off\u002Feyes-on capabilities of Mobileye SuperVision.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>","2023-07-10T07:00:00.000Z",[57,128,65],{"id":1052,"type":14,"url":1053,"title":1054,"description":1055,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1055,"image":1056,"img_alt":1057,"content":1058,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1059,"tags":1060},216,"making-safety-seen-international-women-in-engineering-day","Making Safety Seen on International Women in Engineering Day","Women make vital contributions to a company's growth and culture. Meet some of the women engineers who drive advancements in our products and technologies.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd901ba75499d608e388f1e4390e42ca6_1687431455849.jpg","Shira Hirsh and Tomer Hochbaum are two of the many woman engineers making a meaningful professional impact at Mobileye.","\u003Cp>It wasn’t until the Second World War that serious attention was paid to women’s education in technical fields, and women began to enter the male-dominated workforce. In America, Rosie the Riveter became an enduring symbol for the physical and intellectual capabilities of American women engineers. In 2019, women accounted for about 34% of all engineers in Israel. Globally, the proportion of women engineers in 2023 stands at 24% in the United States, 17% in the European Union, 16% in Japan, and 14% in India.\u003C\u002Fp>\n\u003Cp>While stereotypes persist in STEM fields especially, there is a growing number of women who contribute to the necessary growth and culture of the companies which in turn benefit from their talents. At Mobileye, women engineers are making a meaningful impact on our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">products\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">technologies\u003C\u002Fa>.  Here, read about two women who embody the theme of this year’s \u003Ca href=\"https:\u002F\u002Fwww.inwed.org.uk\u002F\">International Women in Engineering Day\u003C\u002Fa>: “make safety seen.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc03ae56c199365298bda634143e89b61_1687431542718.jpg\" alt=\"Woman engineers like Shira Hirsh and Tomer Hochbaum work alongside men in Mobileye’s various engineering departments.\" width=\"1605\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Saving lives \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>There are numerous factors that contribute to road accidents, with speeding, distractions, and non-adherence to \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">traffic rules\u003C\u002Fa> ranking among the top five causes. At Mobileye, the core value of saving lives and promoting accessible, sustainable mobility drives the work of our engineers. Among them is Shira Hirsh, a senior principal engineer specializing in deep learning and computer optimization. Her focus is on integrating numerous algorithms into \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ™\u003C\u002Fa> – Mobileye’s proprietary System-on-Chip (SoC) – which aims to ensure an efficient and very quick response time, ultimately leading to a safe and seamless driving experience.\u003C\u002Fp>\n\u003Cp>Since Shira was young, she has always been curious and drawn to problem solving. But before starting her career as an engineer, she faced her own stereotypes about the field.\u003C\u002Fp>\n\u003Cp>“I had this vision that computer engineers spend most of their days in front of a computer, devoid of human interaction, which is the opposite of the social person that I am,” Shira reflects. “But after careful contemplation and great support from my family and friends, I embraced the decision to pursue a degree in computer science.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe76096cc79a4085c11591f80a564e8cf_1687431574825.jpg\" alt=\"Woman engineers are an integral part of the workforce at Mobileye, helping to make our roads safer through technology.\" width=\"1605\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Cp>“My choice,” she explains, “was motivated by my passion for problem-solving and the realization that engineering necessitates exceptional social skills for effective collaboration, communication, and understanding people’s needs. My strength in connecting with people is an asset in my field.”\u003C\u002Fp>\n\u003Cp>Together with her expertise in \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmoving-our-machine-learning-to-the-cloud-inspired-innovation\u002F\">machine learning\u003C\u002Fa> and computer optimization, she plays a pivotal role in the development and integration of advanced algorithms, ensuring that Mobileye’s \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhat-is-advanced-driver-assistance-system-adas\u002F\">driver-assistance\u003C\u002Fa> technologies deliver the highest level of safety and reliability.\u003C\u002Fp>\n\u003Cp>Like Shira, Mobileye algorithm and machine learning team manager Tomer Hochbaum had the same at-home support to break the gender barrier as a female engineer.\u003C\u002Fp>\n\u003Cp>“Both of my parents are in similar fields, so to focus on math and science was second nature to me,” she explains. “At home, I grew up with a big sister and mother whom I both admire, and I was always told that gender is not a barrier. It helped me overlook the obvious when I arrived at university: that all the teachers and my classmates in my engineering department were male. On top of that, studying did not come easily to me, and I found university to be very difficult. I worked very hard and found myself at Mobileye towards the end of my university experience. Despite managing a team of five, I still don’t see myself as an engineer only – I volunteer a lot, I work with animals. I am a lot of things outside of my work.”\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The pursuit of safety\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Tomer and Shira’s work at Mobileye aligns perfectly with this year’s theme, “make safety seen”. For Tomer, she and her team strive to improve safety by developing technologies that can outperform human drivers. By accurately detecting objects, their goal is to reduce accidents and create a safer environment for all.  \u003C\u002Fp>\n\u003Cp>For Shira, her cross-project role focuses on accelerating and optimizing algorithms across various domains, including solution-based \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fceo-amnon-shashua-on-the-technological-megashifts-impacting-our-world\u002F\">AI technology\u003C\u002Fa> such as machine and deep learning, computer vision, and model-based approaches on Mobileye's proprietary EyeQ chip. Her team’s main goal is to enhance the algorithms, enabling them to function in real-time and deliver rapid response times for ADAS systems, ensuring utmost safety.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F0c3f1e981a7066c947c2dcabd415f775_1687431615069.jpg\" alt=\"The autonomous vehicle garage at Mobileye is where our self-driving technologies are put to the test in various vehicles.\" width=\"1605\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The impact on the world\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>In \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-campus-jerusalem-leed-platinum-environmental-rating\u002F\">the office\u003C\u002Fa>, the creative collaboration between \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwe-are-mobileye-by-kutiman\u002F\">their colleagues\u003C\u002Fa> is precisely what is needed to push through and achieve breakthroughs. Shira explains: “As projects progress and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fintelligent-speed-assist-general-safety-regulation\u002F\">safety regulations\u003C\u002Fa> become stricter, there are instances where it may appear that we have reached maximum efficiency and cannot fit in even one more needle. However, together with others on the algorithm teams, we consistently conquer the challenge. We discover innovative approaches to reduce cycles and optimize new algorithms, enabling them to fit within our constraints. These efforts often yield results that allow us to continually enhance performance and functionality. “\u003C\u002Fp>\n\u003Cp>“Mobileye is a company that works towards improving safety,“ Tomer highlights. “Everything we do is towards that goal of what’s going to be safer and better for people. Every check is to make sure that our technology can become more accurate than a human.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7d4ac1ab1a4ba4f512d5afe8d09e7c18_1687431651240.jpg\" alt=\"Mobileye’s autonomous driving technologies are tested and deployed in vehicles like the Zeekr 001 and Nio ES8.\" width=\"1605\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Cp>For Tomer and Shira, improving safety is just one of the many impacts engineers can make in the world. These exemplary women engineers are not limited to the work they do at Mobileye – their expertise allows them to address smaller, yet no-less-significant problems that align with their personal values and passions. Tomer highlights this type of opportunity through her volunteer work with animal adoption where she uses her expertise to identify committed owners and prevent abandonment.\u003C\u002Fp>\n\u003Cp>By playing pivotal roles in the development and integration of advanced algorithms, women engineers, like those we’ve spotlighted here, ensure that Mobileye's driver-assistance technologies deliver unmatched safety and reliability. The road for women engineers may indeed be long, but it's paved with the stories like those of Shira and Tomer who break stereotypes along the way.\u003C\u002Fp>","2023-06-22T07:00:00.000Z",[57,71],{"id":1062,"type":14,"url":1063,"title":1064,"description":1065,"primary_tag":102,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1065,"image":1066,"img_alt":1067,"content":1068,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1069,"tags":1070},215,"mobileye-cto-prof-shai-shalev-shwartz-ecomotion-2023","Mobileye CTO: “AVs Are Part of the Future and Are Here to Stay”","Speaking at EcoMotion 2023, Prof. Shai Shalev-Shwartz outlined two obstacles on the road to the autonomous future – and Mobileye’s approach to overcoming both.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F48ab1e7f7ac60427ac8b776d8d2a6f60_1687166825763.jpg","Mobileye CTO Prof. Shai Shalev-Shwartz spoke about the autonomous future at EcoMotion 2023. (Photos: Noga Shadmi van de Reep)","\u003Cp>Are autonomous vehicles “dead or inevitable?” That’s one question which the \u003Ca href=\"https:\u002F\u002Fwww.ecomotionweek.com\u002F\">EcoMotion\u003C\u002Fa> conference sought to tackle this year. And to answer, they brought in our Chief Technology Officer, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-cto-wins-prestigious-michael-bruno-award\u002F\">Prof. Shai Shalev-Shwartz\u003C\u002Fa>, who spoke on a panel together with former Florida state senator Jeff Brandes, moderated by \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Finterview\u002Fautonocast-prof-amnon-shashua-taxonomy\u002F\">\u003Cem>Autonocast\u003C\u002Fem>\u003C\u002Fa> co-host Alex Roy.\u003C\u002Fp>\n\u003Cp>“By now there is evidence that self-driving is possible,” said Prof. Shalev-Shwartz. “We see self-driving cars in the streets of San Francisco and Austin. So I think that we are beyond this obstacle. The problems are different.”\u003C\u002Fp>\n\u003Cp>Those problems are the same that Shalev-Shwartz and his colleagues \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F1708.06374\">laid out in a research paper six years ago\u003C\u002Fa>, namely: safety and scalability.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff844b86f4334aff4258d9ddaf01125d6_1687181105168.jpg\" alt=\"EcoMotion 2023 featured a panel discussion between Prof. Shai Shalev-Shwartz, Jeff Brandes, and Alex Roy.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fp>\n\u003Cp>To tackle the former, Mobileye formulated the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fresponsibility-sensitive-safety-unwritten-rules-of-the-road\u002F\">Responsibility-Sensitive Safety™\u003C\u002Fa> model (RSS™). As Shalev-Shwartz put it: “There is no way to guarantee absolute safety. So the question is, if we cannot guarantee absolute safety, what can we guarantee? And how can we have a language that enables us to talk about exactly what is ‘safe’ and what is ‘not safe’?” That’s what RSS seeks to define, he noted. “If everybody would act according to RSS, then there would be no accidents at all.”\u003C\u002Fp>\n\u003Cp>The key to scalability and economic viability, according to Shalev-Shwartz, is to take a long view towards the autonomous future, maintain the profitability needed to stay the course, and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fhands-off-eyes-off-taxonomy-for-automated-driving\u002F\">clearly and honestly communicate the technology’s capabilities\u003C\u002Fa> along the way. “We view AVs as a marathon and not a short sprint. We are trying to be very honest about what the technology is capable of, and what the technology is not capable of.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F75355ee65bca48eafa0fb8514c373ae0_1687181324356.jpg\" alt=\"Mobileye Chief Technology Officer Prof. Shai Shalev-Shwartz speaks about autonomous vehicles at EcoMotion Week 2023.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fp>\n\u003Cp>“We believe that the right way to win a marathon is to start with the foundations and then make incremental changes, incremental improvements, while having a solid business all the time, rather than trying to make promises or to go all the way to something that you cannot hold your breath for long enough,” said Shalev-Shwartz. “This was Mobileye’s approach from day one. We have a solid ADAS business, we are profitable all the time. We're developing autonomous vehicles and we are profitable all the time. Then we make the next step to \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\">SuperVision\u003C\u002Fa>,” Mobileye’s hands-off\u002Feyes-on solution and a vital step along the path to \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhen-will-self-driving-cars-be-available\u002F\">the incremental deployment of autonomous-driving technologies\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>“This is the approach. No hype – just be honest about what you're giving and do useful products that people can enjoy today, have a solid business, and make progress.”\u003C\u002Fp>\n\u003Cp>Ultimately, Prof. Shalev-Shwartz concluded, “I think the future is going to be very, very interesting. And I think AVs are part of the future and are here to stay, and we will all enjoy them in the future.”\u003C\u002Fp>\n\u003Cp>Watch the full session in the video below.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FZdWne6VnCyw\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2023-06-20T07:00:00.000Z",[65,128],{"id":1072,"type":14,"url":1073,"title":1074,"description":1075,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1075,"image":1076,"img_alt":1077,"content":1078,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":17,"publish_date":1079,"tags":1080},214,"what-is-advanced-driver-assistance-system-adas","What is an Advanced Driver-Assistance System (ADAS)?","ADAS features like adaptive cruise control and forward collision warning use technology to assist drivers and enhance road safety. Learn more from Mobileye. ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F91454a36d68f6445a115fbab02d00267_1686726590249.jpg","Mobileye supplies the technology to support driver-assistance systems in hundreds of car models sold around the world.","\u003Cp>Short for advanced driver-assistance systems, ADAS is a catch-all term for any type of technological feature that makes driving safer, easier, or more comfortable. It can encompass everything from basic functions like warning you of a potential collision to more advanced features like changing lanes automatically.\u003C\u002Fp>\n\u003Cp>Most new cars today incorporate some measure of ADAS features, and many of those are supported by \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002F\">Mobileye technology\u003C\u002Fa>. In this first installment of our new Mobileye 101 series, we’ll drive you through the different types of driver-assist features and the technology that makes them possible.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Passive vs Active ADAS\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Designed to alert the driver of a potential hazard or impending collision, passive driver-assist features are the most fundamental form of ADAS system. These include such common features as lane-departure warning (which alerts the driver in case the vehicle is veering out of its lane) and blind-spot monitor (which watches for obstacles the driver might not be able to readily see).\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F13c2be1167df7049b013e63d1df1db8b_1686726804414.jpg\" alt=\"Mobileye technology uses cameras and advanced computer vision algorithms to detect and safeguard vulnerable road users.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Active safety systems go further than passive ones by actively intervening to help avoid collisions. A feature like \u003Ca href=\"https:\u002F\u002Fwww.jdpower.com\u002Fcars\u002Fshopping-guides\u002Fwhat-is-automatic-emergency-braking\">Automatic Emergency Braking\u003C\u002Fa> (AEB), for example, has the ability not only to detect an impending collision and warn the driver accordingly, but also to slow down or even stop the vehicle if the driver doesn’t react in time.\u003C\u002Fp>\n\u003Cp>Another such feature is \u003Ca href=\"https:\u002F\u002Fwww.caranddriver.com\u002Fresearch\u002Fa32813983\u002Fadaptive-cruise-control\u002F\">Adaptive Cruise Control\u003C\u002Fa> (ACC), which not only maintains the vehicle speed set by the driver, but will slow the vehicle down if it comes up on slower-moving traffic, and accelerate back up to the preset speed once the way is clear again.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Incremental Evolution from Assisted to Autonomous Driving\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Automakers have even begun offering more comprehensive systems that combine the functions of several active safety systems to automate some of the more mundane driving tasks.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff919798a57cc4026cd594f45020fc7f0_1686726931610.png\" alt=\"ADAS features like adaptive cruise control and lane-keep assist combine to form advanced highway assist systems.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>Combine Adaptive Cruise Control with Lane-Keep Assist, for example, and you get a highway-assist system that can control the vehicle’s accelerator, brakes, and steering to keep the vehicle moving safely on the highway without veering out of its lane or rear-ending other vehicles in its path. A traffic-jam assist system essentially does the same, but at low speeds in stop-and-go traffic.\u003C\u002Fp>\n\u003Cp>The more of these systems a vehicle has, the closer it gets to autonomous capabilities. \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\">Mobileye SuperVision™\u003C\u002Fa>, for example, combines advanced features such as highway and traffic-jam assist with autonomous lane changing, evasive maneuver assist, blind-spot monitoring, front and rear collision avoidance, and more, to deliver eyes-on\u002Fhands-off autonomous driving capabilities on a variety of road types.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Industry-Leading Computer Vision Technology\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>To enable driver-assist features, vehicles need sensors and processors running the right software. Dozens of automakers around the world opt for cameras coupled with Mobileye’s industry-leading \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ™ systems-on-chip\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fddada6efb79b1aa135434bec0856ca08_1686727074170.jpg\" alt=\"Mobileye’s EyeQ systems-on-chip support the ADAS features in more than 140 million vehicles to date.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>Highly efficient and built from the ground up for the job, EyeQ encapsulates the computer-vision technology that vehicles need to enable their core ADAS features. It’s coded with complex algorithms that interpret camera feeds to detect and identify other road users, obstacles, hazards, weather conditions, traffic signals, lane markers, the shape of the roadway, and more, in real time. Based on the signals it provides, the vehicle can alert the driver or take active measures to avoid collisions, all in order to operate as safely as possible in an often complex and fast-changing driving environment.\u003C\u002Fp>\n\u003Cp>Now in its sixth generation, EyeQ has gone into more than 140 million vehicles to date. That number keeps growing, while we continuously develop ever more advanced technologies to make driving easier and transportation safer – from crowdsourced maps in our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\">Cloud-Enhanced Driver-Assist™\u003C\u002Fa> solution to 360-degree surround camera coverage in Mobileye SuperVision™ to active \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\">radar and lidar\u003C\u002Fa> sensors in our autonomous-driving solutions: Mobileye Chauffeur™ (for consumer vehicles) and Mobileye Drive™ (for commercial vehicles).\u003C\u002Fp>\n\u003Cp>At this point, we’re evolving well beyond the scope of driver assistance and into the realm of autonomous driving. But no matter how far our solutions advance, they’ll all owe their origins to the building blocks of our lifesaving core ADAS technology.\u003C\u002Fp>","2023-06-15T07:00:00.000Z",[57],{"id":1082,"type":14,"url":1083,"title":1084,"description":1085,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":1085,"image":1086,"img_alt":1087,"content":1088,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":17,"publish_date":1089,"tags":1090},213,"autonomous-vehicle-day-the-self-driving-stack","How Autonomous Vehicles Work: the Self-Driving Stack","To celebrate Autonomous Vehicle Day, we’re going back to basics and looking at the foundational technology that makes autonomous driving possible.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff136d554be484a39fc8e368eccfc090e_1685551843254.png","Mobileye develops a full range of technologies to enable autonomous driving on all road types, from highways to city streets.","\u003Cp>In one of the most popular of our \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pDyMzz8HMIc&t=13s\">unedited self-driving videos\u003C\u002Fa>, an autonomous vehicle (AV) takes on the task of driving through one of the most challenging urban driving environments for any driver—human or otherwise: Jerusalem.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\" target=\"_blank\" rel=\"noopener\">Jerusalem\u003C\u002Fa> is a 5,000-year-old labyrinth of unplanned ancient pathways that have transformed into modern roadways. Traffic can be unpredictable and intense, presenting a completely different driving experience from the planned organization of a modern city.\u003C\u002Fp>\n\u003Cp>Autonomous Vehicle Day offers a perfect occasion to both appreciate and examine the enormity of the technological achievement involved in driving autonomously in such a difficult environment.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The “Brain” of a Self-Driving Car\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>“A self-driving car must work flawlessly and be able to navigate through obstacles and other road users. To do that, it needs a very smart brain,” explains Mobileye’s Chief Technology Officer, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-cto-wins-prestigious-michael-bruno-award\u002F\" target=\"_blank\" rel=\"noopener\">Prof. Shai Shalev-Shwartz\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>That “smart brain” in an AV, consisting of software running on \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" target=\"_blank\" rel=\"noopener\">powerful microprocessors\u003C\u002Fa>, is called the “self-driving stack”. This is what allows an AV to successfully complete such delicate maneuvers as making natural unprotected left turns and veering slightly to avoid an open door (to name just a couple).\u003C\u002Fp>\n\u003Cp>Just as we can divide the human brain into various functional layers, we can also divide the brain of a self-driving car into the following functional layers: \u003Cbr \u002F>- Sensing\u003Cbr \u002F>- Perception\u003Cbr \u002F>- Localization\u003Cbr \u002F>- Planning\u003Cbr \u002F>- Control\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>How a Self-Driving Car Senses\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F5a9d96f8400e0c5f402a91106d4b1985_1685610377231.jpg\" alt=\"Active radar and lidar sensors compliment cameras to complete the sensing state in Mobileye’s autonomous-driving solutions.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Ch4>\u003Cstrong>It Starts with a Camera\u003C\u002Fstrong>\u003C\u002Fh4>\n\u003Cp>Self-driving cars are equipped with a variety of sensors that serve as the “eyes” of the vehicle and comprise the sensing layer. Not surprisingly, the main sensors that AVs use are the sensors that are most similar to the eyes of a human driver—\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcamera-first-approach-for-assisted-autonomous-driving\u002F\">cameras\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>Cameras of various resolutions, sizes, and angles are typically mounted on the windshield, bumpers, and side mirrors. Working together, the cameras are able to capture a 360° surround view of the vehicle.\u003C\u002Fp>\n\u003Cp>Cameras are superior to other sensors in detecting colors and shapes, so they are good at detecting lane markers, road signs, other vehicles, and various other objects in the driving environment.\u003C\u002Fp>\n\u003Ch4>\u003Cstrong>Another Layer of Accuracy\u003C\u002Fstrong>\u003C\u002Fh4>\n\u003Cp>Of course, cameras have their limitations—especially in poor lighting or weather conditions. That’s why the cameras in AVs are supplemented with inputs from other sensors, such as \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\">radar and lidar\u003C\u002Fa>, to provide a more comprehensive view of the vehicle’s surroundings.\u003C\u002Fp>\n\u003Cp>Compared to camera sensors, radar works reliably well in low-visibility conditions such as rain, snow, and fog. However, unlike cameras, radar is not good at modeling the precise shape of an object.\u003C\u002Fp>\n\u003Cp>Lidar, an acronym for Light Detection and Ranging, is a technology that is similar to radar, but uses laser light pulses instead of radio waves to measure distance and create a 3D map of its environment.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Putting it All Together\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F97d05301af3b438b972736b0c2bac5c7_1685552940517.jpg\" alt=\"Through our True Redundancy™ approach to sensing, Mobileye utilizes a variety of sensors to enable autonomous driving.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>The process of combining inputs from all sensors (cameras, radar, and lidar) to create an image of the world is called “sensor fusion”.\u003C\u002Fp>\n\u003Cp>There are two main types of sensor fusion, called early and late sensor fusion, which indicate at what point data received from the various sensors is combined. In early sensor fusion, raw data is fused and then object detection algorithms are applied. In late sensor fusion, object detection algorithms are applied to the data before fusing the resulting 3D maps.\u003C\u002Fp>\n\u003Cp>While early sensor fusion is the industry standard, Mobileye’s self-driving system uses late sensor fusion. We also employ \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\">sensor redundancy\u003C\u002Fa> to create independent models of the road environment that can each provide the perceptual information needed to drive the AV if one system fails.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Making Sense of it All \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Once sensor data has been received, the car’s onboard computer needs to make meaning of it. Is that a billboard or a truck? Where is the edge of the road?\u003C\u002Fp>\n\u003Cp>A whole subfield of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fceo-amnon-shashua-on-the-technological-megashifts-impacting-our-world\u002F\" target=\"_blank\" rel=\"noopener\">artificial intelligence\u003C\u002Fa>, called \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcomputer-vision-eccv-2022\u002F\" target=\"_blank\" rel=\"noopener\">computer vision\u003C\u002Fa>, is dedicated to this task. This has been one of the main areas of focus at Mobileye for over two decades.\u003C\u002Fp>\n\u003Cp>Computer vision algorithms—which include \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=GjmZyMWo7YY\">object recognition\u003C\u002Fa>, pattern recognition, clustering algorithms, and more—are applied to the data, allowing the car to detect lane markings, street signs, traffic lights, and other objects in the environment.\u003C\u002Fp>\n\u003Cp>Custom algorithms are even developed to detect such situations as open car doors and the hand signals of traffic police.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ffe4450c54de59cab0969905a1f71a6b2_1685552815408.jpg\" alt=\"Mobileye employs proprietary computer-vision algorithms to identify objects and other road users in its driving environment.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Ch3>\u003Cstrong>Precisely Locating Itself on a Map\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Localization, another essential layer of the self-driving stack, is the process of determining a vehicle's precise location relative to its surroundings, which is essential to enabling the car to make informed driving decisions and plan a trip.\u003C\u002Fp>\n\u003Cp>GPS is commonly used for initial localization, but it has limitations in terms of accuracy, especially in urban environments with tall buildings that can interfere with satellite signals. When safety is critical, localization has to be accurate within centimeters, not meters and inertial sensors, cameras, lidar, and radar provide more precise location information.\u003C\u002Fp>\n\u003Cp>The use of high-definition maps is another important step in the process of localization because they contain exact information about the location of static features of the road such as curbs and pedestrian crossings. This allows the vehicle to more accurately determine its position relative to the road and “fill in the gaps” where sensor data may be incomplete.\u003C\u002Fp>\n\u003Cp>Once it obtains an accurate map of the road environment, the AV uses various algorithms to determine its exact location and orientation. The algorithms take into account factors such as the car's velocity, steering angle, and other sensor readings to calculate the vehicle's precise location.\u003C\u002Fp>\n\u003Cp>Mobileye’s approach to mapping, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\">Road Experience Management™\u003C\u002Fa> (or REM™), rather than using a static HD map, uses anonymous data crowdsourced from around the world, resulting in dynamic, continuously updated maps.\u003C\u002Fp>\n\u003Cp>The maps generated by Mobileye’s REM technology provide a richness of map semantics, which means that our mapping technology goes an important step further than most mapping technologies–it also captures how drivers use roads and the environment around them. For example, using REM, a vehicle is not only able to perceive a traffic light, but “understands” which lane (or lanes) is associated with it.  \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The Planning Layer of Autonomous Driving\u003C\u002Fstrong>           \u003C\u002Fh3>\n\u003Cp>If you are a self-driving car and you know what the world looks like and where you are exactly, you’ve come a long way. Now, you just need to make decisions based on this world model and create a plan to get to your destination. That’s where the next layer of the self-driving stack comes in.\u003C\u002Fp>\n\u003Cp>When planning a trip, the AV needs to plan a route to get from point A to point B. However, in AVs, the planning layer consists of many types of planning—including motion planning, decision-making, collision avoidance, and behavioral planning.\u003C\u002Fp>\n\u003Cp>For instance, collision avoidance algorithms ensure the vehicle avoids moving and static objects on the roadway to keep everyone safe. Other algorithms that are part of the planning layer ensure that occupants perceive the trip as safe and comfortable (i.e., no sudden accelerations or braking) and that the car drives according to traffic laws.\u003C\u002Fp>\n\u003Cp>Motion planning algorithms make decisions about such maneuvers as lane changes and merges. The AV also needs to take into account what objects in the roadway might do, which is referred to as behavioral planning.\u003C\u002Fp>\n\u003Cp>Mobileye has added an extra layer of safety to the planning process with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fresponsibility-sensitive-safety-unwritten-rules-of-the-road\u002F\">Responsibility-Sensitive Safety™\u003C\u002Fa> (or RSS™).  Our open mathematical model for AV safety and the basis for our driving policy, RSS is based on transparent and verifiable rules for balancing cautious and assertive driving.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Controlling the Car\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Once the car’s computer has determined how to safely move based on sensor information, perception, and planning, it now needs to control the vehicle in the same way that a human driver would. Just as a human brain controls the movements of our limbs to allow us to navigate our world, an AV’s computer also controls the brakes, steering wheel, accelerator, and other components.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>In celebration of AV Day, we've delved into some of the inner workings of this life-changing technology. From sensors and algorithms to crowd-sourced mapping and behavioral planning, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fhistory-autonomous-vehicles-renaissance-to-reality\u002F\">self-driving cars have come a long way\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>Imagine a future where road accidents are a thing of the past and time spent driving is transformed into productivity, leisure, and family time.  \u003C\u002Fp>\n\u003Cp>At Mobileye, this vision is fast becoming reality, and we’re excited about what that means for the future of mobility.\u003C\u002Fp>","2023-05-31T07:00:00.000Z",[65],{"id":1092,"type":14,"url":1093,"title":1094,"description":1095,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1095,"image":1096,"img_alt":1097,"content":1098,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1099,"tags":1100},197,"hands-off-eyes-off-taxonomy-for-automated-driving","Hands Off, Eyes Off: A New Taxonomy for Automated Driving","Instead of autonomous driving levels, our new taxonomy defines assisted and autonomous driving systems by degree of driver involvement.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3409a38e85102714bbffb31a0475ca85_1675343297877.png","Mobileye formulated a new framework for assisted and autonomous driving to be understandable by everyone.","\u003Cp>Language matters. Words have power. They help us to define things properly, to understand them, and to understand one another. So, when the existing lexicon leaves too much room for confusion, we need new terminology that clarifies and simplifies the subject matter. And that is precisely what we outlined \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fces-2023-recap\u002F\">at CES\u003C\u002Fa> earlier this year: a \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fdefining-a-new-taxonomy-for-consumer-autonomous-vehicles\u002F\">new taxonomy\u003C\u002Fa> for assisted and autonomous driving that’s both accurate and easy to understand.\u003C\u002Fp>\n\u003Cp>“The discourse today is Level 2, Level 3, Level 4.... This taxonomy is good for engineers,” Mobileye CEO & founder \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Famnon-shashua\u002F\">Prof. Amnon Shashua\u003C\u002Fa> said at CES 2023. But what we really need is “a product-oriented language. So, we created our own language which says that there is eyes-on\u002Feyes-off, there is hands-on\u002Fhands-off, there is a driver or no driver. That’s it.”\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUCBlR4QFQCA?clip=UgkxB-CV4Be0J8rQHU7cOTxW7dY_KUTn5y5e&clipt=EJCfKRjbwSs\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>Here’s the logic behind this new taxonomy, and how it applies to \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">various types of driving systems\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Simplifying the Relationship Between Driver and Vehicle\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Until now, the capabilities of assisted and autonomous driving technologies have been categorized into six levels of driving automation. That taxonomy was first defined in 2014 under \u003Ca href=\"https:\u002F\u002Fwww.sae.org\u002Fblog\u002Fsae-j3016-update\">SAE J3016\u003C\u002Fa>, a standard issued by SAE International (formerly known as the Society of Automotive Engineers). At one end of the spectrum sits Level 0, with no significant form of driver assistance whatsoever. At the other end, Level 5 autonomous driving describes vehicles capable of operating autonomously anywhere and everywhere. Everything else falls into one of the levels in between.\u003C\u002Fp>\n\u003Cp>The SAE levels of automation have been adopted widely across the industry, and arguably represent the most useful taxonomy we’ve had until now. But does these autonomous driving levels clearly and effectively convey a vehicle’s capabilities? Will the layperson understand where their responsibilities as a driver end and where the vehicle’s begin (without either a chart or an in-depth understanding of the technology)?\u003C\u002Fp>\n\u003Cp>As the technologies have developed and evolved, the autonomous driving levels are no longer the most effective way of characterizing a vehicle’s automation – particularly with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Funderstanding-l2-in-five-questions\u002F\">the emergence of L2+\u003C\u002Fa>, the lack of clarity regarding the man\u002Fmachine interaction under L3, and the practical differences between L4 and L5 having been diminished by \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frem-mapping-avs\u002F\">widespread mapping\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>So instead of levels of automation defined by engineers for engineers, we set out to characterize the relationship between human and machine based on the simple questions that matter most to drivers (among others), namely:\u003Cbr \u002F>1. Does the driver need to keep hands on the wheel? \u003Cbr \u002F>2. Does the driver need to keep a watchful eye on the road? \u003Cbr \u002F>3. Does the vehicle even need a driver at all?\u003C\u002Fp>\n\u003Cp>The answers to these questions clearly define which responsibilities rest with the driver and which with the vehicle, and in what types of driving environments.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F4b7e967e74b128bff373a8c1847d7c2f_1675343014441.png\" alt=\"One of our most advanced solutions, Mobileye SuperVision is a hands-off\u002Feyes-on driver-assistance system.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Terminology in Action\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The baseline assumption governing automobile operation over most of its history has been that a human driver is solely responsible for controlling the vehicle and watching the road at all times – hands-on, eyes-on. But that’s begun to change with the advancement of driver-assistance systems and the development of autonomous vehicles.\u003C\u002Fp>\n\u003Cp>With a solution like \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\">Mobileye SuperVision™\u003C\u002Fa>, for example, the driver can take hands off the wheel and let the vehicle operate itself on all regular road types. But responsibility and overall control still rest with the driver, who must supervise the vehicle’s operation at all times. Mobileye SuperVision, then, is a hands-off\u002Feyes-on system.\u003C\u002Fp>\n\u003Cp>For Mobileye Chauffeur™, we add \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\">active sensors\u003C\u002Fa> (such as radar and lidar) to the computer vision, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\">specialized crowdsourced maps\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">lean driving policy\u003C\u002Fa> that go into Mobileye SuperVision. These \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\">redundant\u003C\u002Fa> active sensors will allow drivers to take not only take their hands off the wheel, but their eyes off the road as well – within specific driving environments, or what engineers call Operational Design Domains. (Like a vacuum cleaner may be designed to work indoors and a lawnmower outdoors, a system might be restricted to driving autonomously only on certain road types as its Operational Design Domain expands.)\u003C\u002Fp>\n\u003Cp>Mobileye Drive™, meanwhile, further builds upon the capabilities of Mobileye Chauffeur with the addition of a tele-operation system. That added capability is incorporated to handle the few remaining rare cases where human involvement may be required, allowing for the removal of the driver from the equation entirely.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff0360b340e9082d4e3e79c4e9760f080_1675342547123.png\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff0360b340e9082d4e3e79c4e9760f080_1675342547123.png\" alt=\"Classifying the capabilities of Mobileye's advanced solutions according to our new taxonomy for automated driving technologies.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Sounds simple enough, right? We certainly hope so. Because while the technologies that go into these systems are highly complex, we believe their capabilities need to be expressed as simply and clearly as possible – not just for the benefit of those developing the technologies, but for the general public who will be using them as well.\u003C\u002Fp>","2023-05-22T07:00:00.000Z",[57,65],{"id":1102,"type":142,"url":1103,"title":1104,"description":1105,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1105,"image":1106,"img_alt":1107,"content":1108,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1109,"tags":1110},212,"mobileye-and-man-truck-bus-launch-collaboration-for-av-city-buses"," Mobileye and MAN Truck & Bus launch collaboration for AV city buses  ","Together, we're launching a multi-level cooperation to expand Mobileye Drive™ into city buses  ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe82f7961494b551f4dbdb22ab063a582_1687163362038.png","MAN Truck & Bus and Mobileye collaborate on autonomy in public transit","\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye and MAN Truck & Bus today announced a collaboration to explore autonomy in public transit, integrating state-of-the-art autonomous vehicle technology into the award-winning city buses of MAN. This builds on Mobileye’s strategy of working closely with vehicle manufacturers to integrate autonomous technology seamlessly across platforms.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">This new collaboration is a milestone for MAN to further the path to urban bus automation. AVs will be able to significantly improve the total cost of ownership and lower the impact of expected driver shortages.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">“We are excited to work with MAN Truck & Bus to demonstrate the benefits of self-driving buses. Our Mobileye Drive™ system offers a flexible and scalable AV solution that can be used in various purpose-built vehicle platforms,” said Johann Jungwirth, Senior Vice President, Autonomous Vehicles at Mobileye.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye Drive envisions a cutting-edge, comprehensive self-driving solution for commercial use by vehicle manufacturers. It includes Mobileye's advanced EyeQ™ systems-on-chip, as well as sensing, mapping, and driving policy technologies to build a full-stack autonomous driving system for designated design domains. Mobileye Drive's sensor configuration consists of an array of cameras, radars, and lidars that can be adapted to a variety of vehicle platforms – with MAN as its first application in bus transit.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye will utilize the knowledge gained through first test operations with Mobileye Drive in Germany to implement into the MAN city bus. The program’s first milestone will be to integrate Drive into a MAN Lion’s City E bus with a safety driver as part of a larger research project in Munich, Germany, targeted for 2025. Following that trial, further test projects would be launched, building toward a goal of series production by the end of the decade.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{"201341983":0,"335559739":160,"335559740":259}\"> \u003C\u002Fspan>\u003C\u002Fp>","2023-05-17T07:00:00.000Z",[65,141,78],{"id":1112,"type":14,"url":1113,"title":1114,"description":1115,"primary_tag":102,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1115,"image":1116,"img_alt":1117,"content":1118,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1119,"tags":1120},211,"we-are-mobileye-by-kutiman","The Sounds, Sights, Voices, and Values of Mobileye","Take a look inside Mobileye and hear from the people who are driving the evolution of mobility in this video by Kutiman.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa1346d6d41daed3ae688626548db341a_1683801543169.jpg","Mobileye employees have a lot to say about the principles, ideas, and spirit that drive us forward in the evolution of automotive transportation.","\u003Cp>Mobileye is a tech company, a chipmaker, and an \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fporsche-mobileye-supervision-collaboration\u002F\">automotive supplier\u003C\u002Fa>, dedicated to making the world’s roads safer. But arguably more than anything else, we’re a collection of individuals: scientists, engineers, programmers, and developers – unabashed geeks who are harnessing the power of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcomputer-vision-eccv-2022\u002F\">computer vision\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fceo-amnon-shashua-on-the-technological-megashifts-impacting-our-world\u002F\">AI\u003C\u002Fa> to tackle some of the hardest problems facing the automotive and mobility industries.\u003C\u002Fp>\n\u003Cp>While we typically focus here on the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">products\u003C\u002Fa> of their combined efforts, today we’re giving you a glimpse inside Mobileye to meet some of the people behind the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002F\">technology\u003C\u002Fa> and the principles that motivate us.\u003C\u002Fp>\n\u003Cp>This video was created by world-renowned Israeli audio-visual artist \u003Ca href=\"https:\u002F\u002Fyoutube.com\u002F@kutiman\">Kutiman\u003C\u002Fa> to celebrate \u003Ca href=\"https:\u002F\u002Fwww.intel.com\u002Fcontent\u002Fwww\u002Fus\u002Fen\u002Fnewsroom\u002Fnews\u002Fmobileye-news-oct-2022.html#gs.wxojvy\">our recent IPO\u003C\u002Fa>. It was compiled from sounds sampled and footage captured in our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-campus-jerusalem-leed-platinum-environmental-rating\u002F\">offices\u003C\u002Fa>, workshops, labs, and development vehicles. Best of all, it features a cross section of our employees speaking about \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhat-drives-us\u002F\">the values that drive us forward\u003C\u002Fa>. Turn up your speakers, click “play,” and meet just a few of the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Finternational-day-of-persons-with-disabilities-shekel-perfects-data-team\u002F\">people\u003C\u002Fa> who are proud to declare: We Are Mobileye.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fw8n_1Blsduk\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"font-size: 10pt;\">Directed, edited, and performed by Kutiman\u003C\u002Fspan>\u003Cbr \u002F>\u003Cspan style=\"font-size: 10pt;\">Trumpet: Tal Avraham\u003C\u002Fspan>\u003Cbr \u002F>\u003Cspan style=\"font-size: 10pt;\">Photography: Yair Elder\u003C\u002Fspan>\u003Cbr \u002F>\u003Cspan style=\"font-size: 10pt;\">Mixing: Ronen \"Nenor\" Sabo\u003C\u002Fspan>\u003Cbr \u002F>\u003Cspan style=\"font-size: 10pt;\">Writing & Creative: Tami Tisch\u003C\u002Fspan>\u003C\u002Fp>","2023-05-11T07:00:00.000Z",[128],{"id":1122,"type":142,"url":1123,"title":1124,"description":1125,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1125,"image":1126,"img_alt":1127,"content":1128,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1129,"tags":1130},210,"porsche-mobileye-supervision-collaboration","Porsche and Mobileye launch SuperVision collaboration","“We're excited to collaborate with Porsche on bringing the next generation of driving technology to customers worldwide,” said Mobileye CEO Prof. Amnon Shashua.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F68105afe6f0e6404ca5b3b599d3c2c08_1683625841363.png","Collaboration is expected to make Mobileye SuperVision™ available as a platform solution within the overall Volkswagen Group.","\u003Cp>Mobileye today announced its strategic collaboration with Porsche, one of the world’s greatest sports car builders, to provide Mobileye’s SuperVision™ premium advanced driver assistance systems in future Porsche production models. \u003C\u002Fp>\n\u003Cp>This new effort builds on our strategy of advancing autonomy through evolution, starting from today’s eyes-on, hands-on driver assist systems through SuperVision-based systems that enable hands-off operation for identified use cases, leading to eventual eyes-off, hands-off autonomy. \u003C\u002Fp>\n\u003Cp>“We are excited to collaborate with Porsche on bringing the next generation of driving technology to customers worldwide,” said Prof. Amnon Shashua, President and CEO of Mobileye. “We share Porsche’s goal of improving the driving experience through world-class technological innovation. \u003C\u002Fp>\n\u003Cp>“Mobileye SuperVision™ system was designed to enhance safety through the synergetic interaction of driver and vehicle, as well as enhance the driving experience itself, by giving drivers greater freedom to choose how they want to engage with the road, and when they want to let the vehicle handle basic driving tasks.” \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F345801264461614ae1c8b46525d5a133_1683625971035.png\" alt=\"Future Porsche models will employ Mobileye SuperVision™ with surround-camera array, radar sensors, and EyeQ™6 High systems-on-a-chip.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Cp>Future Porsche models will benefit from the system’s 11 cameras and radar-based sensing system to deliver supervised hands-free operation for identified use cases. Our cloud-connected Road Experience Management™ maps will provide up-to-date and highly localized intelligence about not just road features like lanes and signals, but how other drivers interact with their surroundings.\u003C\u002Fp>\n\u003Cp>SuperVision’s combination of advantages — a tightly integrated package of software and hardware based on our EyeQ™6 High systems-on-a-chip on a new SV62 domain controller — make it a uniquely flexible solution. Porsche will use Mobileye SuperVision™ as a key ingredient in its premium driver-assist platform, including key driver monitoring systems, to deliver a Porsche-worthy experience behind the wheel. And the collaboration is expected to make Mobileye SuperVision™ available as a platform solution within the overall Volkswagen Group.\u003C\u002Fp>\n\u003Cp>Mobileye SuperVision™\u003Csup> \u003C\u002Fsup>technology has been developed to work at scale across multiple geographies and operational domains. The Mobileye SuperVision™  approach builds upon Mobileye’s two decades of proven experience as a leader in camera-based driver safety and assistance technology, powered by integrated EyeQ SoCs. More than 135 million vehicles globally have been built with Mobileye assist technology to date, powering tangible increases in traffic safety for all road users.\u003C\u002Fp>","2023-05-09T07:00:00.000Z",[57,141],{"id":1132,"type":14,"url":1133,"title":1134,"description":1135,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1135,"image":1136,"img_alt":1137,"content":1138,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1139,"tags":1140},205,"autonomous-vehicle-frequently-asked-questions-faq-answers","Autonomous Vehicle Questions Get the Answers They Deserve ","Today we’re answering some of your most pressing questions on our self-driving technology, as we advance towards the future of autonomous vehicles.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ffd47f7ecb883325f8839a342e42e6215_1679308858729.jpg","Though highly complex, Mobileye develops the advanced technologies for autonomous vehicles to be as transparent as possible.","\u003Cp>Mobileye periodically releases \u003Ca href=\"https:\u002F\u002Fyoutube.com\u002Fplaylist?list=PLWCfS_Yhbvs5MtQIjNfN-xLU30mc1qjEc\">footage of our autonomous vehicles (AVs) out testing around the world\u003C\u002Fa>. We’ve published numerous videos of our camera-only developmental AVs driving in locations across Asia, Europe, and North America, and most recently released another showing our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fautonomous-vehicle-detroit-united-states\u002F?trk=organization_guest_main-feed-card_feed-article-content\">Mobileye Drive™ test vehicle\u003C\u002Fa> (with cameras, radars, and lidars) navigating the complex streets of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\">Jerusalem at night\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>The videos show vehicles equipped with our self-driving technologies maneuvering in real-world conditions, alongside actual traffic, in densely packed city centers, tackling the same challenges a human driver would face. The unvarnished glimpse they provide into our technologies at work have made them some our most popular videos. They’ve also sparked some excellent questions across various online platforms, and today we’re answering some of them.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb768f774a0b45beb1b29d3d6a018426d_1679309792882.jpg\" alt=\"\" width=\"1650\" height=\"930\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Question: In what locations and under what conditions is Mobileye testing its autonomous-vehicle technologies?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Answer: Our testing of autonomous vehicles began (and continues) in our hometown of Jerusalem, Israel. The city presents a particularly challenging set of driving conditions, including narrow streets, heavy stop-and-go traffic, a large volume of pedestrians (including lots of baby strollers), frequent jaywalking, ongoing roadworks, and often-aggressive, hurried drivers.\u003C\u002Fp>\n\u003Cp>These conditions make Jerusalem an excellent testing environment, but we’re not limiting ourselves to the one location; rather, over the past few years, we’ve expanded testing to other environments around the world, including Tokyo, Shanghai, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fparis-ratp-autonomous-vehicle-testing-pilot\u002F\">Paris\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmunich-av-video\u002F\">Munich\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fautonomous-vehicle-testing-miami-stuttgart\u002F\">Stuttgart\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fautonomous-vehicle-detroit-united-states\u002F\">Detroit\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fpress-kit\u002Fpress-kit-mobileye-new-york-city\u002F\">New York\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fautonomous-vehicle-testing-miami-stuttgart\u002F\">Miami\u003C\u002Fa>. We’re testing on a variety of road types, both day and at night, and in a multitude of driving conditions.\u003C\u002Fp>\n\u003Cp>\u003Cem>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F254e2f53ba72e83e2d6dd10d414e4d96_1681912999070.jpg\" alt=\"A Mobileye autonomous development vehicle opposite the Eifel Tower, pictured while undergoing testing in Paris.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>Key to our geographic scalability is our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\">Road Experience Management™ (REM™)\u003C\u002Fa> technology. REM crowdsources data from millions of vehicles around the globe equipped with Mobileye technology, and creates a map of all the roads they’re traveling to inform the AV about what to “expect” on those roads.\u003C\u002Fp>\n\u003Cp>By undertaking such rigorous testing, we aim to better prepare our self-driving solutions to handle whatever conditions they may face out there on the road – regardless of the location, driving environment, weather, or other conditions in which they’re operating.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F768d83e49473ade5f08e00cfdda052f2_1679309854709.jpg\" alt=\"\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Q: \u003C\u002Fstrong>\u003Cstrong>How does the autonomous vehicle handle narrow streets where visibility may be limited?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>A: Just as a human driver would instinctively drive more cautiously on a narrow urban street where pedestrians might suddenly jump onto the road, so must an AV make similar assumptions and be cautious in such areas.\u003C\u002Fp>\n\u003Cp>As you can see in the video below, the AV is following the fourth rule of our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">Responsibility-Sensitive Safety™\u003C\u002Fa> model (RSS™) – the framework on which its driving policy is based. RSS rule #4 instructs the vehicle to always be cautious in areas of limited visibility.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FpDyMzz8HMIc?clip=Ugkx_DSY31Bw2Y-spgfTV2rDS4xRN8XOalmc&clipt=EJD2GBj9xRs\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Q: H\u003C\u002Fstrong>\u003Cstrong>ow does the AV handle inclement weather conditions?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>A: Visibility on the road can be compromised by a long list of weather events, including heavy rain, snow, fog, strong crosswinds, and more. We prepare our autonomous vehicles for such conditions by equipping them with a full array of sensor types so that they’ll be able to detect and handle whatever weather they encounter. The sensor inputs allow an AV to determine, for example, whether it should reduce speed and proceed with greater caution due to weather conditions.\u003C\u002Fp>\n\u003Cp>Importantly, our AV featured in the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\">night-drive video in Jerusalem\u003C\u002Fa> incorporates a radar\u002Flidar subsystem (in addition to a camera-based subsystem). We call this approach to sensing \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\">True Redundancy™\u003C\u002Fa>, which specifically provides for incorporation of both subsystems operating independently of one another. So, if bad weather limits the cameras’ visibility, the vehicle will still be able to operate safely and effectively on radar and lidar alone (since these active sensors are not impeded in the same way by bad weather as cameras are).\u003C\u002Fp>\n\u003Cp>A compressed-air system also keeps the lenses on our AV’s cameras clean from dirt, grime, rain, snow, and ice it might pick up from the driving environment.\u003C\u002Fp>\n\u003Cp>\u003Cem>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F05e667c8b18ab869fd7d7f0a8e986c97_1681913091101.jpg\" alt=\"A Zeekr 001 with Mobileye SuperVision testing our camera-only self-driving system in the snow in Detroit.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>In addition, the REM maps mentioned earlier provide an additional rich layer of information on the driving environment, supplementing what the vehicle’s onboard sensors pick up, which is especially useful if any of the sensors are impaired by reduced visibility conditions.\u003C\u002Fp>\n\u003Cp>In the unlikely event that the AV determines for any reason that it cannot proceed safely, it’s programmed to either pull over to the side of the road and stop (if equipped with an eyes-off\u002Fhands-off or driverless system), or slow down and remain within its lane (in a camera-only, eyes-on\u002Fhands-off system).\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>These are some of the excellent questions we’ve received, and we hope the answers we’ve provided here have helped you better understand how our self-driving technologies work. For a closer look at each of the unedited autonomous drive videos captured in locations around the world, watch the videos in the playlist below.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fvideoseries?list=PLWCfS_Yhbvs5MtQIjNfN-xLU30mc1qjEc\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2023-04-24T07:00:00.000Z",[128,65],{"id":1142,"type":14,"url":1143,"title":1144,"description":1145,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1145,"image":1146,"img_alt":1147,"content":1148,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1149,"tags":1150},208,"camera-first-approach-for-assisted-autonomous-driving","Our Camera-First Approach to Enhancing Mobility","For capability and cost, cameras can’t be beat. That’s why Mobileye embraces a camera-first approach towards sensing for both assisted and autonomous driving.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fca2e5c9e96edcd608dd05b9deb731679_1680467545684.jpg","Mobileye pioneered the use of a single camera to enable advanced driver-assistance systems.","\u003Cp>There are many things we take for granted, but when it comes to cars at least, things weren’t that way until someone made them so.\u003C\u002Fp>\n\u003Cp>Cars today are a fact of life, for example, but they didn’t exist before Gottlieb Daimler and Carl Benz effectively invented them. By now we see cars everywhere, but they weren’t mass-produced until Henry Ford came up with the assembly line. These days almost all cars come with some degree of advanced driver-assistance system, and most such systems are based on cameras... but that too wasn’t the case until Mobileye pioneered the concept. And that camera-first approach remains at the heart of everything we do.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Historical Vision\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>When Mobileye began nearly a quarter-century ago, driver-assistance technology was still in its infancy (and autonomous driving, by extension, was little more than a pipe dream). Some automakers were starting to introduce basic ADAS features, but the industry had yet to settle on what type of sensors to use for them.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3a4d7c7e97f877e6d44c955b38e2dbec_1680467160654.jpg\" alt=\"Mobileye CEO & founder Professor Amnon Shashua pioneered computer vision technology for advanced driver-assistance systems.\" width=\"1650\" height=\"789\" \u002F>\u003C\u002Fp>\n\u003Cp>One major manufacturer was working on a camera system for measuring the distance to the vehicle ahead, and invited a computer science professor named \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Famnon-shashua\u002F\">Amnon Shashua\u003C\u002Fa> to provide his input. Shashua showed that he could do with just one camera what they were trying to do with two. That successful demonstration led to his founding Mobileye and paved the way for advanced driver-assistance systems that could (and indeed would) be deployed at a scale great enough to revolutionize automotive safety.\u003C\u002Fp>\n\u003Cp>The reason why that automaker called upon Shashua was due to the expertise for which he was already becoming known in the emerging field of \u003Ca href=\"https:\u002F\u002Fwww.intel.com\u002Fcontent\u002Fwww\u002Fus\u002Fen\u002Finternet-of-things\u002Fcomputer-vision\u002Foverview.html\">computer vision\u003C\u002Fa>. This form of artificial intelligence employs highly sophisticated algorithms to interpret the inputs from simple cameras in order to understand their surroundings.\u003C\u002Fp>\n\u003Cp>To this day, that same core competence \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcomputer-vision-eccv-2022\u002F\">still drives us here at Mobileye\u003C\u002Fa>, where teams of engineers and developers are constantly \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fenhanced-computer-vision-driver-assistance\u002F\">honing our computer vision algorithms\u003C\u002Fa> to better identify a wider range of parameters in the driving environment, and developing \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\">the chips to put that technology into cars and out on the road\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>So why do we still embrace a camera-first approach above all other types of sensors? For two main reasons, as our CTO \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-cto-wins-prestigious-michael-bruno-award\u002F\">Prof. Shai Shalev-Shwartz\u003C\u002Fa> outlines in the video below.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F9yfuOlEyJyk\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Driving by Vision\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>As drivers, we make use of nearly all our senses when behind the wheel. We feel how the car interacts with the road, hear other cars coming and horns honking, and can even smell if something has gone wrong (like an engine overheating). But no sense is as essential to us as sight, and cameras are the sensors that function most like the human eye.\u003C\u002Fp>\n\u003Cp>Cameras can “see” the parameters of the road surface and the various obstacles, hazards, and other users on and around us – including other cars, trucks, bikes, and pedestrians. Cameras also provide rich semantic understanding of key details in the driving environment – such as identifying lane markings, recognizing colors on traffic lights, and even reading the text on two-dimensional traffic signs. \u003C\u002Fp>\n\u003Cp>For their part, radar and lidar deliver certain key advantages over cameras, such as detecting objects beyond line of sight and in lower-lighting or bad weather conditions. But they cannot replace the essential functions that cameras perform.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff2f6ccbbb100c4704eb8a448100e2ffd_1680467003332.jpg\" alt=\"Mobileye's surround-view camera array provides 360-degree computer-vision capabilities for advanced mobility solutions.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Made to Scale\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>There’s a huge range in the prices of different types of sensors. Lidars, for example, are expensive, but cameras are relatively affordable. Building our technology around low-cost cameras affords us the rare simultaneous opportunity to increase both the availability and the performance of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">our solutions\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>For the mass market, the low cost of camera sensors enables integration of our driver-assistance technology into more vehicles (without disproportionately affecting their purchase prices). Indeed, to date, more than 135 million vehicles have been equipped with our technologies, and that number is growing at a quickening pace.\u003C\u002Fp>\n\u003Cp>For higher-end vehicles, the low cost of camera sensors means that more of them can be cost-effectively integrated into advanced solutions. For example, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\">Mobileye SuperVision™\u003C\u002Fa> (our eyes-on\u002Fhands-off solution) incorporates 11 cameras to provide 360-degree surround coverage.\u003C\u002Fp>\n\u003Cp>Mobileye Chauffeur™ (our eyes-off\u002Fhands-off solution for consumer autonomous vehicles) and Mobileye Drive™ (our driverless solution for autonomous commercial vehicles) are similarly being developed under our camera-first approach. Only these solutions also feature a secondary, independent \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\">radar\u002Flidar\u003C\u002Fa> suite to back up the cameras (under our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fav-safety-demands-true-redundancy\u002F\">True Redundancy™\u003C\u002Fa> approach to sensing).\u003C\u002Fp>\n\u003Cp>Even our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\">REM™ mapping technology\u003C\u002Fa> owes its crowdsourcing capabilities to the proliferation of our camera-based solutions. And that mapping data is itself being implemented into a range of applications, from our turnkey systems for self-driving vehicles through to human-driven cars augmented by our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\">Cloud-Enhanced Driver-Assistance™\u003C\u002Fa> solution.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>Mobileye will, of course, continue developing additional inputs like the maps and active sensors mentioned above. And there’s no telling what novel developments might emerge in the future. But between their inherent capability and the scale afforded by their low cost, cameras have always been – and remain still – at the heart of everything we do.\u003C\u002Fp>","2023-04-16T07:00:00.000Z",[57,128,86,65],{"id":1152,"type":14,"url":1153,"title":1154,"description":1155,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1155,"image":1156,"img_alt":1157,"content":1158,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1159,"tags":1160},209,"mobileye-campus-jerusalem-leed-platinum-environmental-rating","Mobileye’s New HQ Receives Top Environmental Rating","We are honored to have earned the highest-possible LEED Platinum® rating from the U.S. Green Building Council for the new Mobileye campus in Jerusalem.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F5d451c8e4bdbb54323f9b68200ce2567_1707220750915.jpg","The new Mobileye Campus Jerusalem will serve as our global headquarters and principal research & development facility.","\u003Cp>Mobileye has new headquarters opening soon in Jerusalem, and we’re proud to report that it has received the highest-possible LEED Platinum® environmental rating for new construction.\u003C\u002Fp>\n\u003Cp>Issued by the \u003Ca href=\"https:\u002F\u002Fwww.usgbc.org\u002F\">U.S. Green Building Council\u003C\u002Fa> (USGBC), the Leadership in Energy and Environmental Design (LEED) program is one of the most respected and widely recognized environmental certification standards for construction. LEED projects are graded in nine categories for environmental impact, from integrative design and material use to human health and energy efficiency. Qualifying projects receive one of four grades, of which Platinum is the highest.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd8b23b8ec1da3302c4cacc63574ba201_1680686828219.png\" alt=\"U.S. Green Building Council LEED Platinum environmental construction certification for the new Mobileye Campus Jerusalem.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>Mobileye set out in the planning phase to earn a (second-highest) Gold rating as a minimum, but has exceeded that goal with a Platinum rating. Of particular note, the ground-up, purpose-built \u003Ca href=\"https:\u002F\u002Fwww.usgbc.org\u002Fprojects\u002Fmobileye-campus-jerusalem\">Mobileye Campus Jerusalem\u003C\u002Fa> received the highest possible marks for Water Efficiency, Innovation, and Regional Priorities (such as energy usage and water-efficient landscaping). The LEED Platinum rating underlines Mobileye’s focus on ambitious environmental, social, and governance goals.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Efficiency by Design\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>In building the facility, Mobileye has enacted a wide array of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fearth-day-autonomous-electric-vehicles-environment\u002F\">environmentally friendly\u003C\u002Fa> features. For example, we selected water-cooled (instead of air-cooled) chillers for the HVAC system, with a high coefficient of performance (CoP) between 13 and 19 – far exceeding the CoP of 3 at which most chillers are rated. External fins and internal blinds on all external façades help reduce incoming solar radiation (and therefore HVAC usage), which is especially significant in light of Israel’s extremely hot summers. And the underground on-premises \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-ces-2022-self-driving-secret-data\u002F\">data center\u003C\u002Fa> was designed for peak power-usage effectiveness (PUE). Such features help reduce overall energy usage by 68 percent – more than double our initial target – with the remaining energy usage completely offset by renewable energy credits.\u003C\u002Fp>\n\u003Cp>As much of the building material as possible was sourced from recycled content, including 100% of the steel. Nearly half of the open space is vegetated, fed by recycled condensed HVAC water. The facility includes underground \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fzeekr-mobileye-supervision\u002F\">electric vehicle\u003C\u002Fa> charging stations and ample parking for bicycles, and is situated in a highly developed area near many public mass-transit lines – with a new light-rail line currently being constructed alongside it, too.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fdd9111e1ef629f35347aea3185cd6cef_1707220777419.jpg\" alt=\"\" width=\"919\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Cp>“Environmental impact was a top priority for us in building Mobileye Campus Jerusalem,” notes Kobi Ohayon, Chief Operations Officer at Mobileye. “In planning the new facility, we looked at every metric possible and all the resources available to us in order to minimize our carbon footprint and create as ‘clean’ a facility as possible – both for those who’d be working there and for the city and environment surrounding us. We’re incredibly proud and honored that our efforts have earned Mobileye the top LEED Platinum rating from USGBC.”\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Green Building Leadership\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Though issued by an American organization, the LEED program is being adopted by building projects around the world. The new Mobileye facility is one of just seven in \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-salutes-israels-induction-into-the-global-automotive-industry\u002F\">Israel\u003C\u002Fa> (and only the second in \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\">Jerusalem\u003C\u002Fa>) to date to receive a LEED Platinum rating, alongside such noteworthy constructions as the new National Library of Israel, the Porter School of Environmental Studies at Tel Aviv University, and \u003Ca href=\"https:\u002F\u002Fwww.usgbc.org\u002Fprojects\u002Fintel-rd-campus-central-israel\">Intel’s new R&D facility in Petah Tikva\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>“Mobileye’s LEED certification demonstrates tremendous green building leadership,” said Peter Templeton, president and CEO of the U.S. Green Building Council. “LEED was created to make the world a better place and revolutionize our buildings and communities by providing everyone with access to healthy, green, and high-performing buildings. The new Mobileye Campus Jerusalem is a prime example of how the innovative work of project teams can create local solutions that contribute to making a global difference.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F287b9a7a0e3d1a1eb43ab91b3cf04805_1680630981501.jpg\" alt=\"Mobileye’s CEO Prof. Amnon Shashua, chairman Pat Gelsinger, and COO Kobi Ohayon survey construction of our new campus.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Cp>Once it opens later this year, the campus will serve as Mobileye’s global headquarters and principal R&D facility. The 130,000-square-meter (~1.4-million-square-foot) facility has been built in Jerusalem’s Har Hotzvim technological hub, near Mobileye’s current headquarters. The state-of-the-art campus has ten floors above ground and seven underground, with office space, conference rooms, and other facilities for over 2,500 \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Finternational-day-of-persons-with-disabilities-shekel-perfects-data-team\u002F\">employees\u003C\u002Fa> – along with specialized labs and a vehicle workshop custom-built to support our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002F\">development of technologies for assisted and autonomous driving\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>In addition to our new headquarters and our other facilities in Jerusalem, Mobileye operates offices and workshops across Israel and around the world – including locations in Germany, China, Japan, and the United States.\u003C\u002Fp>","2023-04-05T07:00:00.000Z",[141,114],{"id":1162,"type":14,"url":1163,"title":1164,"description":1165,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1165,"image":1166,"img_alt":1167,"content":1168,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1169,"tags":1170},207,"when-will-self-driving-cars-be-available","The Multiple Lanes on the Road to the Autonomous Future","When will self-driving cars be available? Mobileye has more than one answer, from hands-off to eyes-off and even completely driverless solutions.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff9f2700e1135d9967437197a1ec011bf_1681140041144.jpg","Mobileye is developing a broad spectrum of advanced solutions to put our self-driving technologies on the road.","\u003Cp>Let’s cut to the chase here for a moment. You’ve been hearing about self-driving vehicles for \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fhistory-autonomous-vehicles-renaissance-to-reality\u002F\">a long time now\u003C\u002Fa>, and you want to know where they are already. Reasonable enough, considering how much time and money have already gone into pursuing them. Yet even with some vehicles incorporating varying degrees of autonomous features, the dream of fully autonomous vehicles often seems just out of reach – tantalizingly close, but always a few years away.\u003C\u002Fp>\n\u003Cp>Well, we’re here to tell you that self-driving technology is coming, and it’s coming soon. Just when, exactly, is a matter of the degree of autonomy you’re looking for, and what form you want it to take.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Multiple Technologies, Multiple Solutions\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F83877fdae92f3ea904afe246cb12429b_1679908831728.jpg\" alt=\"Mobileye's vision for what self-driving vehicles will look like and how they will function has evolved and expanded.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>The trouble with self-driving vehicle technology is that it’s not monolithic, however it might seem from the outside. In order for self-driving vehicles to function safely and effectively, they’ll require a wide array of technologies working in unison – including various sensors, maps, processors, and software... all of which we’re hard at work perfecting here at Mobileye.\u003C\u002Fp>\n\u003Cp>The upside to that complexity, however, is that we can put those building blocks out on the road in a variety of configurations to incrementally deliver a \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">broad range of solutions\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The Increasing Capabilities of Driver Assistance\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F0ab72e520b424eb08286c8ba872014a8_1679908953250.jpg\" alt=\"Mobileye SuperVision is an eyes-on\u002Fhands-off solution derived directly from our self-driving development program.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Under Mobileye’s approach, the first step in rolling out the benefits of self-driving technology is to enable drivers to take their hands off the wheel (while keeping their eyes on the road).\u003C\u002Fp>\n\u003Cp>Some automakers have already begun offering this kind of functionality with increasingly sophisticated driver-assist feature sets – carrying names like Highway Pilot and Traffic-Jam Assist – many of which are enabled by our technology.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\">Mobileye SuperVision™\u003C\u002Fa> takes those capabilities to the next level. It is derived directly from our self-driving development program and enables a vehicle to function almost like a fully autonomous vehicle: cruise on the highway, inch along through traffic, change lanes, overtake slower-moving vehicles, navigate around obstacles on the shoulder, and more – all by itself, while the driver supervises.\u003C\u002Fp>\n\u003Cp>This highly advanced eyes-on\u002Fhands-off solution is already on the road in China inside a \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FR8qTOPpQ2-I\">growing variety of vehicles\u003C\u002Fa> from our launch partner Zeekr, whose parent company \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fgeely-holding-group-expands-mobileye-collaboration\u002F\">Geely is slated to expand Mobileye SuperVision\u003C\u002Fa> to additional markets and further models from other brands under its vast umbrella. And other automakers are due soon to follow. To date, there are already more than 90,000 vehicles equipped with Mobileye SuperVision on the road – a number we expect to reach 150,000 by the end of 2023, and to top 1.2 million by 2026.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The Coming Wave of Consumer AVs\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F079309dc521e94e5b734c26d89dbbd59_1679909463586.jpg\" alt=\"Mobileye Chauffeur is our eyes-off\u002Fhands-off solution for the coming wave of consumer autonomous vehicles.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>The next step will be to allow drivers to take not only their hands off the wheel, but their \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fdefining-a-new-taxonomy-for-consumer-autonomous-vehicles\u002F\">eyes off the road\u003C\u002Fa> as well.\u003C\u002Fp>\n\u003Cp>Fortunately, the bulk of the technology required for this high degree of autonomy is in fact already present in Mobileye SuperVision – including the computer-vision system, maps, driving policy, and processors. To take the next step up to Mobileye Chauffeur™ (our eyes-off\u002Fhands-off solution), we will replace the driver’s guidance with redundant processors and active sensors. This will allow consumer passenger vehicles to operate autonomously in a variety of (but not all) situations. And we’re glad to report that development and integration of these components is already well underway.\u003C\u002Fp>\n\u003Cp>Mobileye Chauffeur is slated to go into production in 2026. Based on the progress we’ve made to date and the path we’ve charted forward, automakers are already lining up to implement it in cars they’ll sell to the public. Once you get your hands on (or off) one of these vehicles, you’ll be able to sit back and enjoy the ride as the vehicle handles all the driving for you – first on highways, then on arterial and rural roads, and ultimately in the city as well.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Autonomous Mobility on Demand\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F979ae3214eadc09d897ae657815d8248_1679909488138.jpg\" alt=\"Mobileye Drive is our completely driverless solution for a full range of autonomous Mobility-as-a-Service applications.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Suppose you don’t need your own car, though, or don’t want to be saddled with the burdens of vehicle ownership. What if all you want is to be able to order a ride in a self-driving vehicle that will take you where you need to go?\u003C\u002Fp>\n\u003Cp>That’s what’s known as \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fdrive\u002F\">autonomous mobility-as-a-service (MaaS)\u003C\u002Fa>. We’re already seeing small fleets of robotaxis operating on limited bases in parts of the United States and China. With \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-drive-self-driving-system\u002F\">Mobileye Drive™\u003C\u002Fa>, we aim to take autonomous MaaS even further.\u003C\u002Fp>\n\u003Cp>Mobileye Drive incorporates everything found in Mobileye SuperVision and Mobileye Chauffeur. Only here, the circumstances under which it’s capable of operating autonomously are defined by geographic area, not by road type. And with a built-in teleoperation system (in case, say, the vehicle gets a flat tire or is pulled over by police), vehicles equipped with this solution won’t need a driver on board at all – and in some cases won’t even have a steering wheel. All you’ll need to do is open up an app (like \u003Ca href=\"https:\u002F\u002Fmoovit.com\u002F\">Moovit\u003C\u002Fa>) and order a ride – like you would with any taxi or ride-hailing service, but without a driver.\u003C\u002Fp>\n\u003Cp>We’ve already begun testing our robotaxis in multiple locations around the world. In the future, Mobileye Drive will be optimized for use in robotaxis, ride-pooling, public transport, and goods delivery, empowering manufacturers and transport operators to offer a variety of autonomous vehicles incorporating our reliable and road-tested self-driving technology.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FGZ9Dsm-oqi8\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>In short, there’s still a few steps left ahead of us on the road to the future of completely autonomous vehicles, and we can’t skip any of them. But we can enjoy the benefits of their ongoing development along the way as we incrementally transfer the responsibility of driving from the hands of humans to the advancing capabilities of self-driving technology.\u003C\u002Fp>","2023-03-30T07:00:00.000Z",[65],{"id":1172,"type":142,"url":1173,"title":1174,"description":1175,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1175,"image":1176,"img_alt":1177,"content":1178,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1179,"tags":1180},206,"israel-prize-awarded-to-mobileye-founder-prof-amnon-shashua","Prof. Amnon Shashua Awarded Israel Prize","The nation's highest civilian honor, the recognition for lifetime achievement cites our CEO's contruibutions to philanthropy, industry, and automotive safety.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F94c089545fd9312bb2e582198a23aecd_1679518410534.jpg","Mobileye president and CEO Prof. Amnon Shashua","\u003Cp>JERUSALEM, March 22 — Today, the State of Israel’s Ministry of Education named Prof. Amnon Shashua, Mobileye’s founder, president and CEO, as the recipient of the Israel Prize for Lifetime Achievement, the nation’s highest civilian honor.\u003C\u002Fp>\n\u003Cp>The Israel Prize, now in its 70\u003Csup>th\u003C\u002Fsup> year, celebrates excellence in arts, culture, business and sciences, along with recognizing those who have made lifelong contributions to Israeli society. Shashua was honored for his groundbreaking contributions to the tech industry in Israel, his global impact on automotive safety and applied artificial intelligence, and his philanthropy.\u003C\u002Fp>\n\u003Cp>“I am deeply honored to be recognized with this lifetime achievement award from the country I love,” said Shashua. “I have the privilege of working with thousands of people in Israel and around the world, and together we have achieved scientific and technological innovations with tremendous impact.\u003C\u002Fp>\n\u003Cp>“This moment also offers a chance to emphasize an important mission for me – fostering social cohesion across the communities that make Israel unique, a cause that my family pursues through our foundation’s work in several fields. Congratulations to the other recipients of the Israel Prize on their achievements.”\u003C\u002Fp>\n\u003Cp>Shashua is a world-renowned expert in AI, computer vision, natural language processing, and other related fields. He is a 2020 Dan David Prize laureate in the field of artificial intelligence and was selected as the 2022 Mobility Innovator by the Automotive Hall of Fame. Shashua has founded and actively leads four companies using applied AI in various fields from automotive to assisted wearables to fintech: Mobileye, OrCam, AI21 Labs, and \"One Zero,\" the first digital bank in Israel.\u003C\u002Fp>\n\u003Cp>Shashua and the other two recipients of this year’s lifetime achievement prizes will receive their award in a special ceremony on April 26.\u003C\u002Fp>\n\u003Cp>___________________________________\u003C\u002Fp>\n\u003Cp>Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 130 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye Global. All other marks are the property of their respective owners.\u003C\u002Fp>","2023-03-22T07:00:00.000Z",[114,50],{"id":1182,"type":14,"url":1183,"title":1184,"description":1185,"primary_tag":77,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1185,"image":1186,"img_alt":1187,"content":1188,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1189,"tags":1190},204,"johann-jungwirth-driverless-tech-business-faz-podcast","Mobileye’s SVP of AVs on Driverless Tech & Business","Explore the latest developments in autonomous driving technology and business models with insights from Mobileye's Senior VP of AV, Johann “JJ” Jungwirth. ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F56029497307b31e319f9a42612fd2a6d_1678708468949.png","Johann “JJ” Jungwirth, Senior Vice President of Autonomous Vehicles at Mobileye.","\u003Cp>Mobileye's Senior Vice President of AV Johann “JJ” Jungwirth recently appeared on the Frankfurter Allgemeine Zeitung (FAZ) podcast to discuss the state of self-driving development and what’s still needed to put autonomous vehicles on the road.\u003C\u002Fp>\n\u003Cp>In the interview, JJ details the level of AI required to support the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\">camera, radar, and lidar sensors\u003C\u002Fa> that are needed to model the driving environment, classify detected objects, and aid in \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">decision-making for autonomous driving\u003C\u002Fa>. But he also points out that autonomous driving has already begun to hit the streets with ride-hailing services in several cities.\u003C\u002Fp>\n\u003Cp>As part of the episode, JJ also discusses the business models for autonomous driving and driverless services – such as \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\">robotaxis\u003C\u002Fa>, which will be the first to adopt the technology, before private vehicles. JJ believes that OEMs will most likely adapt the systems that fit the driving styles of their customers to deliver a unique autonomous driving experience. He also discusses the issue of liability, and notes that insurers have signaled their readiness to provide coverage for vehicles and service providers.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.faz.net\u002Fpodcasts\u002Ff-a-z-kuenstliche-intelligenz-podcast\u002Fautonomes-fahren-und-robo-taxis-von-2025-an-auf-deutschen-strassen-18730179.html\" target=\"_blank\" rel=\"noopener\">Click here\u003C\u002Fa> to listen to the full interview (in German).\u003C\u002Fp>","2023-03-15T07:00:00.000Z",[65,78],{"id":1192,"type":14,"url":1193,"title":1194,"description":1195,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1195,"image":1196,"img_alt":1197,"content":1198,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1199,"tags":1200},202,"autonomous-vehicle-test-drivers-pioneers-mobility","Autonomous Vehicle Test Drivers: Pioneers of the Future of Mobility","A glimpse into the life of our test drivers, who are ensuring that the self-driving cars of the future are safe, reliable, and comfortable. ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F6a89554e4d540da12aa463c684695806_1678182142326.jpg","Mobileye’s autonomous-vehicle test drivers are professional driving instructors who test our technologies in real-world traffic.","\u003Cp>\"I love being in the AV workshop. I feel like I am an astronaut working at NASA.”\u003Cbr \u002F>– Tomer Horoszowski, Mobileye AV Test Driver\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>The average American or European spends at least \u003Ca href=\"https:\u002F\u002Fhbr.org\u002F2021\u002F05\u002Fthat-dreaded-commute-is-actually-good-for-your-health\">300 hours a year\u003C\u002Fa> in a car. But as progress in autonomous vehicle technology advances, we’re moving into a new era of mobility, in which that time behind a steering wheel will be completely transformed.\u003C\u002Fp>\n\u003Cp>Without the burden of driving a car, drivers will have new options for how to spend their commuting time. They might attend a virtual meeting with colleagues halfway across the world, play a game of chess, eat their lunch in a mobile restaurant, or take a much-needed nap. The possibilities are endless.\u003C\u002Fp>\n\u003Cp>As more and more people come to enjoy the benefits of autonomous technology, few will know about the pioneers who had a special role in ensuring that these vehicles were safe, reliable, and ready for widespread consumer adoption. \u003C\u002Fp>\n\u003Cp>At Mobileye, those pioneers are called our AV Test Driver Team.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Pioneers of the Future \u003C\u002Fstrong>\u003Cstrong>of Mobility\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Mobileye’s autonomous-vehicle (AV) test drivers are an elite group of professional drivers who are playing an essential role in making Mobileye’s “\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fdefining-a-new-taxonomy-for-consumer-autonomous-vehicles\u002F\">eyes-off\u002Fhand-off\u003C\u002Fa>” vision a reality.\u003C\u002Fp>\n\u003Cp>“We’re all race-car driving instructors,” Horoszowski points out. “It’s something that makes us the best AV test drivers.”\u003C\u002Fp>\n\u003Cp>Like the pilots who graduated from the U.S. Air Force Academy in the 1950s to become the first American astronauts at the dawn of the Space Age, the race car driving instructors who make up Mobileye’s AV testing team have found that their driving expertise provides them with the unique set of skills required for honing one of the greatest technological advancements of our time—self-driving cars.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Safety \u003C\u002Fstrong>\u003Cstrong>First\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Gilad Galili, our head test driver, explains that as a \u003Ca href=\"https:\u002F\u002Fwww.cnbc.com\u002F2017\u002F11\u002F24\u002Fadvanced-driving-lessons-why-you-should-take-them.html\">driving instructor\u003C\u002Fa>, your first priority is safety—and that the same principle applies to testing autonomous vehicles.\u003C\u002Fp>\n\u003Cp>“Safety is number one and we don’t take chances,” says Galili. “A good test driver is able to perceive all drivers around the vehicle and understand their intentions,” he adds. “He should be able to ‘read the street’ and always be several steps ahead of all the other drivers in the environment.”\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3763e4946b13323b7b41f1fec08bb5d7_1677677131497.jpg\" alt=\"Mobileye test drivers in the autonomous-vehicle workshop at our headquarters in Jerusalem, Israel.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Cp>Racing drivers possess excellent hand-eye coordination, car control, and situational awareness, allowing them to respond to changes in a split second. And race car driving also requires them to acquire expert skills in navigating challenging racetracks and making critical decisions under pressure. \u003C\u002Fp>\n\u003Cp>The AV test drivers of Mobileye emphasize that the art of car racing is what has taught them to drive at a level of safety that is much higher than most drivers.  \u003C\u002Fp>\n\u003Cp>“As a race-car driving instructor,” says Horoszowski, “you learn in-depth about how the elements of driving come together—for example, you must know precisely how to use the gas pedal and the brake to control the handling of the car. Racing also teaches you to plan. You are always planning your race and thinking about possible moves of other cars. The distances are very close—most of the race, you might be less than a meter from another car. So, you have to be very aware of other cars and know how to prevent an accident.”  \u003C\u002Fp>\n\u003Cp>\u003Cspan class=\"ui-provider xf b c d e f g h i j k l m n o p q r s t u v w x y z ab ac ae af ag ah ai aj ak\" dir=\"ltr\">\"It’s important to understand that we have to have very high-level driving skills,” adds AV test driver David Polak. “And not only advanced technical driving skills, but we actually have to understand the physics of driving as well.”\u003C\u002Fspan>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>A More Comfort\u003C\u002Fstrong>\u003Cstrong>able Ride\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Besides their main focus on safety, Mobileye’s AV test drivers also ensure that AVs using Mobileye technology feel comfortable and natural. For example, passengers should feel no difference between how an AV drives and how a human-driven vehicle drives.   \u003C\u002Fp>\n\u003Cp>“Because we train them on the streets of \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=pDyMzz8HMIc\">Jerusalem\u003C\u002Fa>, which are challenging due to the mix of different types of drivers, our cars drive very naturally and are able to adapt easily to other cities around the world,” says Galili. In fact, Mobileye AV testing has taken place—successfully—in some of the most challenging urban driving environments in the world, like \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=2H0UIkur1K0&t=74s\">Tokyo\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=Q69tBNCVJa0&t=16s\">Paris\u003C\u002Fa>, and \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=50NPqEla0CQ&t=1415s\">New York\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fff9893bac05bf161ea530ee4caa5e11f_1677749158035.jpg\" alt=\"A Mobileye self-driving vehicle operates autonomously while testing on the Champs-Élysées in Paris, France.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Cp>This aspect of driving is so important that Mobileye has also created another dedicated team that focuses exclusively on refining the comfort and natural feeling of the self-driving driving experience.  \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>To the Limit\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Veteran race-car drivers have years of experience handling a vehicle under pressure and know how to push their vehicles’ limits to achieve their goal of winning races.\u003C\u002Fp>\n\u003Cp>When the goal is to make autonomous driving far safer than human driving, Mobileye AV drivers face a different challenge: to understand and test the limits of an autonomous vehicle in a public environment while protecting pedestrians, passengers, other drivers, and themselves.\u003C\u002Fp>\n\u003Cp>“They have a really intense job,” says Kevin Rosenblum, Mobileye’s vice-president of AV sensing and one of the developers who works closely with the AV test team. “They have to have incredible focus during the whole ride. I admire them.”  \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Valuable Feedback\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>After every drive, the AV test drivers upload data, their notes, and video footage from the drive to the issue-tracking system. Years of advanced driving in challenging situations as professional racing drivers have helped the AV test drivers to become sensitive to all aspects of driving a vehicle, a skill which helps them provide valuable feedback to the development team.\u003C\u002Fp>\n\u003Cp>“I feel I am very sensitive to how the car drives—you could say I am ‘one’ with it,” says Gilad Heskia, another racing instructor who joined Mobileye as an AV test driver. This valuable feedback enables Mobileye’s development team to consistently improve the technology, making it essential to getting Mobileye’s technology ready for market. \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fc16abc73ab89975ee93af3f8407d4d88_1677677205203.png\" alt=\"Inside one of Mobileye’s developmental autonomous vehicles as it operates hands-free in a real-world driving situation.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Connecting to the Big Picture\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>“Being an AV test driver is a dream come true,” adds Polak. “I’ve always been in love with cars, since I was a kid. I’ve always loved reading about concept cars. And now, I am actually driving the \u003Ca href=\"https:\u002F\u002Fwww.bbc.com\u002Fnews\u002Fbusiness-45900484\">concept cars\u003C\u002Fa> that will one day become the standard cars of the future. It’s amazing.”  \u003C\u002Fp>\n\u003Cp>“I think that having AVs on the road is the most effective way to reduce accidents,” says Heskia. That’s because self-driving cars, unlike humans, never get drowsy, drunk, or distracted. In fact, Mobileye’s aim is for its \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\">redundant sensor subsystems\u003C\u002Fa> to ensure a level of safety that is one full order of magnitude higher than human drivers.\u003C\u002Fp>\n\u003Cp>“Having them on the road will also help \u003Ca href=\"https:\u002F\u002Flink.springer.com\u002Farticle\u002F10.1007\u002Fs11116-021-10241-0\">traffic flow\u003C\u002Fa> and minimize traffic jams” adds Heskia. “With \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fdrive\u002F\">MaaS\u003C\u002Fa> (Mobility-as-a-Service), if you need a car, you order one. Commutes will become much easier—no one likes to be stuck in traffic.”   \u003C\u002Fp>\n\u003Cp>But the ease and safety of the daily commute is not the only factor driving the AV test drivers.\u003C\u002Fp>\n\u003Cp>“AVs will save everyone a lot of energy and reduce emissions—they will have a big positive impact on the environment,” comments Polak.  \u003C\u002Fp>\n\u003Cp>With improved traffic flow and fewer cars on the road (since each car will carry more occupants than currently), AVs should reduce not only traffic congestion but also air pollution. And since self-driving cars will almost universally be electric and use smart technology to optimize their energy consumption, they will help to even further reduce greenhouse gas emissions.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>At Mobileye, our vision of a future with smarter automobiles has been evolving since 1999. And with every day that passes, we’re moving closer to that vision.\u003C\u002Fp>\n\u003Cp>Our trailblazing AV test drivers play an instrumental role in realizing that vision, ensuring that when our autonomous driving technology is rolled out, it’s safe and reliable for everyone.\u003C\u002Fp>","2023-03-07T08:00:00.000Z",[65],{"id":1202,"type":142,"url":1203,"title":1204,"description":1205,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1205,"image":1206,"img_alt":1207,"content":1208,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1209,"tags":1210},203,"mobileye-named-av-leader-by-two-industry-research-groups","Research Groups Name Mobileye AV Leader","Guidehouse Insights & ABI Research both placed Mobileye in number one position across categories in recent competitive assessments of AV technology suppliers.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb45a2e3d4810325ca074f6c0751cec09_1677702040136.png","A NIO ES8 equipped with Mobileye’s self-driving hardware and software. ","\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"none\">JERUSALEM, March 2, 2023\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-contrast=\"none\"> — Mobileye has been recognized as the leader in the development of autonomous vehicle technology by two leading research groups, Guidehouse Insights and ABI Research. In assessing several technology companies pursuing the AV market, both the \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fguidehouseinsights.com\u002Freports\u002Fguidehouse-insights-leaderboard-automated-driving-systems\">Guidehouse Insights Leaderboard: Automated Driving Systems\u003C\u002Fa>\u003Cspan data-contrast=\"none\"> and the inaugural \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.abiresearch.com\u002Fmarket-research\u002Fproduct\u002F7780562-autonomous-vehicle-platforms\u002F\">ABI Research Autonomous Vehicle Platforms\u003C\u002Fa>\u003Cspan data-contrast=\"none\"> reports concluded that Mobileye deserved the top score.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Mobileye achieved the top spot in both rankings within frameworks that assessed multiple companies both quantitatively and qualitatively across a broad range of criteria covering technology, innovation, strategy, implementation, customer bases and more. In the Guidehouse Leaderboard, Mobileye moved forward six positions since the last report published in 2021, an accomplishment that reflects the significant strides Mobileye has made in recent years demonstrating and delivering on its autonomous vision. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">\u003Cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F82455a5ee279086d58a1cc050edd01e8_1677773046696.png\" alt=\"Graphic of ABI Autonomous Vehicle Platform rankings chart\" width=\"600\" height=\"600\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Each report highlighted four companies leading the AV space, and Mobileye was the only company to appear in both lists.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">“We appreciate the independent recognition of our tech leadership from these two leading analytical firms,” said Mobileye President and CEO Prof. Amnon Shashua. “It’s a testament to the hard work of thousands of Mobileye employees who are developing the future of transportation every day. It’s also a reminder that this industry continues to develop quickly, and we should never take our success for granted.”\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">\u003Cimg style=\"display: block; margin-left: auto; margin-right: auto;\" src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F275a9574c58e1af9a90b4bda35dd5590_1677773156031.png\" alt=\"Graphic of Guidehouse Insights Autonomous Platforms ranking\" width=\"600\" height=\"600\" \u002F>\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">With AV research and development having matured in recent years, both research groups emphasized the importance of companies having viable business models for future AV deployment. Each report recognized that Mobileye’s established leading position and long track-record of execution in the vision-based ADAS market supports a strong path to realizing automated driving of increasing capabilities in both the consumer and mobility-as-a-service markets. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Another key advantage in both reports was Mobileye’s approach to scalable, deployable AV tech through its Mobileye SuperVision\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"none\"> eyes-on, hands-off technology which is already in production, along with the Mobileye Drive\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"none\"> robotaxi solution and Mobileye Chauffeur\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">™\u003C\u002Fspan>\u003Cspan data-contrast=\"none\"> consumer AV offering; all built on nearly two decades of success in camera-based safety and driver-assist systems installed in more than 135 million vehicles globally. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Media Contact: Justin Hyde\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003Cbr \u002F>\u003C\u002Fspan>\u003Ca href=\"mailto:Justin.Hyde@Mobileye.com\">\u003Cspan data-contrast=\"none\">Justin.Hyde@Mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"none\"> \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003Cbr \u002F>\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">+1 202-656-6749\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Analyst Relations: Luca Gervasoni\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003Cbr \u002F>\u003C\u002Fspan>\u003Ca href=\"mailto:Luca.Gervasoni@mobileye.com\">\u003Cspan data-contrast=\"none\">Luca.Gervasoni@mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"none\"> \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003Cbr \u002F>\u003C\u002Fspan>\u003Cspan data-contrast=\"none\">+ 1 954-600-3373\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">___________________________________\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 135 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\">\u003Cspan data-contrast=\"none\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-contrast=\"none\">. \u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"none\">“Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye in various jurisdictions. All other marks are the property of their respective owners.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{}\"> \u003C\u002Fspan>\u003C\u002Fp>","2023-03-02T08:00:00.000Z",[108,65,78,86,141,114],{"id":1212,"type":14,"url":1213,"title":1214,"description":1215,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1215,"image":1216,"img_alt":1217,"content":1218,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1219,"tags":1220},187,"history-autonomous-vehicles-renaissance-to-reality","A Brief History of Autonomous Vehicles – from Renaissance to Reality","Mankind has been dreaming of self-driving vehicles for decades – even centuries. Mobileye is proud to be driving those dreams across the finish line.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff451465cac4b08769db2c21cefb6d700_1676211731836.png","Automobiles, and autonomous vehicles especially, have evolved significantly from da Vinci's initial design to today's robotaxis.","\u003Cp>Someday, when historians look back at this point in history, how will they characterize it? If we at Mobileye have anything to say on the matter, they’ll reflect on this as the turning point just before the dawn of self-driving vehicles. A time before anyone could order a ride in a robotaxi or purchase a fully autonomous vehicle of their own. A time when automobiles were still driven by humans, parked by humans, goods delivered by humans, and commutes endured by humans for long hours spent behind the wheel... but a time when great strides were being made to translate the long-held dream of autonomous mobility into reality.\u003C\u002Fp>\n\u003Cp>That places us today at the precipice of a new era in automotive history. But just how long, exactly, have people been dreaming of autonomous vehicles? And what are the events that have brought us to where we are today, at this potential turning point in the evolution of human mobility?\u003C\u002Fp>\n\u003Cp>Keep reading for a brief history of the evolution of autonomous vehicles, and the part that Mobileye has come to play in ushering in their arrival.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>An Early Dreamer\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd658353fa03e68f11f9f535d10c72486_1677404199034.jpg\" alt=\"This rendering depicts a self-driving, self-propelled cart designed by Leonardo da Vinci in the 16th century.\" width=\"1604\" height=\"1070\" \u002F>\u003C\u002Fp>\n\u003Cp>The concept of an autonomous vehicle (AV) dates back to long before the advent of the automobile itself – to the 16\u003Csup>th\u003C\u002Fsup> century, if you can believe it. That’s when \u003Ca href=\"https:\u002F\u002Fwww.museogalileo.it\u002Fen\u002Fmuseum\u002Fexplore\u002Ftemporary-exhibitions\u002F275-leonardo-s-automobile-en.html\" target=\"_blank\" rel=\"noopener noreferrer\">Leonardo da Vinci designed a small, three-wheeled, self-propelled cart\u003C\u002Fa> regarded as not only the first self-driving vehicle, but the first robot of any kind. More clockwork than motor vehicle, it incorporated a series of springs for propulsion, a pre-programmable steering system, and a parking brake released remotely by rope.\u003C\u002Fp>\n\u003Cp style=\"text-align: left;\">In 2016, historians in Florence built a prototype from da Vinci’s original sketches. Da Vinci himself surely would not have been surprised \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FNLvoOkeCGrw\" target=\"_blank\" rel=\"noopener noreferrer\">to see it actually work\u003C\u002Fa> as it did. But we can only imagine what he would have thought if he’d seen \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-test-demo-road-trip\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">our AV recently driving itself through Milan\u003C\u002Fa>, where he spent part of his life and career.\u003C\u002Fp>\n\u003Ch3 style=\"text-align: left;\">\u003Cstrong>The Magnetism of the Future\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp style=\"text-align: left;\">It would take centuries for technology to catch up to where da Vinci left off. But when it did, the dream of autonomous vehicles rode along with it.\u003C\u002Fp>\n\u003Cp style=\"text-align: left;\">In 1925, electrical engineer \u003Ca href=\"https:\u002F\u002Fjalopnik.com\u002Fthe-man-who-tested-the-first-driverless-car-in-1925-had-1792312207\" target=\"_blank\" rel=\"noopener noreferrer\">Francis P. Houdina\u003C\u002Fa> radio-controlled a full-size automobile through the streets of New York. The car crashed and the project failed. But as automobiles proliferated in the decades that followed, so too did efforts to automate their operation.\u003C\u002Fp>\n\u003Cp style=\"text-align: left;\">At the 1939 New York World’s Fair, industrial designer Norman Bel Geddes showcased a \u003Ca href=\"https:\u002F\u002Fblog.mcny.org\u002F2013\u002F11\u002F26\u002Fi-have-seen-the-future-norman-bel-geddes-and-the-general-motors-futurama\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">dazzling array of visionary transportation concepts\u003C\u002Fa>. His “Futurama” exhibit featured rooftop helipads and interstate highways – as well as semi-autonomous vehicles to travel along them, using a combination of radio control and magnets embedded in the pavement.\u003C\u002Fp>\n\u003Ch5 style=\"text-align: left;\">\u003Ccode>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd4aec9c0fe628cf71bb3adb97f8f7251_1676214431534.jpg\" alt=\"Norman Bel Geddes' Futurama exhibit at the 1939 New York World's Fair.\" width=\"1604\" height=\"1070\" \u002F>\u003Cbr \u002F>\u003C\u002Fcode>\u003Cem>Norman Bel Geddes’ \"Magic Motorways\"\u003C\u002Fem>\u003C\u002Fh5>\n\u003Cp style=\"text-align: left;\">General Motors sponsored the exhibit and continued developing the idea over the following couple of decades with its \u003Ca href=\"https:\u002F\u002Fwww.gm.com\u002Fstories\u002Ffirebird\" target=\"_blank\" rel=\"noopener noreferrer\">Firebird series of concept cars\u003C\u002Fa>. Others experimented with magnetic guidance as well, but upgrading infrastructure proved too costly and restrictive to present a viable and scalable solution for autonomous mobility.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>An Academic Pursuit\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Academia led the next stage in AV development. In 1961, researchers at \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002F8Mxk2L3lu9Q\" target=\"_blank\" rel=\"noopener noreferrer\">Stanford University developed a small cart\u003C\u002Fa> to navigate on the surface of the moon using a basic form of computer vision. In 1977, mechanical engineers at the University of Tsukuba in Japan took the idea further with a passenger vehicle capable of driving autonomously at up to 20 miles per hour. Further progress was made in the mid-90s at the University of Parma in Italy – also not far from where da Vinci lived (and dreamed) centuries prior.\u003C\u002Fp>\n\u003Cp>One of the most significant efforts came under the aegis of the \u003Ca href=\"https:\u002F\u002Fwww.autonomousvehicleinternational.com\u002Ffeatures\u002Fthe-prometheus-project.html\" target=\"_blank\" rel=\"noopener\">Eureka PROMETHEUS Project\u003C\u002Fa>, which brought together a consortium of universities, automakers, and tech companies in the late 1980s and early ‘90s. Funded by (mostly European) governments to the tune of €749 million (roughly €1.3 billion in today’s money), the project culminated in 1994 with thousand-kilometer (~620-mile) drive on Parisian highways that included operating hands-free, in convoy, automatically changing lanes while tracking and passing other vehicles.\u003C\u002Fp>\n\u003Cp>Perhaps the greatest strides, however, were made once the Pentagon brought its enormous resources to bear.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The Best Defense\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Through its Defense Advanced Research Projects Agency (DARPA), the U.S. Department of Defense began supporting autonomous-vehicle research in the 1980s. Its first major undertaking in the self-driving sphere saw it fund the Autonomous Land Vehicle (ALV) project, which employed an early form of lidar to navigate off-road.\u003C\u002Fp>\n\u003Ch5>\u003Cem>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F9c88c92a3a8850ad15ad9aa385e12928_1676214226278.jpg\" alt=\"Stanford University's winning Volkswagen Touareg prototype at the DARPA Grand Challenge.\" width=\"1605\" height=\"1070\" \u002F>\u003Cbr \u002F>\u003C\u002Fem>\u003Cem>Photo courtesy of DARPA\u003C\u002Fem>\u003C\u002Fh5>\n\u003Cp>DARPA also supported \u003Ca href=\"https:\u002F\u002Fwww.cs.cmu.edu\u002Fafs\u002Fcs\u002Fproject\u002Falv\u002Fwww\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Carnegie Mellon University’s Navigation Laboratory\u003C\u002Fa> (or “Navlab”), which produced a series of experimental AVs. In 1986, Navlab 1 – a full-size van packed with computers, sensors, and cooling systems – drove itself (slowly) around suburban neighborhoods. In 1995, the Navlab 5 minivan drove from Pittsburgh all the way to San Diego under the banner of \"No Hands Across America.\" The onboard researchers handled the throtle and brakes while the vehicle steered itself for over 98% of the 2,850-mile (~4,600-kilometer) journey.\u003C\u002Fp>\n\u003Cp>The floodgates really opened, however, with the \u003Ca href=\"https:\u002F\u002Fwww.darpa.mil\u002Fabout-us\u002Ftimeline\u002F-grand-challenge-for-autonomous-vehicles\" target=\"_blank\" rel=\"noopener noreferrer\">DARPA Grand Challenge\u003C\u002Fa> – a series of competitions that saw Stanford and Carnegie Mellon (among others) sparring for AV leadership. None of the contestants finished the first desert competition in 2004, but five did the following year – led by Stanford’s Volkswagen Touareg (using Intel processors). Two years later, Carnegie Mellon won the urban competition with a specially equipped Humvee.\u003C\u002Fp>\n\u003Cp>DARPA’s competitions proved that self-driving technology could work. And that milestone in turn spurred a slew of startups, tech firms, and automakers to start their own AV development programs over the course of the following decade-plus – some of them employing former Grand Challenge contestants.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Building Blocks\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>While others were grappling with solving the AV question as a whole, Mobileye was already establishing itself as a leader in what would become the building blocks of self-driving technology.\u003C\u002Fp>\n\u003Ch5>\u003Ciframe src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FL1Bmc61l99A\" width=\"560\" height=\"314\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003Cbr \u002F>\u003Cem>Archival footage: Mobileye’s first developmental AV began testing in 2013.\u003C\u002Fem>\u003C\u002Fh5>\n\u003Cp>From our founding in 1999, Mobileye focused on developing and supplying computer-vision technology for advanced driver-assistance systems, and our experience and track record grew steadily from there. By 2013, our technology was already incorporated into more than a million vehicles, and the driver-assist features we were enabling kept getting more advanced. But as far as we’d come, we were convinced we could go even further.\u003C\u002Fp>\n\u003Cp>A self-driving system, we concluded, wasn’t really one system at all. It was a collection of individual functions working in unison – driver-assist functions like those our technology was already supporting. So we fitted an array of those systems to an Audi A7 and connected them to create our first self-driving car. It worked so well that our customers, who had already come to rely on us for increasingly sophisticated driver-assist technologies, begun asking us to furnish them with the hands-free driving features that our prototype demonstrated.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>From Vision to Reality\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>As demand grew, so too did our AV development program. Our test fleet expanded and evolved from the original internal-combustion Audis to Ford Fusion hybrid sedans and NIO ES8 electric crossovers – each with an ever-increasing range of autonomous capabilities. And we dispatched those vehicles for testing in a variety of challenging \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fautonomous-vehicle-testing-miami-stuttgart\u002F\" target=\"_blank\" rel=\"noopener\">locations around the world\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F5obbgj5gIug\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>Along the way, we upgraded from a single forward-facing camera to surround vision. We added \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\" target=\"_blank\" rel=\"noopener\">radar and lidar sensors\u003C\u002Fa>, specialized \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frem-mapping-avs\u002F\" target=\"_blank\" rel=\"noopener\">AV maps\u003C\u002Fa>, and the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fresponsibility-sensitive-safety-unwritten-rules-of-the-road\u002F\" target=\"_blank\" rel=\"noopener\">driving policy\u003C\u002Fa> to share the road safely and effectively with other drivers. And we've applied the results of our ongoing AV development program to a \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\">broad range of solutions\u003C\u002Fa> – from \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\" target=\"_blank\" rel=\"noopener\">enhanced\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-bridge-to-consumer-autonomous-vehicles\u002F\" target=\"_blank\" rel=\"noopener\">premium driver-assist\u003C\u002Fa> to complete \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-drive-self-driving-system\u002F\" target=\"_blank\" rel=\"noopener\">self-driving systems\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>As far as we’ve come, however, we know there’s still so much more to come. The dream of truly autonomous vehicles, held for so long by so many, is on the verge of becoming reality. And we’re proud of the role we’re playing in driving it across the line – and in teaching it to drive itself even further.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Ch6>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fall_timeline_1676366973.png\" target=\"_blank\" rel=\"noopener\">\u003Cimg style=\"width: 100%;\" src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fall_timeline_1676366973.png\" alt=\"The timeline of autonomous-vehicle development, from Da Vinci to today\" width=\"423\" height=\"1070\" \u002F>\u003C\u002Fa>\u003C\u002Fh6>","2023-02-27T08:00:00.000Z",[65],{"id":1222,"type":14,"url":1223,"title":1224,"description":1225,"primary_tag":59,"author_name":18,"is_hidden":47,"lang":173,"meta_description":1225,"image":1226,"img_alt":1227,"content":1228,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1229,"tags":1230},189,"responsibility-sensitive-safety-unwritten-rules-of-the-road","The Unwritten Rules of the Road, Codified in RSS™","Our drive for autonomous vehicle safety led Mobileye to formulate the Responsibility-Sensitive Safety™ model and share it with the world.\n\n ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7c7cc092c168c2aaa405916a1d7bef4f_1672933384808.png"," Responsibility-Sensitive Safety™ is an open, comprehensive, and verifiable mathematical model for autonomous vehicle safety.","\u003Cp>Picture yourself pulling up at an intersection. The right of way is yours, and the intersection looks clear – but still you proceed cautiously, with your foot covering the brake pedal. And good thing you did, because the other driver didn’t yield, and then a pedestrian you couldn’t see stepped off the curb from behind a parked van.\u003C\u002Fp>\n\u003Cp>Had you simply acted according to what you saw when approaching the intersection and legitimately followed the written rules of the road, you might have collided with one or both of them. But as an experienced driver, you followed your intuition and heeded the unwritten rules of the road as well.\u003C\u002Fp>\n\u003Cp>At Mobileye, we understand that those informal “rules” are no less important than the formal ones, so we’ve codified the former into the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" target=\"_blank\" rel=\"noopener\">Responsibility-Sensitive Safety™\u003C\u002Fa> model – an open, comprehensive, and verifiable mathematical model for \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Ftag\u002Fav-safety\u002F\" target=\"_blank\" rel=\"noopener\">autonomous vehicle safety\u003C\u002Fa>. It’s a formula for enabling self-driving cars to safely share the road with human drivers and a crucial element in the effort to deploy AVs at scale around the world.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F2c4b23d1842f9a42d8bffe01a946e938_1672933725530.png\" alt=\"For autonomous vehicles to interact safely with human-driven vehicles, they need a decision-making framework like RSS.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Why Do We Need an Autonomous Vehicle Safety Model?\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The Responsibility-Sensitive Safety model (RSS™) is based on the premise that for self-driving technology to be both safe and useful, it must be able to handle not only the majority of everyday driving tasks, but the “edge cases” as well. That is, it must be able to deal with unexpected events in an inherently unpredictable driving environment – at least for as long as autonomous vehicles (AVs) share the road with human drivers.  \u003C\u002Fp>\n\u003Cp>What an AV needs, then, is a set of parameters by which to evaluate all of its decisions. Not simply to control the vehicle’s movements or to strictly abide by traffic laws, but an all-encompassing framework for autonomous vehicle safety allowing the AV to deal with whatever situation might arise – even those we cannot predict. \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Five Rules to Live and Drive By\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>RSS rises to that challenge by codifying the intuitive skills of driving into \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frss-explained-the-five-rules-for-autonomous-vehicle-safety\u002F\" target=\"_blank\" rel=\"noopener\">five all-encompassing rules\u003C\u002Fa>:\u003Cbr \u002F>1) \u003Cstrong>Do not hit the car in front of you\u003C\u002Fstrong> – based on a mathematical formulation of the “two-second rule” we all learn in driving school.\u003Cbr \u002F>2) \u003Cstrong>Do not cut in recklessly\u003C\u002Fstrong> – similar to the longitudinal safe distance established by Rule #1, but applied here to the lateral distance between vehicles.\u003Cbr \u002F>3) \u003Cstrong>Right of way is given, not taken\u003C\u002Fstrong> – which tells the AV to watch out for other vehicles that may not yield the right of way to it, even when they should.\u003Cbr \u002F>4) \u003Cstrong>Be cautious in areas with limited visibility\u003C\u002Fstrong> – just because the vehicle’s sensors can’t detect a potential hazard doesn’t mean the way is clear.\u003Cbr \u002F>5) \u003Cstrong>If you can avoid a crash without causing another one, you must\u003C\u002Fstrong> – because ultimately, the goal is to prevent collisions.\u003C\u002Fp>\n\u003Cp>\u003Ciframe src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fpn88uJbkQqc\" width=\"560\" height=\"314\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>We believe that any AV following the five rules of RSS will never cause an accident, and will respond safely and appropriately to any potentially dangerous situation it might encounter. To substantiate that position, we’ve opened RSS up to independent scrutiny, and continue to invite outside members of industry, academia, and government to identify any scenario that an AV operating under RSS would not be able to handle. \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>The Leanest Possible Driving Policy\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>RSS stems from a \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F1708.06374\" target=\"_blank\" rel=\"noopener\">research paper on autonomous vehicle safety published in 2017\u003C\u002Fa> by three of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fabout\u002Fmanagement\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye’s leading minds\u003C\u002Fa>, but its real-world applications extend far beyond the academic.\u003C\u002Fp>\n\u003Cp>RSS forms the basis of the singularly lean driving policy by which our AVs operate. Rather than trying to determine every possible scenario that could potentially happen, our RSS-based driving policy focuses on what is likely to happen. It does so by continually calculating reasonable worst-case assumptions within the range of realistic possibilities – not unlike how a human drives.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3562e87a9e8ff414c63f5e334583c9af_1672933433454.png\" alt=\"Responsibility-Sensitive Safety codifies safe driving into five rules to govern all of an autonomous vehicle’s decisions.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>This “lean” computing process takes place on our highly efficient and compact \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" target=\"_blank\" rel=\"noopener\">EyeQ™ Systems-on-Chip\u003C\u002Fa> and enables the AV to make sound, split-second decisions on how to operate in real-world scenarios – not just in limited geographic areas, but in \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fautonomous-vehicle-testing-miami-stuttgart\u002F\" target=\"_blank\" rel=\"noopener\">locations around the world\u003C\u002Fa>, where driving conditions and behavior differ widely. \u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Opening Roads to Autonomous Mobility\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>However good and trustworthy it is, developing the technology required for an AV to function correctly is only part of the equation. To deploy autonomous vehicles at scale, AVs will need roads on which they’re allowed to drive. And that means that government regulators will need to adapt the rulebooks developed over the course of decades for human-driven vehicles to include self-driving vehicles as well.\u003C\u002Fp>\n\u003Cp>RSS supports that process by not merely telling, but showing regulators that self-driving technology based on RSS can be trusted to safely operate on public roadways. And that empowers regulators, policymakers, and other \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fresponsibility-sensitive-safety-gains-traction-worldwide\u002F\" target=\"_blank\" rel=\"noopener\">stakeholders\u003C\u002Fa> to make informed decisions in paving the way for autonomous mobility.\u003C\u002Fp>\n\u003Cp>The adaptability of RSS even allows for individual jurisdictions to customize the model to suit their local roadways and driving cultures. One country might prioritize safety, for example, by mandating that AVs maintain a greater distance from other vehicles, while another might emphasize fitting more seamlessly into traffic. RSS allows for such fine-tuning – much in the same way that speed limits are determined according to local conditions.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F2c34229cd8ee4f4cd998e05a3af9c63b_1677141578538.png\" alt=\"RSS formulates the unwritten rules of the road into an open, comprehensive, and verifiable mathematical model.\" width=\"1650\" height=\"776\" \u002F>\u003C\u002Fp>\n\u003Cp>Arguably more than any individual application or parameter, however, the Responsibility-Sensitive Safety framework is about engendering trust through transparency. And we believe that trust is precisely what’s needed for the world to embrace the future of transportation whose time has come.\u003C\u002Fp>","2023-02-23T08:00:00.000Z",[128,71],{"id":1232,"type":1233,"url":1234,"title":1235,"description":1236,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1236,"image":1237,"img_alt":1238,"content":1239,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1240,"tags":1241},201,"interview","autonocast-prof-amnon-shashua-taxonomy","Prof. Amnon Shashua: Changing How We Talk About Automated Driving","On the latest episode of the Autonocast, Mobileye’s founder and CEO discussed our new taxonomy for highly automated and fully autonomous vehicles.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F212a38ecdfd1db6e1045804f68b7b143_1676988542835.jpg","Professor Amnon Shashua, founder and CEO, Mobileye","\u003Cp>In episode #273 of the popular podcast \u003Cem>Autonocast\u003C\u002Fem>, Mobileye founder and CEO \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Famnon-shashua\u002F\">Professor Amnon Shashua\u003C\u002Fa> explains how Mobileye’s \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fdefining-a-new-taxonomy-for-consumer-autonomous-vehicles\u002F\">new taxonomy for autonomous driving\u003C\u002Fa> creates a clearer picture as the automotive industry moves forward with the productization of autonomous and highly automated systems.\u003C\u002Fp>\n\u003Cp>In this episode he and co-hosts Alex Roy, Ed Niedermeyer, and Kirsten Korosec covered a broad range of subjects related to mobility, from validation and the role of the driver to the future of driver assistance.\u003C\u002Fp>\n\u003Cp>Listen to the full episode at \u003Ca href=\"http:\u002F\u002Fwww.autonocast.com\u002Fblog\u002F2023\u002F2\u002F16\u002F273-mobileye-ceo-amnon-shashua-on-changing-how-we-talk-about-automated-driving\">Autonocast.com\u003C\u002Fa>, on \u003Ca href=\"https:\u002F\u002Fopen.spotify.com\u002Fepisode\u002F2nbqhVVaQt60rfk8KL8Qva?si=cKI5JTnrQZyB3xe9_d3Lvg\">Spotify\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fpodcasts.apple.com\u002Fus\u002Fpodcast\u002F273-mobileye-ceo-amnon-shashua-on-changing-how-we-talk\u002Fid1168333433?i=1000600049822\">Apple Podcasts\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fpodcasts.google.com\u002Ffeed\u002FaHR0cDovL3d3dy5hdXRvbm9jYXN0LmNvbS9ibG9nP2Zvcm1hdD1yc3M\u002Fepisode\u002FNTgwOTEzZTZkNDgyZTlkMmRhMjk2NzAxOjU4MDkyN2NlZTU4YzYyZDQ4MDFkNWVlNjo2M2VlODY2ODQxZjcwNDRjNjdjYWQxZTg?sa=X&ved=0CAYQuIEEahcKEwiY8b-F3Kb9AhUAAAAAHQAAAAAQAQ\">Google Podcasts\u003C\u002Fa>, or your other favorite podcast platform.\u003C\u002Fp>","2023-02-21T08:00:00.000Z",[65,156],{"id":1243,"type":14,"url":1244,"title":1245,"description":1246,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1246,"image":1247,"img_alt":1248,"content":1249,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1250,"tags":1251},200,"mobileye-supervision-bridge-to-consumer-autonomous-vehicles","Bridging to the Autonomous Future with Mobileye SuperVision™","Incorporating the essential building blocks for consumer AVs, Mobileye SuperVision™ is our bridge from assisted to autonomous driving.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F21a6e12d0e849bbf17263e0f0770df82_1676885917761.png","Derived from our camera-based self-driving system, Mobileye  SuperVision is our most advanced driver-assistance system yet.","\u003Cp>Of all the iconic landmarks in all the cities around the world, the Brooklyn Bridge is one that stands out. Not only for its stoic design or its impressively long span, but for the extent to which it transformed mobility and the city around it. The bridge’s construction opened up ground transportation between Brooklyn and Manhattan for the first time and (quite literally) paved the way for their unification into boroughs of the same metropolis.\u003C\u002Fp>\n\u003Cp>Now more than a century and a half since construction began to bridge that divide, we’re gazing across another. On one side is the driver-assistance technology we’ve been pioneering for decades; on the other, the future of fully autonomous mobility. \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\">Mobileye SuperVision™\u003C\u002Fa> bridges the distance between them.\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F536311f8f5f148bfd3136200b3a6bbbd_1676550949128.jpg\" alt=\"Tested in some of the most challenging cities in the world, Mobileye SuperVision is our bridge to consumer autonomous vehicles.\" width=\"1605\" height=\"1070\" \u002F>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Eyes on the Road, Hands off the Wheel \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The act of driving regular cars requires the driver to watch the road and steer the vehicle. Completely self-driving cars will relieve the human driver of both those obligations (if they’ll even require human drivers at all). With Mobileye SuperVision, you still have to watch the road, but you can take your hands off the wheel and let the system do most of the driving for you (within its specified Operational Design Domains – that is, the types of road on which it is capable of self-operating).\u003C\u002Fp>\n\u003Cp>Mobileye SuperVision is essentially the production version of the camera-based autonomous driving system that we’ve been testing and honing for years in real-world traffic on public roadways in some of the world’s most challenging driving environments – from Jerusalem to \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fpress-kit\u002Fpress-kit-mobileye-new-york-city\u002F\">New York\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fparis-ratp-autonomous-vehicle-testing-pilot\u002F\">Paris\u003C\u002Fa> to \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002F2H0UIkur1K0\">Tokyo\u003C\u002Fa>. And it brings to bear all that we’ve learned over the course of nearly a quarter century in developing advanced driver-assistance systems, which has seen our technology integrated into more than 125 million vehicles (and counting).\u003C\u002Fp>\n\u003Cp>Based on such extensive experience, Mobileye SuperVision delivers eyes-on but hands-off operation of standard driving functions on all regular road types at up to 80 mph (130 km\u002Fh). In other words, a vehicle equipped with Mobileye SuperVision can function largely like an autonomous vehicle – albeit while under the driver’s guidance.\u003C\u002Fp>\n\u003Cp>\u003Ciframe src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FmvOqxOeO0pI\" width=\"560\" height=\"314\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Incorporating the Latest Technologies\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>To enable such self-driving functionality, Mobileye has developed (and continues to develop) a broad range of technologies – including sensors, maps, driving policy, and processors.\u003C\u002Fp>\n\u003Cp>Mobileye SuperVision incorporates all of these – including 11 cameras, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\">REM™\u003C\u002Fa>-powered Mobileye Roadbook™ maps, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">RSS™\u003C\u002Fa>-based driving policy, and two of our latest \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\">EyeQ™ Systems-on-Chip\u003C\u002Fa> in an integrated ECU. And with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-zeekr-ota-update\u002F\">over-the-air updates\u003C\u002Fa>, it has the built-in capacity for further upgrades as development advances.\u003C\u002Fp>\n\u003Cp>The sum of all these parts makes Mobileye SuperVision both a highly advanced driver-assistance system and the baseline for eyes-off solutions (within certain ODDs) and for completely driverless solutions (without need for a driver in the vehicle at all). With the cameras, maps, and driving policy required for eyes-off operation already proven in the context of the eyes-on\u002Fhands-off system, all that will be needed to move from eyes-on to eyes-off is to add \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\">redundancies\u003C\u002Fa> (such as \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\">active sensors\u003C\u002Fa> and additional processing power).\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\" target=\"_blank\" rel=\"noopener\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fab6850f3abe51847503f9afb8bf2168c_1676559702049.png\" alt=\"Mobileye SuperVision incorporates a full range of cutting-edge technologies, including sensors, processors, and software.\" width=\"1650\" height=\"777\" \u002F>\u003C\u002Fa>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Driving Today on the Bridge to the Future\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>This cutting-edge solution is already on the road and is destined for further implementation. Our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Four-new-deal-with-geely-is-a-game-changer-says-shashua\u002F\">launch partner \u003C\u002Fa>Zeekr (part of the Geely group) has already put over 70,000 \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FR8qTOPpQ2-I\">Zeekr 001\u003C\u002Fa> electric vehicles on the road equipped with Mobileye SuperVision. It recently revealed the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fzeekr-mobileye-supervision\u002F\">Zeekr 009\u003C\u002Fa>, also featuring Mobileye SuperVision. And Geely has announced that \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fgeely-holding-group-expands-mobileye-collaboration\u002F\">three more brands\u003C\u002Fa> under its vast umbrella will incorporate this system into additional models.\u003C\u002Fp>\n\u003Cp>Based on orders already in place, there are due to be 150,000 vehicles on the road incorporating Mobileye SuperVision by the end of 2023; and by 2026, we expect to have nine different models from six manufacturers – amounting to an anticipated 1.2 million vehicles – featuring this highly advanced system on roads around the world.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F989ddfceb9b1ef037c04d5cc3f711a26_1676551140698.jpg\" alt=\"Mobileye SuperVision allows for eyes-on\u002Fhands-off capabilities on a full range of Operational Design Domains.\" width=\"1650\" height=\"838\" \u002F>\u003C\u002Fp>\n\u003Cp>Between the capabilities it delivers today and the baseline it establishes for the future, Mobileye SuperVision serves as our bridge between assisted driving on one side, and autonomous driving on the other. In ushering in its arrival, we get a glimpse at what it must have felt like to drive across the East River for the first time, and at the promise such a monumental feat of engineering holds to transform the scope of human mobility.\u003C\u002Fp>","2023-02-16T08:00:00.000Z",[57,128],{"id":1253,"type":101,"url":1254,"title":1255,"description":1256,"primary_tag":17,"author_name":688,"is_hidden":47,"lang":173,"meta_description":1256,"image":1257,"img_alt":1258,"content":1259,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1260,"tags":1261},199,"defining-a-new-taxonomy-for-consumer-autonomous-vehicles","Defining a New Taxonomy for Consumer Autonomous Vehicles","Mobileye’s CEO and CTO detail the new taxonomy revealed at CES 2023 for deploying eyes-off\u002Fhands-off self-driving consumer vehicles.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F848b0bf9c27dbd2df10eaa07a2a2c790_1675702827035.png","Mobileye's new taxonomy for autonomous vehicles is based on defining the interaction between man and machine.","\u003Cp>Tech and auto companies had a very turbulent 2022 in almost every aspect. In spite of great turmoil, the automobile industry has shifted gears in its pursuit to adopt and deploy consumer-level autonomy in the near future. A number of the industry conventions around autonomous driving have again become unclear and ambiguous as a result of this development. The confusion threatens to obscure the real benefits of autonomy in terms of safety, convenience, and efficiency.  \u003C\u002Fp>\n\u003Cp>We see a growing need for a new way of talking and thinking about consumer AVs (CAV) that recognizes how they will work in the real world, and ensures the usefulness, safety, and scalability of consumer-level AVs. To achieve that, Mobileye has laid down a new taxonomy alongside a set of basic requirements for CAV, which was presented in our yearly address at \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fces-2023-recap\u002F\">the last CES\u003C\u002Fa>.\u003C\u002Fp>\n\u003Ch3>The Need for Clarity\u003C\u002Fh3>\n\u003Cp>Autonomous driving is viewed mainly through the prism of SAE Levels of autonomy, also known as J3016, which is widely accepted as the industry standard. When introduced in 2014, the SAE J3016 provided a very good reference for AV development and regulation while everybody was still wrapping their minds around the question of “what is autonomous driving, exactly?”. However, as we move forward with the productization of autonomous and highly automated systems, it is evident that the current Level 1-5 taxonomy cannot form a basis for a product-oriented description that is clear for both the engineer and the end customer.\u003C\u002Fp>\n\u003Cp>When looking at the current industry discourse, we see two issues that need to be addressed. The first issue is vague and unclear definitions from an end-user perspective. Second and more important is the unnecessary distinction between Level 3 and Level 4. According to J3016, Level 3 and Level 4 differ in the Minimum Risk Maneuver (MRM) requirements and the vigilance level of the human driver. This may lead to “\u003Cem>failures by design\u003C\u002Fem>” of the autonomous system, as demonstrated in an \u003Ca href=\"https:\u002F\u002Famnon-shashua.medium.com\u002Fon-black-swans-failures-by-design-and-safety-of-automated-driving-systems-1401076e9027\">opinion paper\u003C\u002Fa> we published in 2021.\u003C\u002Fp>\n\u003Ch3>Simpler Language\u003C\u002Fh3>\n\u003Cp>To deal with the deficiencies depicted above, we propose a simplified language that defines the levels of autonomy based on four axes: (i) Eyes-on\u002FEyes-off, (ii) Hands-on\u002FHands-off, (iii) Driver versus No-driver, and (iv) MRM requirement. As seen in the chart below, this creates four product categories covering the entire spectrum of automated driving.\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F84fb9e3a75b5cc9da909240510812dc9_1675683237023.png\" target=\"_blank\" rel=\"noopener\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F84fb9e3a75b5cc9da909240510812dc9_1675683237023.png\" alt=\"Mobileye's new taxonomy for driving automation, based on the respective roles of man and machine.\" width=\"1650\" height=\"928\" \u002F>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>1) Eyes-on\u002FHands-on\u003C\u002Fstrong>: this category covers all the basic driver-assist functions, such as Autonomous Emergency Braking (AEB) and Lane Keep Assist (LKA). The driver is still responsible for the entire driving task while the system monitors the human driver (Level 1-2 according to SAE).\u003C\u002Fp>\n\u003Cp>\u003Cstrong>2) Eyes-on\u002FHands-off\u003C\u002Fstrong>: this is a driver-assistance function where the driver’s hands can be off the steering wheel while the system takes control of the driving and the driver supervises the system (hence, Eyes-on) within a specified Operational Design Domain (ODD). With a proper driving monitoring system (DMS), one can create a very useful human\u002Fmachine synergetic interaction (analogous to pilots supervising the auto-pilot system in an aircraft) and increase the overall safety of driving. This is usually referred to as Level 2+, a term that was first coined by Mobileye and not formally defined by SAE. Due to the absence of the Eyes-on\u002FHands-off category from the SAE taxonomy, it is usually wrongly classified as Level 3-4. It is important to emphasize that the role of the “supervisor” changes from (1) to (2): in an Eyes-on\u002FHands-on system it is the \u003Cem>system\u003C\u002Fem> that is supervising the driver and intervening (rarely) to avoid an accident (like applying the brakes to avoid collision). It is important that \u003Cem>interventions\u003C\u002Fem> by the system happen rarely and in emergency situations rather than a continuous interference with the human driver. In an Eyes-on\u002FHands-off system it is the \u003Cem>human driver\u003C\u002Fem> who is supervising the system. To be effective, the interventions should happen rarely, and in order to keep the human driver vigilant, a proper DMS should be in place. An Eyes-on\u002FHands-off setting increases safety since the failure modes of the human and the system are very different: human failures are mostly concentrated on lack of attention and distraction that can happen in good weather and mundane road conditions whereas system failures mostly occur in challenging environments (weather, road types, and traffic maneuvers).\u003C\u002Fp>\n\u003Cp>\u003Cstrong>3) Eyes-off\u002FHands-off\u003C\u002Fstrong>: the system controls the driving function within a specified ODD (say, highways with on\u002Foff ramp transitions) without the human driver needing to supervise the driving (hence, Eyes-off). Once the ODD comes to an end, and if the driver does not take back control, the system is able to conduct a full MRM and stop safely on the shoulder of the road. This category can be classified as either Level 3 or Level 4 according to SAE J3016. It is worth noting that J3016 exempts the Level 3 system from performing full MRM by allowing it to stop in-lane, but we argue that a \u003Ca href=\"https:\u002F\u002Ftheintercept.com\u002F2023\u002F01\u002F10\u002Ftesla-crash-footage-autopilot\u002F\">stop-in-lane emergency maneuver is not safe\u003C\u002Fa>. In addition, the Eyes-off\u002FHands-off system still requires a qualified driver sitting in the driver’s seat so he\u002Fshe will be able to take control in non-safety-related situations happening at zero velocity in order not to jeopardize the flow of traffic (e.g., deadlocks, policeman directing traffic, etc.).\u003C\u002Fp>\n\u003Cp>\u003Cstrong>4) No Driver\u003C\u002Fstrong>: when there is no human driver present, say in a Robotaxi, the role of the human driver is replaced by a \u003Cem>teleoperator\u003C\u002Fem> who can intervene to resolve non-safety situations like those mentioned above.\u003C\u002Fp>\n\u003Cp>In the simplified language we propose above, the requirements from the driver are well defined, so there are no ambiguities from the end-user perspective. The human driver is either supervised by the system or is supervising the system or is allowed to disconnect attention entirely without being bothered by the system. The Eyes-off category translates to a full MRM capability of safely stopping on the shoulder of the road without blocking traffic. The value proposition of an Eyes-off setting is \u003Cstrong>time\u003C\u002Fstrong>, i.e., the human in the driving seat can legally attend to non-driving matters, within the prescribed ODD, without the need to supervise the system.\u003C\u002Fp>\n\u003Ch3>Usefulness, Safety, Scalability\u003C\u002Fh3>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F4fae36a27d981a211498c92aaf56312a_1675683373282.png\" alt=\"The process of moving from human operation to autonomous driving in an ODD should be clear.\" width=\"1650\" height=\"704\" \u002F>\u003C\u002Fp>\n\u003Cp>We contend that an Eyes-off system should be governed by three principles: (i) usefulness, (ii) safety, and (iii) scalability.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Usefulness\u003C\u002Fstrong>: A good Eyes-off system should operate in an ODD that enables prolonged and continuous periods of use such that going in\u002Fout from an ODD does not happen frequently. As depicted in the figure below, if we look at the average person’s commute, going in\u002Fout the ODD should happen only once. According to this requirement, we set the minimum useful ODD threshold to be freeways up to 80 mph, including the ability to navigate on-ramps and off-ramps. Anything below that is considered not useful. For example, a system with an ODD of freeways up to 40 mph would require the driver to take control every time the lead vehicle exceeds 40 mph. This also poses a safety risk as it increases the friction between the human and the machine.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Safety\u003C\u002Fstrong>: A safe Eyes-off solution should have no systematic errors, i.e., an error that can be reproduced in a certain emergency situation that is within the system’s ODD. Trying to hide behind statistics that the particular scenario will only happen rarely leads to unacceptable compromises in system design. \u003C\u002Fp>\n\u003Cp>To better articulate the point, let's look at the ODD of current Level 3 systems coming to market – freeways-only up to 40 mph with no lane changes. Because of the low operating speed, the system should allegedly be able to cope with any in-lane emergency braking. However, out-of-lane emergency maneuvers – responding to dangerous cut-ins, for example – are considered rare and not supported by the sensor configuration, the sensing state, and driving policy algorithms. For example, a sensor configuration that does not include high-resolution 360-degree coverage cannot support a lane change under all traffic densities. Failing to do so creates a “reproducible error.”\u003C\u002Fp>\n\u003Cp>The result of our requirement for no reproducible errors is that the system ODD should be much larger than the customer ODD. In other words, it is possible to limit the ODD to the customer to not allow lane changes in a regular mode of operations, but still, the system needs to be able to change lanes in an emergency maneuver. This notion should translate directly to the system’s design –high-resolution surround sensors, driving policy, high-definition maps, controllability, and so forth.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Scalability\u003C\u002Fstrong>: We believe the operational domain of a full Eyes-off\u002FHands-off vehicle can best be thought of as a stack of ODDs – starting from highways, then adding arterial roads, signaled intersections, unprotected turns and so forth, that eventually add up to autonomy everywhere. We call those ODDs “autonomous blades,” and through this, we have built an evolutionary path of incremental steps in our products from Eyes-on\u002FHands-off systems to full AVs.\u003C\u002Fp>\n\u003Cp>Without this approach, AV development simply doesn’t scale. Every blade of operation requires a “moonshot” of validation and engineering, and if that moonshot is successful, it doesn’t guarantee success in the next blade. Just because a prototype AV can manage city streets in daylight hours doesn’t mean it can easily adapt to multilane highways at 80 mph at night, and vice versa. Instead, we have focused our “moonshot” efforts on the Eyes-on\u002FHands-off system with full ODD as a baseline for eyes-off blades.  \u003C\u002Fp>\n\u003Ch3>The Bridge to Consumer AVs\u003C\u002Fh3>\n\u003Cp>Our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\">Mobileye SuperVision™\u003C\u002Fa> camera-only Eyes-on\u002FHands-off system already contains the entire technological backbone needed to enable hands-off driving, such that the transition to eyes-off blades only adds active sensors as redundant components to the perception system. All the heavy lifting of detailed sensing, the driving policy required to maneuver the car in any traffic scenario, and the requirement for HD maps covering all types of roads are all done in the SuperVision system. The redundancies to the perception system then become the only incremental work needed to make the leap from eyes-on to eyes-off.\u003C\u002Fp>\n\u003Cp>Today more than ever, we believe in the potential for autonomous technology to transform the world and how we travel daily. We at Mobileye know many share that belief, and as we put our technologies like SuperVision on the road, we will see those benefits come to life – especially if our industry can clearly share what that future looks like and disambiguate as many uncertainties as we can.\u003C\u002Fp>","2023-02-06T08:00:00.000Z",[108,65,100,156],{"id":1263,"type":142,"url":1264,"title":1265,"description":1266,"primary_tag":148,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1266,"image":1267,"img_alt":1268,"content":1269,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1270,"tags":1271},196,"mobileye-shares-fourth-quarter-and-full-year-2022-results-and-provides-2023-outlook","Q4 & Full-Year 2022 Financial Results","These latest financial results highlight the growing demand for the state-of-the-art, industry-leading products and solutions in Mobileye's portfolio.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fee8834cb53a833f204a9b06d1ab12bf0_1674731579225.png","Mobileye’s validation lab is shown testing new software against real world data.","\u003Cp>Mobileye today released its financial results for the fourth quarter and full-year of 2022, providing new details on demand for core ADAS and traction for advanced solutions. Mobileye’s fourth quarter performance highlights included a revenue increase of 59% year-over-year to $565 million.\u003C\u002Fp>\u003Cp>Read the entire update \u003Ca href=\"https:\u002F\u002Fir.mobileye.com\u002Fnews-releases\u002Fnews-release-details\u002Fmobileye-discloses-fourth-quarter-and-full-year-2022-results-and\" rel=\"noopener noreferrer\" target=\"_blank\">here\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>Access the earnings call webcast \u003Ca href=\"https:\u002F\u002Fir.mobileye.com\u002Fevents\u002Fevent-details\u002Fq4-2022-mobileye-earnings-call\" rel=\"noopener noreferrer\" target=\"_blank\">here\u003C\u002Fa>.  \u003C\u002Fp>","2023-01-26T15:00:00.000Z",[141,149],{"id":1273,"type":14,"url":1274,"title":1275,"description":1276,"primary_tag":121,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1276,"image":1277,"img_alt":1278,"content":1279,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1280,"tags":1281},195,"ces-2023-recap","Driving Evolution at CES 2023: Everything You Might Have Missed","Mobileye returned to CES this year as a public company, with a lot to show – including a clear path to the future of autonomous driving.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe1156cc4e033b35050360f512d4202c0_1673894548922.jpg","Mobileye displayed its latest solutions and technologies for assisted and autonomous driving at CES 2023 in Las Vegas.","\u003Cp>The global technology industry descended on Las Vegas earlier this month for CES 2023. After participating virtually for the past two years, Mobileye returned to the big show as a newly listed company with a clear vision for the path towards the future of autonomous mobility.\u003C\u002Fp>\n\u003Cp>This year, our focus was on \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye SuperVision™\u003C\u002Fa> and bridging the gap from assisted to autonomous driving. Here’s a rundown of everything you might have missed from Mobileye at CES 2023, from the auditorium to the show floor.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FKQ1_SqcU2Ak\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Mobileye: Now, Next, Beyond – press conference with Prof. Amnon Shashua\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>Our CEO’s annual address at CES stands among the most eagerly anticipated events in automotive tech, and this year more viewers signed up and tuned in than ever before. \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Famnon-shashua\u002F\" target=\"_blank\" rel=\"noopener\">Professor Amnon Shashua\u003C\u002Fa> \u003Cspan style=\"background-color: white;\">presented a new driving automation taxonomy, using three axes to characterize degrees of autonomous capability: eyes on or eyes off, hands on or hands off, driver or no driver.\u003C\u002Fspan> He gave insight into our most advanced technologies and solutions, outlined our business strategy, discussed the path of validating an eyes-off system, and much more.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUCBlR4QFQCA\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong> On the Show Floor at CES\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>At CES 2023, Mobileye greeted tens of thousands of visitors at our booth with an array of informative and engaging demos. At its center was an immersive theater experience highlighting \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\" target=\"_blank\" rel=\"noopener\">our most advanced solutions\u003C\u002Fa>, from \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\" target=\"_blank\" rel=\"noopener\">Cloud-Enhanced Driver-Assist™\u003C\u002Fa> through \u003Cspan style=\"color: #080606;\">Mobileye SuperVision™ to Mobileye Chauffeur™ and Mobileye Drive™\u003C\u002Fspan>.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fvideoseries?list=PLWCfS_Yhbvs7b4VB3lem-V0z5W57QALP0\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>Two vehicles graced our show stand: the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-zeekr-ota-update\u002F\" target=\"_blank\" rel=\"noopener\">Zeekr 001\u003C\u002Fa> and our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\" target=\"_blank\" rel=\"noopener\">NIO ES8 robotaxi\u003C\u002Fa>. Both were flanked by sliding “x-ray” screens to give visitors a look inside the Mobileye systems that deliver their respective advanced capabilities. We also shined the spotlight on our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fradar-lidar-next-generation-active-sensors\u002F\" target=\"_blank\" rel=\"noopener\">imaging radar and FMCW lidar\u003C\u002Fa>, demonstrated our full product spectrum, and showcased the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" target=\"_blank\" rel=\"noopener\">EyeQ™ chips\u003C\u002Fa> that power everything we do.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fvideoseries?list=PLWCfS_Yhbvs4WPIkTLuDmLBQyBPFJh_ia\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Beyond the Convention Center\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>During the show we also announced a \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-and-wnc-collaborate-on-imaging-radar-production\u002F\" target=\"_blank\" rel=\"noopener\">new partnership for radar production\u003C\u002Fa>, revealed that we have secured an \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-kicks-off-av-pilot-in-germany\u002F\" target=\"_blank\" rel=\"noopener\">AV testing permit\u003C\u002Fa> in Germany, detailed our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-growth-pipeline-fueled-with-supervision-and-future-av-wins\u002F\" target=\"_blank\" rel=\"noopener\">business pipeline\u003C\u002Fa>, and participated in the introduction of the \u003Ca style=\"color: #0070c0;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fholon-mover-ces-mobileye-drive\u002F\" target=\"_blank\" rel=\"noopener\">HOLON mover\u003C\u002Fa> (featuring Mobileye Drive).\u003C\u002Fp>\n\u003Cp>Three of our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fabout\u002Fmanagement\u002F\" target=\"_blank\" rel=\"noopener\">senior executives\u003C\u002Fa> also provided additional insight in the run-up to the show into the unique ways in which Mobileye is driving the evolution from assisted to autonomous mobility.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fvideoseries?list=PLWCfS_Yhbvs7kgUMj7mFSEwoJfKH2TNBd\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>For Mobileye, CES 2023 was an exciting and action-packed show, and we’re energized to reach new heights – Now, in what comes Next, and in what lies Beyond.\u003C\u002Fp>","2023-01-25T08:00:00.000Z",[122,128],{"id":1283,"type":142,"url":1284,"title":1285,"description":1286,"primary_tag":77,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1286,"image":1287,"img_alt":1288,"content":1289,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1290,"tags":1291},194,"holon-mover-ces-mobileye-drive","HOLON Mover Featuring Mobileye Drive™ at CES","The latest application for our turnkey self-driving system takes the futuristic form of an urban shuttle designed for autonomous Mobility-as-a-Service.\n\n","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fca7685f335a68afb05bb2ab5d1ebaf0a_1672941596222.jpg","The HOLON mover incorporates Mobileye Drive, our turnkey self-driving system, to deliver fully autonomous urban transportation. (Credit: HOLON)","\u003Cp>What will autonomous mobility look like? What form will self-driving vehicles take? There’s no single answer – but here’s one rather enticing proposition: \u003Ca href=\"https:\u002F\u002Fwww.benteler.com\u002Fen\u002Fpress-media\u002Fnews-and-press-releases\u002Fdetail\u002FThe%20autonomous%20mover%20for%20everyone:%20World%20premiere%20of%20HOLON%20vehicle%20at%20CES%202023\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">the new HOLON mover\u003C\u002Fa>, unveiled last week at CES 2023 in Las Vegas.\u003C\u002Fp>\n\u003Cp>The latest implementation of \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-drive-self-driving-system\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye Drive™\u003C\u002Fa>, the HOLON mover is a shuttle bus designed for urban transportation. It’s all-electric, accessible, and fully autonomous, thanks to technology from Mobileye.\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Meet the HOLON Mover\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>HOLON is a new mobility brand from \u003Ca href=\"https:\u002F\u002Fwww.benteler.com\u002Fen\u002Fpress-media\u002Fnews-and-press-releases\u002Fdetail\u002FBENTELER%20establishes%20HOLON,%20a%20new%20brand%20for%20the%20autonomous%20mobility%20of%20the%20future\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">BENTELER\u003C\u002Fa>, a leading manufacturer and supplier of metal components to the automobile industry. The new company’s first product, the HOLON mover is an autonomous shuttle bus for use in a variety of urban transportation applications – including ride pooling, ride hailing, and scheduled service.\u003C\u002Fp>\n\u003Cp>The HOLON mover has room for up to 15 passengers on board. To optimize inclusivity, it features electric double-wing doors, photo-electric sensors, an accessibility ramp, automatic securing of wheelchairs, information presented in braille, and an audiovisual guide. It can travel autonomously around town at up to 60 km\u002Fh (37 mph), with an all-electric range estimated at 290 kilometers (180 miles) between charges.\u003C\u002Fp>\n\u003Cp>To make all that happen, HOLON brought together an impressive array of partners. BENTELER’s extensive experience in automotive component manufacturing means the vehicle will be built to automotive standards of safety and quality. The renowned Italian design house Pininfarina penned its stylish form. Cognizant Mobility furnishes the software. And Mobileye provides the autonomous driving system.\u003C\u002Fp>\n\u003Cp>[**]gallery:holon-mover[**]\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>Driven by Mobileye™\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>The HOLON mover is the latest in a string of implementations for Mobileye Drive – our comprehensive \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">self-driving solution\u003C\u002Fa> for commercial vehicles. Mobileye Drive incorporates multiple types of sensors, with its camera subsystem operating independently of its radar\u002Flidar subsystem to deliver \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">True Redundancy™\u003C\u002Fa>. It also utilizes Mobileye Roadbook™, our AV map generated and continually updated by our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Road Experience Management™ (REM™)\u003C\u002Fa> crowdsourced mapping technology. It operates under our lean driving policy based on RSS™: the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Responsibility-Sensitive Safety™\u003C\u002Fa> model. And the whole system runs on our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">EyeQ™ System-on-Chip\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>“The market needs vehicles that seamlessly work in any traffic environment – and that is exactly what HOLON and Mobileye plan to deliver,” Johann Jungwirth, Mobileye’s Senior Vice President of Autonomous Vehicles, said at CES. “I am confident that the HOLON mover will be a huge success. There are communities around the world that are searching for a mobility solution just like it.”\u003C\u002Fp>\n\u003Cp>The HOLON mover joins a list of applications for Mobileye Drive previously unveiled, including \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fself-driving-robotaxi-sixt-germany-iaa\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">our own Robotaxi\u003C\u002Fa>, the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fudelv-transporter-autonomous-delivery-vehicles-powered-by-mobileye\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Udelv Transporter\u003C\u002Fa>, the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-transdev-lohr-maas-i-cristal-shuttles-robotaxis\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Lohr i-Cristal\u003C\u002Fa>, and a self-driving shuttle platform from \u003Ca href=\"https:\u002F\u002Fwww.schaeffler.com\u002Fen\u002Fmedia\u002Fpress-releases\u002Fpress-releases-detail.jsp?id=87723393\" target=\"_blank\" rel=\"noopener noreferrer\">Schaeffler\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>[**]gallery:holon-mover-at-ces-2023[**]\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>When will these self-driving vehicles be available? \u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>HOLON aims to begin producing the mover in the United States towards the end of 2025, and plans to expand production to sites in Europe and Asia in the following years. And it already has partnerships in place for \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fdrive\u002F\" target=\"_blank\" rel=\"noopener\">self-driving Mobility-as-a-Service\u003C\u002Fa> with Beep in the U.S. and with Hamburger Hochbahn in Germany.\u003C\u002Fp>\n\u003Cp>We look forward to seeing the HOLON mover hit the road in the near future to reach another milestone in our drive \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fautonomous-vehicle-technology-everywhere-in-every-way-for-everyone\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">to bring the benefits of autonomous mobility to everyone, everywhere, in every way\u003C\u002Fa>.\u003C\u002Fp>","2023-01-12T08:00:00.000Z",[65,78,141,122],{"id":1293,"type":14,"url":1294,"title":1295,"description":1296,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1296,"image":1297,"img_alt":1298,"content":1299,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":1300,"tags":1301},225,"now-next-beyond-prof-amnon-shashua-at-ces-2023","Now, Next, Beyond: Prof. Amnon Shashua at CES 2023","At CES this year, Prof. Amnon Shashua, President and CEO of Mobileye, presented our roadmap and progress towards fully autonomous vehicles.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F5a27679c9f345c771979c316d73ec7d5_1692801152226.png","Mobileye: Now, Next, Beyond - CES 2023 Press Conference with Prof. Amnon Shashua","\u003Cp>The address delivered each year at CES by our CEO stands among the most eagerly anticipated events in automotive tech, and this year more viewers signed up and tuned in than ever before. Professor Amnon Shashua presented a new driving automation taxonomy, using three axes to characterize degrees of autonomous capability: eyes on or eyes off, hands on or hands off, driver or no driver. He gave insight into our most advanced technologies and solutions, outlined our business strategy, discussed the path of validating an eyes-off system, and much more.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe title=\"YouTube video player\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUCBlR4QFQCA\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>","2023-01-06T08:00:00.000Z",[50,122],{"id":1303,"type":142,"url":1304,"title":1305,"description":1306,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1306,"image":1307,"img_alt":1308,"content":1309,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1310,"tags":1311},193,"mobileye-growth-pipeline-fueled-with-supervision-and-future-av-wins","SuperVision and Future AV Wins Fuel Growth","Mobileye booked a record stream of design wins for our ADAS technologies in 2022 which are expected to yield a $17 billion revenue pipeline through 2030.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F697750f14adf441a4f4844d92237a124_1672880637316.jpg","The Zeekr 001 electric vehicle. Owners in China will soon get the latest over-the-air update of Mobileye’s SuperVision tech. ","\u003Cp>LAS VEGAS, January 5, 2023 — Today at CES 2023, Mobileye founder and CEO Prof. Amnon Shashua will illustrate the company’s global leadership in autonomous vehicle and advanced driver-assistance technology, providing new details on the company’s business for 2023 and beyond. In particular, Shashua will lay out how future consumer AVs will come to market at scale by harnessing Mobileye’s state-of-the-art driver assist system, Mobileye SuperVision™, as the baseline for higher levels of autonomy.   \u003C\u002Fp>\u003Cp>Mobileye now sees a revenue pipeline\u003Cspan style=\"color: rgb(64, 64, 64);\">[1]\u003C\u002Fspan> of ADAS business through 2030 of greater than $17 billion – including $3.5 billion of projected revenue from SuperVision alone, a product that was only launched in the fourth quarter of 2021. Thanks to other new products like EyeQ6™ system-on-chip, the pipeline grew impressively over the course of 2022 as Mobileye added $6.7 billion projected revenue in ADAS, across projected future volume of 63.6 million systems.\u003C\u002Fp>\u003Cp>In addition to ADAS, Mobileye announced an additional $3.5 billion in expected revenue from Autonomous Mobility-as-a-Service products through 2028, based on deals with three major partners, including a recently secured mobility-as-a-service AV program with a leading EU commercial vehicle builder. Mobileye also has a line of sight for $1.5 billion in revenue from a single consumer AV (Mobileye Chauffeur™) program through 2030.\u003C\u002Fp>\u003Cp>“In the short time since we went public in October, Mobileye’s business has accelerated substantially,” said Shashua. “We’ve seen strong positive response from our existing customers and new automakers as well who believe in our vision for building cloud-connected, AI-driven driver assist and autonomous technology that can scale globally and provide meaningful benefits to millions of drivers worldwide.”\u003C\u002Fp>\u003Ch2>\u003Cstrong>SuperVision leads the market\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>Mobileye’s SuperVision “eyes-on, hands-off” system is seeing strong customer demand in China, where more than 70,000 Zeekr 001 EV owners will soon get an additional over-the-air update that unlocks key mapping-based features. SuperVision will also be included in the upcoming Zeekr 009, along with near-term global launches on models from three other brands under the Geely Group umbrella.\u003C\u002Fp>\u003Cp>By combining a camera-only sensing system with Mobileye’s key mapping and decision-making technology, SuperVision gives automakers an affordable, flexible platform for eyes-on, hands-off driving across a range of operational design domains.\u003C\u002Fp>\u003Cp>The system’s success and speed-to-market in China’s highly competitive automotive landscape has driven new business wins for SuperVision-based systems around the world. Mobileye has kicked off development work with a premium European automaker for programs targeting delivery in 2025, with other customers at advanced stages of development. Overall, Mobileye now expects volume of SuperVision based vehicles to reach about 1.2 million units in 2026.\u003C\u002Fp>\u003Cp>Just as importantly, OEM’s are showing strong desire to leverage investments in SuperVision as a bridge to enable eyes-off autonomous functions – comparable to SAE Level 3 and Level 4 -- across a variety of operational design domains. This can be done by simply adding additional sensing suites and computing power in a modular way to create a high-value, cost-efficient, eyes-off product for consumer-owned vehicles in the medium term.\u003C\u002Fp>\u003Ch2>\u003Cstrong>Continued progress on Mobility-as-a-Service technology and validation\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>Beyond SuperVision and consumer-owned AVs, Mobileye has continued to develop its Mobileye Drive mobility-as-a-service (MaaS) autonomous vehicle technology in 2022. We recently signed an MOU for several thousand units with a major global producer of light commercial vehicles. In 2023, Mobileye will continue testing its AV tech, with pilots of our latest vehicle technology hitting the road in Germany.\u003C\u002Fp>\u003Cp>While sentiment around AVs has swung widely over the past year, Mobileye has remained focused on delivering scalable, modular AV technology. Ensuring public and regulatory trust in autonomous vehicles before they hit the road will require robust, transparent validation. Today, Shashua will detail for the first time Mobileye’s three-layer validation approach to AV technology that leverages our unique assets (such as Road Experience Mapping data and True Redundancy™). This combination of real-world testing, simulation and hardware-in-the-loop validation allows Mobileye to marshal its massive road-test data towards solving AVs at scale.\u003C\u002Fp>\u003Cp>Our MaaS deployment partners also continue to make progress. At CES 2023, our AV collaborator Holon revealed a new autonomous people mover powered by Mobileye Drive, one of many such collaborations we have worldwide with companies exploring different AV business models. \u003C\u002Fp>\u003Cp>By approaching AV tech in the same way we popularized ADAS technology – focusing on solutions that can be built affordably, work globally and built flexibly for different types of vehicles – Mobileye sees a clear and financially sustainable path to developing both consumer-owned and fleet-deployed AVs.\u003C\u002Fp>\u003Ch2>\u003Cstrong>Additional expansion in ADAS\u003C\u002Fstrong>\u003C\u002Fh2>\u003Cp>All of these advancements build from our ongoing innovation in the ADAS market, where we continue to see strong demand and growth. Last year alone, some 233 models launched globally with Mobileye technology inside.\u003C\u002Fp>\u003Cp>Our innovation roadmap for the future includes key new technologies like imaging radar, a sensor that can provide the benefits of lidar at a fraction of the cost. After demonstrating the potential of imaging radar last year, Mobileye has begun collaborating with Wistron NeWeb, an experienced automotive radar supplier, to bring the technology to production two years from now. And our other advanced solutions, from cloud-enhanced services to intelligent speed assist, continue to make strong inroads among key global automakers.\u003C\u002Fp>\u003Cp>As a public company once again, Mobileye’s history as a pioneer in ADAS demonstrates how we’ve changed the world over the past 20 years, and how we will bring innovation to life at a global scale in the years ahead.\u003C\u002Fp>\u003Cp>[1] Mobileye’s revenue for the periods presented represent estimated volumes based on projections of future production volumes that were provided by our current and prospective OEMs at the time of sourcing the design wins for the models related to those design wins. See the disclaimer under the heading “Forward–Looking Statements” below for important limitations applicable to these estimates.\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp> \u003Cstrong>Media Contact: \u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Justin Hyde\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:Justin.Hyde@Mobileye.com\" rel=\"noopener noreferrer\" target=\"_blank\">Justin.Hyde@Mobileye.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp>+1 202-656-6749 \u003C\u002Fp>\u003Cp>___________________________________\u003C\u002Fp>\u003Cp>Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 125 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fp>\u003Cp> “Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye in various jurisdictions. All other marks are the property of their respective owners.\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"font-family: intelone-display-regular, Inter, sans-serif; color: rgb(64, 64, 64);\">Forward-Looking Statements \u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">Statements in this press release and the presentation referenced herein that are not statements of historical fact, including statements about our beliefs and expectations, are forward-looking statements and should be evaluated as such. Forward-looking statements include descriptions of our business plan and strategies. These statements often include words such as “anticipate,” “expect,” “suggests,” “plan,” “believe,” “intend,” “estimates,” “targets,” “projects,” “should,” “could,” “would,” “may,” “will,” “forecast,” or the negative of these terms, and other similar expressions, although not all forward-looking statements contain these words. We base these forward-looking statements or projections on our current expectations, plans and assumptions that we have made in light of our experience in the industry, as well as our perceptions of historical trends, current conditions, expected future developments and other factors we believe are appropriate under the circumstances and at such time. You should understand that these statements are not guarantees of performance or results. The forward-looking statements and projections are subject to and involve risks, uncertainties and assumptions and you should not place undue reliance on these forward-looking statements or projections. Although we believe that these forward-looking statements and projections are based on reasonable assumptions at the time they are made, you should be aware that many factors could cause actual results to differ materially from those expressed in the forward-looking statements and projections. Important factors that may materially affect such forward-looking statements and projections include the following: future business, social and environmental performance, goals and measures; our anticipated growth prospects and trends in markets and industries relevant to our business; business and investment plans; expectations about our ability to maintain or enhance our leadership position in the markets in which we participate; future consumer demand and behavior; future products and technology, and the expected availability and benefits of such products and technology; development of regulatory frameworks for current and future technology; ​projected cost and pricing trends; ​future production capacity and product supply; potential future benefits and competitive advantages associated with our technologies and architecture and the data we have accumulated; the future purchase, use and availability of products, components and services supplied by third parties, including third-party IP and manufacturing services; uncertain events or assumptions, including statements relating to our addressable markets, estimated vehicle production and market opportunity, potential production volumes associated with design wins and other characterizations of future events or circumstances; future responses to and effects of the COVID-19 pandemic; availability, uses, sufficiency and cost of capital and capital resources, including expected returns to stockholders such as dividends, and the expected timing of future dividends; tax- and accounting-related expectations. Detailed information regarding these and other factors that could affect Mobileye’s business and results is included in Mobileye’s SEC filings, including the company’s Registration Statement (No. 333-267685) on Form S-1, particularly in the section entitled the “Risk Factors”. Copies of these filings may be obtained by visiting our Investor Relations website at ir.mobileye.com or the SEC’s website at www.sec.gov. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">The estimates included herein are based on projections of future production volumes that were provided by our current and prospective OEMs at the time of sourcing the design wins for the models related to those design wins. For the purpose of these estimates we estimated sale prices based on our management’s estimates for the applicable product bundles and periods. Achieving design wins is not a guarantee of revenue, and our sales may not correlate with the achievement of additional design wins. Moreover, our pricing estimates are made at the time of a request for quotation by an OEM (in the case of estimates related to contracted customers), so that worsening market or other conditions between the time of a request for quotation and an order for our solutions may require us to sell our solutions for a lower price than we initially expected. These estimates may deviate from actual production volumes and sale prices (which may be higher or lower than the estimates) and the amounts included for prospective but uncontracted production volumes may never be achieved. Accordingly, these estimations are subject to and involve risks, uncertainties and assumptions and you should not place undue reliance on these forward-looking statements or projections. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">Mobileye does not intend to provide any updates to information concerning its actual or anticipated future results of operations, including 2022 results or guidance for fiscal year 2023, in this press release or the presentation referenced herein, and investors should not infer from any statement made in this release or the presentation referenced herein any implications relating to Mobileye’s results of operations or guidance for such periods. The estimates presented are just estimates and are not based on contracted orders. Mobileye’s actual revenue for the periods presented is likely to vary materially from the estimates. \u003C\u002Fspan>\u003C\u002Fp>","2023-01-05T00:00:00.000Z",[135,108,141,65,57,149],{"id":1313,"type":142,"url":1314,"title":1315,"description":1316,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1316,"image":1317,"img_alt":1318,"content":1319,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1320,"tags":1321},190,"mobileye-and-wnc-collaborate-on-imaging-radar-production","Mobileye & WNC collaborate on imaging radar","Mobileye is developing automotive-grade, software-defined, four-dimensional digital imaging radars in-house that are targeted for production in two years.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F989f7126b675ec5849735fffea8dd911_1672779722464.png","Mobileye’s imaging radar supports other key AV vision sensors, and can detect objects, vehicles and pedestrians at distances of up to 1,000 feet. Illustration: Mobileye. ","\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64); background-color: rgb(255, 255, 255);\">LAS VEGAS, January 4, 2023 — Over the past few years, Mobileye has been developing a new technology to help autonomous vehicles sense and understand their environment – regardless of weather, lighting or road types – in addition to the company’s renowned camera-based perception systems. Known as software-defined imaging radar, or 4D radar, the technology will play a key role in bringing autonomous vehicles and the most advanced forms of driver-assistance technology to life. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">Today, Mobileye announced a collaboration with Wistron NeWeb Corp. (WNC) for production of its software-defined imaging radars. WNC, based in Taiwan, works as a major electronics and radar supplier for automakers worldwide. This collaboration is expected to allow Mobileye and WNC to begin producing automotive-grade imaging radars two years from now, with strong initial interest in the technology from key automaker customers. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">“The imaging radars we have been developing over the past few years are uniquely designed to be an essential enabler of high autonomy levels in future vehicles, by delivering rich and reliable radar output, upgrading perception-by-radar capabilities, and reducing the need for multiple lidar sensors,” said Yaniv Avital, Mobileye’s Radar Vice President and General Manager. “WNC’s experience and accomplishments as an automotive supplier can help us bring this much-needed innovation to the market by our original targeted timeline and at the expected quality.”  \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">The imaging radar developed by Mobileye goes far beyond the simple devices on vehicles today. Radars emit radio frequency signals to detect obstacles, and just like cameras, the more data they can process, the more details they can spot. When paired with advanced cameras, radars can provide sensing at longer distances and in certain weather or lighting conditions that can even challenge camera-based imaging. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F39f65e4a35960603c77ed0cb7babb57c_1672783775834.png\" alt=\"A visualization of Mobileye’s imaging radar at left; a comparison of what camera sensors see on top right versus radar data on the bottom right. The different colors in the radar image represent speed.\">Mobileye’s imaging radars use advanced radar architecture including Massive MIMO (multiple-input, multiple-output) antenna design, a high-end radio frequency design developed in-house, and high-fidelity sampling – all enabling accurate object detection and wider dynamic range. Thanks to an integrated system-on-chip design that maximizes processor efficiency, and world-leading algorithms for interpreting radar data, Mobileye’s imaging radars deliver a detailed, four-dimensional image of surroundings up to 1,000 feet away and beyond. With a 140-degree field-of-view at medium range and 170-degree field of view in close range, the radar enables more accurate detection of pedestrians, vehicles or obstructions that other sensors might miss – even on crowded urban streets.  \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">“The new imaging radar technology is a key focus for future high-level autonomous driving,” said Repus Hsiung, Vice President & General Manager of the Automotive & Industrial Solutions BG at WNC. \"We are delighted to collaborate with Mobileye to accelerate the availability of advanced imaging radars in the market. Leveraging our expertise in automotive electronics and radar solutions, we look forward to working with Mobileye to further develop exciting new capabilities.” \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\"> Mobileye’s True Redundancy™ approach to autonomous vehicles envisions using imaging radars to create a 360-degree sensing system that operates in addition to, but independently from, a camera-based system. By having multiple systems that are each capable of navigating a vehicle alone, the “eyes off” autonomous system can deliver reliable rides with low chance of failure and simplified safety validation. Imaging radar can also play a role in more advanced hands-free ADAS solutions as an alternative to LiDAR solutions, which are typically far more expensive.  \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">___________________________________ \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 125 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(5, 99, 193);\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>\u003Cspan style=\"color: rgb(64, 64, 64);\">. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\"> “Mobileye,” the Mobileye logo and Mobileye product names are registered trademarks of Mobileye in various jurisdictions. All other marks are the property of their respective owners. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\"> \u003C\u002Fspan>\u003C\u002Fp>","2023-01-04T00:00:00.000Z",[135,141,65,71],{"id":1323,"type":142,"url":1324,"title":1325,"description":1326,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1326,"image":1327,"img_alt":1328,"content":1329,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1320,"tags":1330},191,"mobileye-kicks-off-av-pilot-in-germany","Mobileye Kicks Off AV Pilot in Germany","In a key step, Mobileye has successfully completed the AV-Permit process outlined by TÜV SÜD to operate NIO ES8 vehicles with AV technology on German streets.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F1da7649597f1a18fe101abbb7eeb4f87_1673551896394.jpg","NIO ES8 equipped with cameras, radar and lidar sensors, of the type to be used in an autonomous vehicle test in Germany.","\u003Cp>With the start of the year 2023, Mobileye has taken a key step on the road to the autonomous future of mobility: Mobileye obtained a permit recommendation from TÜV SÜD, an independent third-party for testing, certification, auditing and advisory service in Germany, enabling Mobileye to operate its AV technology on German streets. The permit makes way for Mobileye to expand the pilot phase in Germany and operate \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fself-driving-robotaxi-sixt-germany-iaa\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Mobileye Drive™-equipped NIO ES8s\u003C\u002Fa> with a responsible safety driver on all roads in Germany.\u003C\u002Fp>\u003Ch3>\u003Cstrong>Kick-Off for Mobility-as-a-Service (MaaS) Projects in Munich and Darmstadt\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>With the official recommendation, Mobileye is taking the next step in realizing new mobility concepts in Germany and beyond. \u003Ca href=\"https:\u002F\u002Fwww.nio.com\u002Fnews\u002Fnio-inc-announces-strategic-collaboration-mobileye-bring-level-4-autonomous-driving-vehicles\" rel=\"noopener noreferrer\" target=\"_blank\">NIO’s ES8\u003C\u002Fa> was chosen by Mobileye in 2021 as the vehicle platform for Mobility-as-a-Service (MaaS) offerings underway with various partners in Munich and Darmstadt, as well as in other projects around Europe. NIO ES8s equipped with Mobileye’s self-driving hardware and software are planned to be used in a robotaxi service as well as in the integration of on-demand shuttles into local public transport in Germany. Following the regulations adopted by European Union and German authorities for safe autonomous driving (AV) testing and deployment in 2022, the pilot stage for these services on German roads will accelerate throughout 2023. A safety driver will be behind the wheel until all needed approvals and permits are obtained for the vehicle to be entirely unmanned.\u003C\u002Fp>\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F8c9ad648354eb06543761a4ea6d73f83_1673551976724.jpg\" alt=\"Mobileye will test its autonomous vehicles on German roadways, like this Autobahn through Munich, where TÜV SÜD is based.\">\u003C\u002Fp>\u003Cp>“We are excited to have taken the next steps in bringing our self-driving technology onto German streets,” says \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Johann Jungwirth\u003C\u002Fa>, Senior Vice President, Autonomous Vehicles at Mobileye. “We are thankful for TÜV Süd’s trusted support in expanding our autonomous vehicle technology testing in Germany. This allows us to show our capabilities to consumers, automakers and transportation agencies.”\u003C\u002Fp>\u003Ch3>\u003Cstrong>Mobileye Technology Onboard\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>The NIO ES8 is retrofitted with a broad range of sensors and Mobileye’s own autonomous self-driving system Mobileye Drive™ for a defined operational design domain (“ODD”)\u003Cspan style=\"color: rgb(64, 64, 64);\">. A set of 13 cameras, plus an independent secondary perception system consisting of six surround radars and three long-range and six short-range surround lidars gives the self-driving vehicle redundant sensing capabilities (we call this approach \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(64, 64, 64);\">True Redundancy™\u003C\u002Fa>\u003Cspan style=\"color: rgb(64, 64, 64);\">). The \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(64, 64, 64);\">EyeQ™ System-on-Chip \u003C\u002Fa>\u003Cspan style=\"color: rgb(64, 64, 64);\">(SoC) provides the necessary computing power to not only process the real-world data but also to make use of Mobileye’s \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(64, 64, 64);\">Road Experience Management™ (REM™)\u003C\u002Fa>\u003Cspan style=\"color: rgb(64, 64, 64);\"> – AV maps – and lean driving policy with the mathematical model for automated driving we call \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(64, 64, 64);\">Responsibility-Sensitive Safety™ (RSS™)\u003C\u002Fa>\u003Cspan style=\"color: rgb(64, 64, 64);\">. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(64, 64, 64);\">This system allows for scalability and different MaaS services like autonomous robotaxis, public-transit shuttles or last-mile goods delivery for defined ODD.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fbcd5346c56d70331fe329e7beb6e2f0a_1673551997991.jpg\" alt=\"A fleet of NIO ES8 robotaxis powered by Mobileye Drive™ outside our headquarters in Jerusalem, Israel.\">\u003C\u002Fp>\u003Ch3>\u003Cstrong>Ensuring AV Standards with TÜV SÜD\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>\u003Cspan style=\"color: black; background-color: white;\">As in 2020, when Mobileye was one of the first companies outside of automakers to receive a permit to \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-testing-self-driving-vehicles-germany\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(81, 94, 255); background-color: rgb(255, 255, 255);\">test autonomous vehicles (AVs) on open roads in Germany\u003C\u002Fa>\u003Cspan style=\"color: black; background-color: white;\">, TÜV SÜD and Mobileye have worked closely together with the regulatory authorities to ensure safe operation of the self-driving vehicle powered by Mobileye Drive.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>Mobileye provided comprehensive technical documentation as well as undergoing various safety tests with the robotaxi in the past months to obtain the TÜV SÜD approval recommendation for operating self-driving vehicles on public roads in Germany.. TÜV SÜD has developed a rigorous assessment framework and test procedure in recent years that works as a blueprint for providers of AV technologies while building consumer trust in the reliability and safety of the technology.\u003C\u002Fp>",[65,78,71,141],{"id":1332,"type":136,"url":1333,"title":1334,"description":1335,"primary_tag":134,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1335,"image":1336,"img_alt":1337,"content":1338,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1339,"tags":1340},192,"mobileye-at-ces-2023","Mobileye at CES 2023 Complete Press Kit","All the information you're looking for about Mobileye at CES 2023 can be found here in our online press kit, including Prof. Amnon Shashua's press conference.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fdcbdebad96fd1149f00e9a93eee90eb9_1672863216143.jpg","Mobileye at CES 2023 ","\u003Cp>\u003Cspan style=\"color: #000000;\">At CES 2023, Mobileye showcased innovation and progress on the road to autonomy. Through a series of events and presentations, including the Mobileye: Now, Next, Beyond Press Conference with Professor Amnon Shashua; demonstrations at the Mobileye booth; and exciting partner initiatives; Mobileye brought to CES 2023 an insider’s view into the autonomous vehicle revolution it is driving.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye: Now, Next, Beyond - CES 2023 Press Conference with CEO Prof. Amnon Shashua (Replay)\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FUCBlR4QFQCA\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Ch2>\u003Cstrong>Mobileye CES 2023 news:\u003C\u002Fstrong>\u003C\u002Fh2>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-growth-pipeline-fueled-with-supervision-and-future-av-wins\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye Growth Pipeline Fueled with SuperVision™ and Future AV Wins\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #000000;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-and-wnc-collaborate-on-imaging-radar-production\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye and WNC collaborate on imaging radar production\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #000000;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-kicks-off-av-pilot-in-germany\u002F\" target=\"_blank\" rel=\"noopener\">Mobileye kicks off AV pilot in Germany | Mobileye Blog\u003C\u002Fa>\u003Cspan style=\"color: #000000;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #000000;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-announces-ces-press-conference-with-prof-amnon-shashua\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye Announces CES 2023 Press Conference with Prof. Amnon Shashua\u003C\u002Fa>\u003C\u002Fp>\n\u003Ch3>\u003Cstrong style=\"color: #000000;\">Mobileye \u003C\u002Fstrong>\u003Cstrong style=\"color: #404040; background-color: white;\">SuperVision™:\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Ca style=\"background-color: #ffffff; color: #242424;\" href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcommon\u002Ffiles\u002FSuperVision%20one%20pager.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">SuperVision Backgrounder\u003C\u002Fa> \u003Cspan style=\"color: #242424; background-color: #ffffff;\">(download)\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye-supervision[**]\u003C\u002Fp>\n\u003Ch3>\u003Cstrong>CES 2023 Photos:\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>[**]gallery:ces-2023[**]\u003C\u002Fp>\n\u003Ch3>\u003Cstrong style=\"color: #000000;\">Mobileye Visual Assets:\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>[**]gallery:mobileye-at-ces-2023[**]\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F763958794\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye: Autonomous Driving and Technology Development \u003C\u002Fa>(Broll)\u003C\u002Fp>","2023-01-03T08:00:00.000Z",[122,50,135],{"id":1342,"type":142,"url":1343,"title":1344,"description":1345,"primary_tag":64,"author_name":18,"is_hidden":47,"lang":173,"meta_description":1345,"image":1346,"img_alt":1347,"content":1348,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1349,"tags":1350},188,"mobileye-announces-ces-press-conference-with-prof-amnon-shashua","Mobileye Announces CES 2023 Press Conference with Prof. Amnon Shashua  ","Mobileye: Now, Next, Beyond to be presented live from Las Vegas on January 5 at 11 a.m. PST ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F07bae5284d54540c19d53a26fece6615_1671703079240.png","Mobileye: Now, Next, Beyond -  CES 2023 Press Conference with Prof. Amnon Shashua","\u003Cp>\u003Cstrong style=\"color: #080606;\">JERUSALEM, December 21, 2022:\u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> Mobileye (Nasdaq: MBLY) will present Mobileye: Now, Next, Beyond; its CES 2023 Press Conference with CEO Professor Amnon Shashua on January 5, 2023 at 11 a.m. PST. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #080606;\">Prof. Shashua will provide an update on the state of Mobileye’s market leadership and how Mobileye will bring its near- and long-term vision to life. The presentation will illustrate the industry’s most advanced ADAS-to-AV technology, detailing the spectrum of solutions Mobileye is pioneering to redefine the driving experience now and in the future. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #080606;\">CES visitors are invited to learn more about how Mobileye is driving the autonomous vehicle evolution by visiting Mobileye in the Las Vegas Convention Center (LVCC) West Hall booth #4601, Thursday, Jan. 5 through Sunday, Jan. 8, 2023, during show hours. \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #080606;\">Mobileye: Now, Next, Beyond\u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #080606;\">Press Conference with Professor Amnon Shashua \u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #080606;\">When:\u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> Thursday, January 5, 11 a.m. PST (2 p.m. EST | 7 p.m. GMT | 9 p.m. IST) \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #080606;\">Where:\u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> LVCC West Hall | Room W327  \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #080606;\">How:\u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> Register today to reserve your seat: \u003C\u002Fspan>\u003Ca style=\"color: #0563c1;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2024\u002F\">\u003Cu>https:\u002F\u002Fwww.mobileye.com\u002Fces-2023\u003C\u002Fu>\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2023\u002F\" rel=\"noopener noreferrer\">\u003Cu>\u002F\u003C\u002Fu>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #080606;\">Livestream:\u003C\u002Fstrong>\u003Cspan style=\"color: #080606;\"> Watch live at: \u003C\u002Fspan>\u003Ca style=\"color: #0563c1;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2024\u002F\">\u003Cu>https:\u002F\u002Fwww.mobileye.com\u002Fces-2023\u003C\u002Fu>\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fces-2023\u002F\" rel=\"noopener noreferrer\">\u003Cu>\u002F\u003C\u002Fu>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #080606;\">Add the livestream to your calendar by registering in advance.  \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #080606;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"color: #101820;\">Contacts\u003C\u002Fstrong>\u003Cspan style=\"color: #101820;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #101820;\">Dan Galves \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #101820;\">Investor Relations \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #0563c1;\" href=\"mailto:investors@mobileye.com\" target=\"_blank\" rel=\"noopener noreferrer\">investors@mobileye.com\u003C\u002Fa> \u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #101820;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #101820;\">Justin Hyde \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #101820;\">Media Relations \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #0563c1;\" href=\"mailto:justin.hyde@mobileye.com\" target=\"_blank\" rel=\"noopener noreferrer\">justin.hyde@mobileye.com\u003C\u002Fa>\u003Cspan style=\"color: #101820;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #080606;\"> \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #404040;\">___________________________________ \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #404040;\">Mobileye (Nasdaq: MBLY) leads the mobility revolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 125 million vehicles worldwide have been built with Mobileye technology inside. In 2022 Mobileye listed as an independent company separate from Intel (Nasdaq: INTC), which retains majority ownership. For more information, visit \u003C\u002Fspan>\u003Ca style=\"color: #0563c1;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>\u003Cspan style=\"color: #404040;\">. \u003C\u002Fspan>\u003C\u002Fp>","2022-12-21T08:00:00.000Z",[149,57,65,141,135,122],{"id":1352,"type":142,"url":1353,"title":1354,"description":1355,"primary_tag":148,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1355,"image":1356,"img_alt":1357,"content":1358,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1359,"tags":1360},186,"mobileye-shares-its-third-quarter-financial-update-and-fourth-quarter--forecast","Q3 2022 Financial Results & Q4 Forecast","Today, Mobileye shared the following update on its third-quarter 2022  financial results and provided a forecast for the upcoming fourth quarter of 2022.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe55949fed0f97df477631ca0c50344dc_1670360841678.jpg","Mobileye's fully autonomous robotaxi, pictured outside our headquarters in Jerusalem.","\u003Cp>Today, Mobileye shared a financial update on its third-quarter 2022 results and provided a forecast for the fourth quarter of 2022. “Our excellent third-quarter performance is an early indication of the success of our strategy,” said Prof. Amnon Shashua, president and CEO of Mobileye Global.\u003C\u002Fp>\u003Cp>Read the entire update \u003Ca href=\"https:\u002F\u002Fir.mobileye.com\u002Fnews-releases\u002Fnews-release-details\u002Fmobileye-discloses-third-quarter-2022-results-and-business\" rel=\"noopener noreferrer\" target=\"_blank\">here\u003C\u002Fa>.\u003C\u002Fp>","2022-12-07T00:00:00.000Z",[141,149],{"id":1362,"type":142,"url":1363,"title":1364,"description":1365,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1365,"image":1366,"img_alt":1367,"content":1368,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1369,"tags":1370},184,"goggo-network-and-mobileye-plan-to-collaborate-to-introduce-level-autonomous-vehicles-for-logistics-in-europe","Goggo Network & Mobileye collaborate on autonomous logistics vehicles","Goggo Network to incorporate up to 40 autonomous vehicles with the Level 4 self-driving system Mobileye Drive™ for the delivery of goods in Spain and France.\n","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7159351a49067075480f91fa4ddc9f9d_1670427843381.png","Goggo Network and Mobileye team up for autonomous logistics.","\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(34, 34, 34);\">Goggo Network, \u003C\u002Fspan>the autonomous mobility company founded by Martin Varsavsky and Yasmine Fage and with operations in Spain and France, has signed a Memorandum of Understanding (MoU) with Mobileye, a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving, as part of its strategy to drive the future of autonomous mobility and logistics in Spain and Europe. With this agreement, Goggo plans to introduce Level 4 autonomous vehicles in Spain for the first time.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Specifically, up to 40 autonomous vehicles with SAE Level 4 features, equipped with the Mobileye Drive technology, are expected to be deployed and operated by Goggo in cities around Spain and France.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">This system matches Goggo’s plans to roll out logistics services across Europe in a next step, as Mobileye Drive is capable of adapting to various driving environments and driver behavior.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Importantly, both Goggo Network and Mobileye agree that a transformation to a smarter, safer and more environmentally efficient driverless future is needed. For this reason, both companies have decided to join forces to achieve the autonomous delivery of goods using pioneering technology from Mobileye.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Mobileye Drive is a part of Mobileye’s full stack of self-driving Mobility-as-a-Service (MaaS) solutions. Powered by the EyeQ® system-on-a-chip and fed by multiple input sensors like camera, radar and lidar, the self-driving system can be implemented in various use cases like robotaxis, consumer passenger vehicles or commercial delivery vehicles.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">For the implementation of the deployment, Goggo will assess the coverage of the road network and provide backend interfaces (APIs) for mission control and fleet management. In turn, Goggo will be responsible for obtaining all necessary permits and licences to test and operate the service in the relevant municipalities.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Goggo plans to start operating with safety drivers to oversee the entire service in 2023, and once the respective safety validations have been completed and regulatory clearance obtained, to eliminate the driver altogether to make the service autonomous Level 4.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\"At Goggo Network we are looking to collaborate with leading companies in their sector, such as Mobileye, which will allow us to add value to the autonomous logistics sector. With this agreement, we will be able to go a step further in our strategy and introduce Level 4 autonomous vehicles for the first time in our country, making the most of a pioneering technology that stands out for its safety”, explains Yasmine Fage, co-founder and COO of Goggo Network.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Johann Jungwirth, Senior Vice President, Autonomous Vehicles of Mobileye, adds: “The collaboration with Goggo Network shows how our vision of delivering self-driving systems for various use cases will come to life. Reshaping mobility for the cities of the future will bring great benefits for everybody, and Goggo’s logistics solutions help bring us closer to this reality.”\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong>About Goggo Network\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Founded in 2018 by Martin Varsavsky and Yasmine Fage, \u003Ca href=\"https:\u002F\u002Fgoggo.network\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: windowtext;\">Goggo Network\u003C\u002Fa> operates fleets of autonomous vehicles and robots for last mile transport, with a vision to provide autonomous, electric and shared mobility solutions by creating Autonomous Mobility Networks (AMN). Currently based in Madrid, Berlin and Paris, Goggo Network operates in Spain, France and Germany.\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">Mobileye (Nasdaq: MBLY) is driving the autonomous vehicle evolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 125 million vehicles worldwide have Mobileye technology inside. In 2022, Mobileye was listed as an independent company, separate from Intel (Nasdaq: INTC) which retains majority ownership of Mobileye.\u003C\u002Fp>","2022-11-28T00:00:00.000Z",[65,141,78],{"id":1372,"type":142,"url":1373,"title":1374,"description":1375,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1375,"image":1376,"img_alt":1377,"content":1378,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1379,"tags":1380},182,"valeo-has-produced-its-millionth-front-camera-system-integrating-mobileye-eyeq-technology-at-its-wemding-site-in-germany","Valeo 10 millionth EyeQ front camera system","Valeo and Mobileye celebrate the production of Valeo’s 10 millionth front camera system containing Mobileye technology, at Valeo's site in Wemding, Germany.\n","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F104d1a8413a6c8f2cce2bb36f0887278_1668610120296.jpg","Valeo and Mobileye marked the production of their 10 millionth ADAS camera unit at Valeo's factory in Germany. (Credit: Valeo)","\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124); background-color: white;\">Valeo, world leader in advanced driving assistance systems (ADAS), started its collaboration with Mobileye in 2015, choosing to integrate into its front camera system the Mobileye system-on-chip (SOC), named “EyeQ®”. Mobileye, with partners like Valeo, revolutionized driver assist systems by taking computer vision technology to a next level in the automotive industry. Together, Valeo and Mobileye have combined their best-in-class technology and have developed and manufactured multiple generations of front camera systems. The strong collaboration between Valeo and Mobileye is now focused on the integration of the latest generation of the Mobileye SoC into the Valeo front camera system and into Valeo’s cutting edge centralized computer. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124); background-color: white;\">At the heart of ADAS, the Valeo front camera using the Mobileye SoC is making roads safer by supporting key features such as\u003C\u002Fspan>\u003Cspan style=\"color: rgb(78, 107, 124);\"> autonomous emergency braking, adaptive cruise control and lane keeping assist. The front camera system itself has become the key enabler in reaching the safety requirements defined by the authorities and is set to equip 100% of new cars. To date, since starting this activity, Valeo has produced nearly 13 million front cameras.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124); background-color: white;\">Marc Vrecko, President of Valeo’s Comfort and Driving Assistance Systems Business Group said: \u003C\u002Fspan>\u003Cem style=\"color: rgb(78, 107, 124); background-color: white;\">“We are very pleased to announce that we have reached this milestone, which clearly shows that Valeo is accelerating in ADAS, as set out in our Move Up strategic plan\u003C\u002Fem>\u003Cem style=\"color: rgb(78, 107, 124);\">. In 2023, Valeo will produce an additional 9 million front cameras worldwide. By 2030, almost 90% o\u003C\u002Fem>\u003Cem style=\"color: rgb(78, 107, 124); background-color: white;\">f new vehicles will be equipped with this technology, and the ADAS content per vehicle will double. “\u003C\u002Fem>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\"> \u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cem style=\"color: rgb(78, 107, 124);\">“Thanks to collaborations with strong partners like Valeo, we have been able to deliver our computer vision technology into more than 125 million vehicles worldwide, helping reduce vehicle crashes and injuries globally”,\u003C\u002Fem>\u003Cspan style=\"color: rgb(78, 107, 124);\"> said Nimrod Nehushtan, Senior Vice President of Strategy and Development at Mobileye. \u003C\u002Fspan>\u003Cem style=\"color: rgb(78, 107, 124);\">“Together, we see great opportunities in the next few years to expand the capabilities of these technologies, providing automakers and end customers with affordable and reliable safety and convenience features.\u003C\u002Fem>\u003Cspan style=\"color: rgb(78, 107, 124);\">” \u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124); background-color: white;\">Today, more than 90% of road accidents are caused by human error. ADAS are at the heart of the transformation of mobility, driven by enhancements in safety and comfort. The ADAS market is expected to grow by 17% per year to reach 60 billion euros in 2030. Valeo has the market’s most comprehensive portfolio of sensors (ultrasonic sensors, cameras, radars and LiDARs), software and associated intelligence.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"color: rgb(78, 107, 124);\">About Valeo:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124);\">As a technology company and partner to all automakers and new mobility players, Valeo is innovating to make mobility cleaner, safer and smarter. Valeo enjoys technological and industrial leadership in electrification, driving assistance systems, reinvention of the interior experience and lighting. These four areas are vital to the transformation of mobility and will drive the Group’s growth in the coming years. Valeo is listed on the Paris Stock Exchange. Valeo in figures: In 2021, the Group generated sales of 17.3 billion euros and invested 12% of sales in R&D. At December 31, 2021, Valeo had 184 plants, 21 research centers, 43 development centers and 16 distribution platforms, and employed 103,300 people in 31 countries worldwide.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: rgb(78, 107, 124);\"> \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"color: rgb(78, 107, 124);\">About Mobileye:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124);\">Mobileye (Nasdaq: MBLY) is driving the autonomous vehicle evolution with its autonomous driving and driver-assistance technologies, harnessing world-renowned expertise in computer vision, artificial intelligence, mapping, and data analysis. Since its founding in 1999, Mobileye has pioneered such groundbreaking technologies as REM™ crowdsourced mapping, True Redundancy™ sensing, and Responsibility Sensitive Safety (RSS). These technologies are driving the ADAS and AV fields towards the future of mobility – enabling self-driving vehicles and mobility solutions, powering industry-leading advanced driver-assistance systems and delivering valuable intelligence to optimize mobility infrastructure. To date, more than 125 million vehicles worldwide have Mobileye technology inside. In 2022, Mobileye was listed as an independent company, separate from Intel (Nasdaq: INTC) which retains majority ownership of Mobileye. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cspan style=\"color: rgb(78, 107, 124);\">For more information, visit \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: blue;\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>\u003Cspan style=\"color: rgb(78, 107, 124);\">.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp class=\"ql-align-justify\">\u003Cbr>\u003C\u002Fp>","2022-11-16T00:00:00.000Z",[141,57],{"id":1382,"type":142,"url":1383,"title":1384,"description":1385,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1385,"image":1386,"img_alt":1387,"content":1388,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1389,"tags":1390},181,"zeekr-mobileye-supervision","ZEEKR 009 is Next for Mobileye SuperVision™","Luxury MPV follows up on the success of the ZEEKR 001, showcasing the differentiated capabilities of Mobileye’s most advanced driver-assistance system.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fe70e1e00dfd22e86b4ee1e6e19c95db3_1668422306215.jpg","The new ZEEKR 009 is packed with technology, including Mobileye SuperVision™. (Credit: ZEEKR)","\u003Cp>There’s no such thing as a one-size-fits-all solution. (If there were, we might all be driving the same car.) But one solution can take many forms to suit different needs and tastes. Case in point: \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye SuperVision™\u003C\u002Fa> and its latest application in the ZEEKR 009.\u003C\u002Fp>\n\u003Cp>The second model from Geely’s premium electric mobility technology brand (following the ZEEKR 001), the new 009 takes the form of an upscale, all-electric multi-purpose vehicle (MPV). It has ample room for six in its high-tech, luxurious cabin. Its dual electric motors and surprisingly low drag coefficient of 0.27 help the ZEEKR 009 accelerate from 0 to 100 km\u002Fh (62 mph) of 4.5 seconds. And its available 140-kWh battery pack delivers a claimed 822 kilometers (511 miles) of driving range between charges.\u003C\u002Fp>\n\u003Cp>It \u003Cspan style=\"color: black;\">utilizes a large, single-piece die-cast aluminum rear body, which increases torsional stiffness and limits deformation in the event of an impact. \u003C\u002Fspan>And, with Mobileye SuperVision, it offers \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-test-demo-road-trip\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">cutting-edge driver-assistance technology\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb4b52df47f45bb60f4a254b0e559542c_1668422457134.jpg\" alt=\"The ZEEKR 009 features Mobileye SuperVision™ to power its highly advanced assisted driving capabilities.\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Cutting-Edge Highway Assist\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Like the \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FR8qTOPpQ2-I\" target=\"_blank\" rel=\"noopener noreferrer\">ZEEKR 001\u003C\u002Fa>, the new 009 incorporates our most capable and advanced driver-assistance system, derived directly from our autonomous-vehicle development program.\u003C\u002Fp>\n\u003Cp>Mobileye SuperVision includes such features as autonomous lane changing, adaptive cruise control, comprehensive surround emergency assist, advanced traffic sign and light recognition, front and rear collision avoidance, and evasive maneuver assist. This highly advanced feature set is supported in the ZEEKR 009 by a high-resolution surround-view camera array, two of our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">EyeQ™\u003C\u002Fa>5 High chips, and our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">RSS\u003C\u002Fa>-based driving policy.\u003C\u002Fp>\n\u003Cp>With over-the-air software updates, the already advanced capabilities of Mobileye SuperVision can be further upgraded as development progresses. In fact, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-zeekr-ota-update\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye and ZEEKR recently rolled out just such an update\u003C\u002Fa> to over 50,000 ZEEKR 001s already in the hands of customers.\u003C\u002Fp>\n\u003Cp>Reinforcing the value of our technology, ZEEKR is highlighting its SuperVision-based Navigate-on-Pilot point-to-point assisted-driving system in the ZEEKR 009 with a special pre-order promotion.\u003C\u002Fp>\n\u003Cp>[**]gallery:zeekr-009[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Expanding Vision\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>ZEEKR aims to commence delivery of the new 009 in China starting in January 2023. Once it does, the ZEEKR 009 will become both the second model in the premium brand’s lineup, and the second vehicle to bring Mobileye SuperVision to market. But we’re only beginning to tap the potential of this highly advanced solution. \u003C\u002Fp>\n\u003Cp>Less than two months ago, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fgeely-holding-group-expands-mobileye-collaboration\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye and Geely announced an expanded collaboration\u003C\u002Fa> that will see Mobileye SuperVision incorporated into additional models from ZEEKR and into three further brands under the \u003Ca href=\"http:\u002F\u002Fzgh.com\u002Four-business\u002F?lang=en\" target=\"_blank\" rel=\"noopener noreferrer\">Geely Group umbrella\u003C\u002Fa>. And Geely, of course, is just \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Four-new-deal-with-geely-is-a-game-changer-says-shashua\u002F\" target=\"_blank\" rel=\"noopener\">the first major automaker to adopt Mobileye SuperVision\u003C\u002Fa> for its most advanced models.\u003C\u002Fp>","2022-11-14T08:00:00.000Z",[141,57],{"id":1392,"type":142,"url":1393,"title":1394,"description":1395,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1395,"image":1396,"img_alt":1394,"content":1397,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1398,"tags":1399},179,"mobileye-announces-full-exercise-of-underwriters-option-to-purchase-additional-shares","Mobileye Announces Full Exercise of Underwriters’ Option to Purchase Additional Shares","Read about Mobileye's latest announcement: the full exercise of underwriters' option to purchase additional shares. Stay updated on Mobileye's developments.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F6fbfeec60ad73a664446c913cf8704d7_1667311782190.jpg","\u003Cp>\u003Cstrong>Jerusalem, Israel, \u003C\u002Fstrong>November 1, 2022 – Mobileye Global Inc. (“Mobileye”) today announced, in connection with its previously announced initial public offering of 41,000,000 shares of its Class A common stock, the full exercise by the underwriters of their option to purchase 6,150,000 additional shares of Class A common stock at the public offering price of $21.00 per share less underwriting discounts and commissions. The issuance and sale of these additional shares closed today.\u003C\u002Fp>\u003Cp>As previously announced, in addition to the shares of Class A common stock sold in the public offering, General Atlantic purchased 4,761,905 shares of Class A common stock in a private placement at a price per share equal to the initial public offering price, for gross proceeds of $100 million. The sale of these shares will not be registered under the Securities Act of 1933, as amended.\u003C\u002Fp>\u003Cp>The net proceeds to Mobileye, after deducting underwriting discounts and commissions and estimated offering expenses payable by Mobileye from the initial public offering, including the exercise of the underwriters’ option to purchase additional shares, and the previously announced private placement is approximately $1.0 billion. A significant portion of the net proceeds is being used for repayment on a note owed to Mobileye’s parent company, Intel Corporation, and Mobileye intends to use the remaining net proceeds for working capital and general corporate purposes.\u003C\u002Fp>\u003Cp>Goldman Sachs & Co. LLC and Morgan Stanley acted as joint lead book-running managers for the offering. Evercore ISI, Barclays, Citigroup, BofA Securities, RBC Capital Markets, Mizuho, Wolfe | Nomura Alliance and BNP PARIBAS acted as book-running managers for the offering. Cowen, Siebert Williams Shank, PJT Partners, MUFG, Needham & Company, Raymond James, Loop Capital Markets, Blaylock Van, LLC, Academy Securities, Drexel Hamilton, Independence Point Securities LLC, CICC, Cabrera Capital Markets LLC and Guzman & Company acted as co-managers for the offering.\u003C\u002Fp>\u003Cp>A registration statement relating to the shares being sold in this offering was filed with the Securities and Exchange Commission and became effective on October 25, 2022. The offering was made only by means of a prospectus, copies of which may be obtained from: the SEC at www.sec.gov, and from: Goldman Sachs & Co. LLC, Prospectus Department, 200 West Street, New York, NY 10282, telephone: 1-866-471-2526, or by emailing prospectus-ny@ny.email.gs.com; or Morgan Stanley & Co. LLC, Attn: Prospectus Department, 180 Varick Street, Second Floor, New York, NY 10014.\u003C\u002Fp>\u003Cp>This press release shall not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.\u003C\u002Fp>\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Mobileye is a leader in the development and deployment of advanced driver-assistance systems (ADAS) and autonomous driving technologies and solutions. Mobileye pioneered ADAS technology more than 20 years ago and has continuously expanded the scope of its ADAS offerings, while leading the evolution to autonomous driving solutions. Mobileye’s portfolio of solutions is built upon a comprehensive suite of purpose-built software and hardware technologies designed to provide the capabilities to make the future of ADAS and autonomous driving a reality. These technologies can be harnessed to deliver mission-critical capabilities at the edge and in the cloud, advancing the safety of road users, and revolutionizing the driving experience and the movement of people and goods globally.\u003C\u002Fp>\u003Cp>\u003Cstrong>Contacts\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Danielle Mann\u003C\u002Fp>\u003Cp>Intel Media Relations\u003C\u002Fp>\u003Cp>danielle.mann@intel.com\u003C\u002Fp>\u003Cp>John Pitzer\u003C\u002Fp>\u003Cp>Intel Investor Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:John.pitzer@intel.com\" rel=\"noopener noreferrer\" target=\"_blank\">john.pitzer@intel.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp>Dan Galves\u003C\u002Fp>\u003Cp>Mobileye Investor Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:dan.galves2@mobileye.com\" rel=\"noopener noreferrer\" target=\"_blank\">dan.galves2@mobileye.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp>Justin Hyde\u003C\u002Fp>\u003Cp>Corporate Communications and Media Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:justin.hyde@mobileye.com\" rel=\"noopener noreferrer\" target=\"_blank\">justin.hyde@mobileye.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>“Wolfe | Nomura Alliance” is the marketing name used by Wolfe Research Securities and Nomura Securities International, Inc. in connection with certain equity capital markets activities conducted jointly by the firms. Both Nomura Securities International, Inc. and WR Securities, LLC are serving as underwriters in the offering described herein. In addition, WR Securities, LLC and certain of its affiliates may provide sales support services, investor feedback, investor education, and\u002For other independent equity research services in connection with this offering.\u003C\u002Fp>","2022-11-01T07:00:00.000Z",[141,149],{"id":1401,"type":136,"url":1402,"title":1403,"description":1404,"primary_tag":134,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1404,"image":1405,"img_alt":1406,"content":1407,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1408,"tags":1409},174,"mobileye-is-once-again-a-public-company","Mobileye Is Once Again a Public Company","Following our successful IPO launched by Intel Corporation, Mobileye is now publicly listed on the Nasdaq stock exchange under the ticker symbol MBLY.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff51fc37ccb00d9b8c66ecd11c7e0746b_1666800723757.jpg","Mobileye team rings the Nasdaq opening bell celebrating the company’s return to the U.S. public markets, trading under the ticker “MBLY.” Credit: Photography courtesy of Nasdaq, Inc.","\u003Cp>Mobileye today began trading on the Nasdaq Stock Exchange under the ticker “MBLY” in connection with its Initial Public Offering by parent company, Intel. Building on Mobileye’s track record of innovation and success as an Intel company, the IPO unlocks the value of Mobileye for shareholders. Today marks a return to the public markets for Mobileye since it was acquired by Intel in 2017. Intel and Mobileye commemorated the milestone from Nasdaq in Times Square and virtually from Mobileye’s Jerusalem headquarters and across its offices around the world. \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>Mobileye logo\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye's-logo[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #000000;\">IPO Photo Gallery\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:ipo-press-kit[**]\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fto-our-customers-a-letter-from-our-ceo\u002F\" target=\"_blank\" rel=\"noopener\">Customer letter\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F763958794\" target=\"_blank\" rel=\"noopener noreferrer\">IPO B-roll\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F764201125\" target=\"_blank\" rel=\"noopener noreferrer\">Bell-Ringing Ceremony\u003C\u002Fa>\u003C\u002Fp>","2022-10-26T07:00:00.000Z",[135,122],{"id":1411,"type":136,"url":1412,"title":1413,"description":1414,"primary_tag":134,"author_name":177,"is_hidden":47,"lang":1415,"meta_description":1414,"image":1416,"img_alt":1417,"content":1418,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1408,"tags":1419},177,"mobileye-is-once-again-a-public-company-de","Erneuter Börsengang von Mobileye","Nach dem Börsengang durch Intel jetzt im Nasdaq unter dem Kürzel MBLY geführt","de","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3f4e1447194b6002191d0c471b582e22_1666800871579.jpg","Mobileye CEO Professor Amnon Shashua und Mitarbeiter:innen läuten die Nasdaq-Eröffnungsglocke, um die Rückkehr des Unternehmens an die US-Börsen unter dem Kürzel „MBLY\" zu feiern. Credit: Photography courtesy of Nasdaq, Inc.","\u003Cp>Mobileye eröffnete heute seinen Wertpapierhandel an der Technologiebörse Nasdaq unter dem Kürzel „MBLY“ nach dem Börsengang durch die Muttergesellschaft Intel. Der Börsengang baut auf der Innovations- und Erfolgsbilanz von Mobileye als Intel-Unternehmen auf und erschließt nun den Wert von Mobileye für Aktionär:innen. Mit dem heutigen Tag kehrt Mobileye wieder an die Börse zurück, nachdem das Unternehmen 2017 von Intel erworben wurde. Intel und Mobileye feierten den Meilenstein in den Nasdaq-Räumlichkeiten am New Yorker Times Square sowie virtuell am Mobileye Stammsitz in Jerusalem und den weiteren Niederlassungen weltweit.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Mobileye logo:\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye's-logo[**]\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #000000;\">IPO Photo Gallery\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:ipo-press-kit[**]\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"background-color: #ffffff; color: #242424;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fto-our-customers-a-letter-from-our-ceo\u002F\" target=\"_blank\" rel=\"noopener\">An unsere Kunden: Ein Brief unseres CEOs\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"background-color: #ffffff; color: #242424;\" href=\"https:\u002F\u002Fvimeo.com\u002F764201125\" target=\"_blank\" rel=\"noopener noreferrer\">Feierliches Läuten der Eröffnungsglocke B-Roll\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F763958794\" target=\"_blank\" rel=\"noopener noreferrer\">IPO \u003Cstrong>B-roll\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>",[135],{"id":1421,"type":136,"url":1422,"title":1423,"description":1424,"primary_tag":134,"author_name":177,"is_hidden":47,"lang":1425,"meta_description":1424,"image":1426,"img_alt":1427,"content":1428,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1408,"tags":1429},178,"mobileye-is-once-again-a-public-company-cn","Mobileye再次成功上市","继英特尔推动其首次公开募股后，Mobileye现已在纳斯达克成功上市，股票代码为“MBLY”","cn","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F8153b11720a89c4465f5671556cc2257_1666801480990.jpg","Mobileye 首席执行官Amnon Shashua 教授与员工敲响纳斯达克开市钟，庆祝Mobileye 重返美国股市，交易代码为“MBLY”. Credit: Photography courtesy of Nasdaq, Inc.","\u003Cp>Mobileye今日开始在纳斯达克股票交易市场挂牌上市，股票代码为“MBLY”，此次首次公开募股（IPO）由母公司英特尔牵头达成。凭借持续不断的创新，Mobileye作为英特尔旗下子公司在过去数年里取得了丰硕成果，此次IPO也将为股东释放Mobileye的更多价值。自2017年被英特尔收购，此次IPO意味着Mobileye再次重返股市。英特尔和Mobileye在位于时代广场的纳斯达克庆祝了这一里程碑事件，与此同时，Mobileye耶路撒冷总部和全球各地分公司也在线上共同庆祝这一历史性时刻。\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #242424; background-color: #ffffff;\">Mobileye Logo\u003C\u002Fspan>:\u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye's-logo[**]\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"color: #242424; background-color: #ffffff;\">图片下载链接\u003C\u002Fspan>\u003Cstrong>\u003Cem> \u003C\u002Fem>\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>[**]gallery:ipo-press-kit[**]\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fopinion\u002Fto-our-customers-a-letter-from-our-ceo\u002F\" target=\"_blank\" rel=\"noopener\">\u003Cstrong>\u003Cem>致客户的一封信\u003C\u002Fem>\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #242424; background-color: #ffffff;\" href=\"https:\u002F\u002Fvimeo.com\u002F763958794\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>视频下载链接\u003C\u002Fstrong>\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fvimeo.com\u002F763958794\" target=\"_blank\" rel=\"noopener noreferrer\">\u003Cstrong>\u003Cem> \u003C\u002Fem>\u003C\u002Fstrong>\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Ca style=\"color: #242424; background-color: #ffffff;\" href=\"https:\u002F\u002Fvimeo.com\u002F764201125\" target=\"_blank\" rel=\"noopener noreferrer\">敲钟仪式\u003C\u002Fa>\u003C\u002Fp>",[135],{"id":1431,"type":142,"url":1432,"title":1433,"description":1434,"primary_tag":148,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1434,"image":1435,"img_alt":1433,"content":1436,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1437,"tags":1438},170,"mobileye-ipo-pricing","Mobileye Announces Pricing of Initial Public Offering","Explore Mobileye's recent IPO details, including the offering price and trading start date. Learn about the new \"MBLY\" stock symbol and where we're headed.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F27e5fdcc1bdd9baddddf558d7f5f099b_1666606099770.jpg","\u003Cp>\u003Cstrong>Jerusalem, Israel, \u003C\u002Fstrong>October 26, 2022 – Mobileye Global Inc. (“Mobileye”) today announced the pricing of its initial public offering of 41,000,000 shares of its Class A common stock at an initial public offering price of $21.00 per share. The shares are expected to begin trading on the Nasdaq Global Select Market on October 26, 2022, under the symbol “MBLY,” and the offering is expected to close on October 28, 2022, subject to customary closing conditions. In addition, Mobileye has granted the underwriters a 30-day option to purchase up to an additional 6,150,000 shares of Class A common stock at the initial public offering price, less underwriting discounts and commissions. The net proceeds from the offering to Mobileye, after deducting underwriting discounts and commissions and estimated offering expenses payable by Mobileye, are expected to be approximately $0.8 billion, excluding any exercise of the underwriters’ option to purchase additional shares. A significant portion of the net proceeds from this offering will be used for repayment on a note owed to Mobileye’s parent company, Intel Corporation, and Mobileye intends to use the remaining net proceeds for working capital and general corporate purposes.\u003C\u002Fp>\u003Cp>In addition to the shares of Class A common stock sold in the public offering, Mobileye announced that General Atlantic will purchase 4,761,905 shares of Class A common stock in a private placement at a price per share equal to the initial public offering price, for gross proceeds of $100 million, subject to customary closing conditions. The sale of these shares will not be registered under the Securities Act of 1933, as amended. The closing of the initial public offering is not conditioned upon the closing of the private placement.\u003C\u002Fp>\u003Cp>Goldman Sachs & Co. LLC and Morgan Stanley are acting as joint lead book-running managers for the proposed offering. Evercore ISI, Barclays, Citigroup, BofA Securities, RBC Capital Markets, Mizuho, Wolfe | Nomura Alliance and BNP PARIBAS are acting as book-running managers for the offering. Cowen, Siebert Williams Shank, PJT Partners, MUFG, Needham & Company, Raymond James, Loop Capital Markets, Blaylock Van, LLC, Academy Securities, Drexel Hamilton, Independence Point Securities LLC, CICC, Cabrera Capital Markets LLC and Guzman & Company are acting as co-managers for the offering.\u003C\u002Fp>\u003Cp>A registration statement relating to the shares being sold in this offering was filed with the Securities and Exchange Commission and became effective on October 25, 2022. The offering is being made only by means of a prospectus, copies of which may be obtained, when available, from: the SEC at www.sec.gov, and from: Goldman Sachs & Co. LLC, Prospectus Department, 200 West Street, New York, NY 10282, telephone: 1-866-471-2526, or by emailing prospectus-ny@ny.email.gs.com; or Morgan Stanley & Co. LLC, Attn: Prospectus Department, 180 Varick Street, Second Floor, New York, NY 10014.\u003C\u002Fp>\u003Cp>This press release shall not constitute an offer to sell or the solicitation of an offer to buy these securities, nor shall there be any sale of these securities in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.\u003C\u002Fp>\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Mobileye is a leader in the development and deployment of advanced driver-assistance systems (ADAS) and autonomous driving technologies and solutions. Mobileye pioneered ADAS technology more than 20 years ago and has continuously expanded the scope of its ADAS offerings, while leading the evolution to autonomous driving solutions. Mobileye’s portfolio of solutions is built upon a comprehensive suite of purpose-built software and hardware technologies designed to provide the capabilities to make the future of ADAS and autonomous driving a reality. These technologies can be harnessed to deliver mission-critical capabilities at the edge and in the cloud, advancing the safety of road users, and revolutionizing the driving experience and the movement of people and goods globally.\u003C\u002Fp>\u003Cp>\u003Cstrong>Contacts\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Danielle Mann\u003C\u002Fp>\u003Cp>Intel Media Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:danielle.mann@intel.com\" rel=\"noopener noreferrer\" target=\"_blank\">danielle.mann@intel.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>John Pitzer\u003C\u002Fp>\u003Cp>Intel Investor Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:John.pitzer@intel.com\" rel=\"noopener noreferrer\" target=\"_blank\">John.pitzer@intel.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>Dan Galves\u003C\u002Fp>\u003Cp>Mobileye Investor Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:dan.galves2@mobileye.com\" rel=\"noopener noreferrer\" target=\"_blank\">dan.galves2@mobileye.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Cp>Justin Hyde\u003C\u002Fp>\u003Cp>Corporate Communications and Media Relations\u003C\u002Fp>\u003Cp>\u003Ca href=\"mailto:justin.hyde@mobileye.com\" rel=\"noopener noreferrer\" target=\"_blank\">justin.hyde@mobileye.com\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>[**]gallery:mobileye's-logo[**]\u003C\u002Fp>\u003Cp>\u003Cstrong> \u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>“Wolfe | Nomura Alliance” is the marketing name used by Wolfe Research Securities and Nomura Securities International, Inc. in connection with certain equity capital markets activities conducted jointly by the firms. Both Nomura Securities International, Inc. and WR Securities, LLC are serving as underwriters in the offering described herein. In addition, WR Securities, LLC and certain of its affiliates may provide sales support services, investor feedback, investor education, and\u002For other independent equity research services in connection with this offering.\u003C\u002Fp>","2022-10-25T07:00:00.000Z",[141,149],{"id":1440,"type":142,"url":1441,"title":1442,"description":1443,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1443,"image":1444,"img_alt":1445,"content":1446,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":47,"featured":47,"publish_date":1447,"tags":1448},171,"geely-holding-group-expands-mobileye-collaboration","Geely Holding Group Expands Mobileye Collaboration","Three additional Geely brands to leverage Mobileye SuperVision for advanced ADAS, building off the successful launch of the ZEEKR 001.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Ff2fac34c25b0e0edf42e296664323488_1666776487045.jpg","Mobileye and Geely Holding Group are expanding their collaboration to bring Mobileye SuperVision to three additional Geely brands, with additional plans to bring the technology to other models in the future. The expansion follows the successful launch of Geely Group’s ZEEKR 001, a premium electric vehicle also equipped with the Mobileye full-stack advanced driver-assistance system. (Credit: Mobileye, an Intel Company) tecture and Engineering Group","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\u003Cp>NEWS HIGHLIGHTS\u003C\u002Fp>\u003Cul>\u003Cli>Mobileye and Geely Holding Group aim to expand their collaboration to include three additional Geely brands.\u003C\u002Fli>\u003Cli>Collaboration builds off the successful launch of the ZEEKR 001 electric vehicle with Mobileye SuperVision.\u003C\u002Fli>\u003Cli>ZEEKR to expand Mobileye SuperVision to additional models, as well.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>JERUSALEM and SHANGHAI, Sept. 26, 2022 — Mobileye and Geely Holding Group announced today the expansion of their ongoing collaboration for advanced driver-assistance systems (ADAS) and autonomous vehicle technology. The announcement follows the successful launch of the ZEEKR 001 premium electric vehicle (EV) with Mobileye SuperVision™ technology, with more than 40,000 vehicles already on the road and ahead of an over-the-air (OTA) update that will unlock SuperVision’s full capabilities.\u003C\u002Fp>\u003Cp>Building on the success with the premium electric mobility technology brand ZEEKR, three additional brands under the Geely Holding Group umbrella are set to globally launch electric vehicle models with Mobileye SuperVision technology beginning next year. ZEEKR will also introduce Mobileye SuperVision on two new EV models, as well as developing new lidar-based features with Mobileye.\u003C\u002Fp>\u003Cp>“We have proudly worked with ZEEKR, our strategic partner, on the first consumer deployment of SuperVision technology, demonstrating both its on-road capabilities and its ability to evolve through over-the-air updates,” said Prof. Amnon Shashua, Mobileye president and chief executive officer. “This is only the beginning of potential applications for this technology, and with these new projects, we will demonstrate how SuperVision can be adapted to any brand’s specific needs.”\u003C\u002Fp>\u003Cp>An Conghui, president of Geely Holding Group and CEO of ZEEKR Intelligent Technology, said: \"Mobileye is an important strategic partner for ZEEKR. As the cooperation between ZEEKR and Mobileye continues to deepen, Mobileye's globally leading intelligent driving technologies will be used in more ZEEKR models in the future. ZEEKR is committed to openness and integrating future technologies in various fields to provide our users with better intelligent drive experiences.\"\u003C\u002Fp>\u003Cp>ZEEKR 001 customers already benefit from constantly upgrading surround vision-based, highway-assist capabilities with special safety features. The system is expected to receive full SuperVision capabilities through over-the-air updates by the end of this year that will bring ZEEKR customers‘ driving experience to the next level.  \u003C\u002Fp>\u003Cp>Mobileye SuperVision is powered by two 7 nanometer EyeQ®5 system-on-chip. It supports point-to-point assisted driving under a wide range of road types – from highway, arterial and rural to urban. Mobileye SuperVision enables the vehicle to change lanes autonomously, navigate intersections and manage key driving priorities, as well as powering automated parking and preventive steering and braking. The Mobileye SuperVision system uses 11 high-resolution cameras – seven long-range and four parking cameras – to provide full visual coverage surrounding the vehicle.\u003C\u002Fp>\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Mobileye is a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for advanced driver-assistance systems and autonomous driving. Mobileye’s technology helps keep passengers safer on the roads, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Mobileye’s proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye is a wholly owned subsidiary of Intel (Nasdaq: INTC). For more information, visit \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: rgb(0, 104, 181); background-color: transparent;\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>\u003Cstrong>Forward-Looking Statements\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Statements in this press release that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “goals,” “plans,” “believes,” “seeks,” “estimates,” “continues,” “may,” “will,” “would,” “should,” “could,” and variations of such words and similar expressions are intended to identify such forward-looking statements. Statements that refer to or are based on estimates, forecasts, projections, uncertain events or assumptions, including statements relating to future products and technology and the availability and benefits of such products and technology, expectations regarding customers, market opportunity, and anticipated trends in our businesses or the markets relevant to them, also identify forward-looking statements. Such statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in these forward-looking statements. Important factors that could cause actual results to differ materially are set forth in Intel Corporation’s (“Intel”) SEC filings, including Intel’s most recent reports on Forms 10-K and 10-Q, which may be obtained by visiting Intel’s Investor Relations website at www.intc.com or the SEC’s website at www.sec.gov. Mobileye and Intel do not undertake, and expressly disclaims any duty, to update any statement made in this press release, whether as a result of new information, new developments or otherwise, except to the extent that disclosure may be required by law.\u003C\u002Fp>","2022-09-26T00:00:00.000Z",[141],{"id":1450,"type":142,"url":1451,"title":1452,"description":1453,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1453,"image":1454,"img_alt":1455,"content":1456,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1457,"tags":1458},136,"autonomous-vehicle-detroit-united-states","Level 4 Autonomy Now Testing in Detroit with Mobileye Drive™","Our fully autonomous vehicle reaches American roads for the first time with True Redundancy™ sensing subsystems: one based on cameras and another on radar and lidar.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F2f49505e45882ee08906fe494b3f7d20_1664775234337.png","NIO ES8 autonomous vehicle equipped with Mobileye Drive arrives in Detroit, Michigan, for testing in the United States.","\u003Cp>Over the past few years, Mobileye has run one of the most ambitious testing programs in the world for autonomous vehicles. To date, our development AVs have operated in about 20 cities across ten countries on three continents around the globe. Now, this program is entering its next phase as \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">our fully autonomous vehicle equipped with Mobileye Drive™\u003C\u002Fa> has begun testing in Detroit \u003Cspan style=\"background-color: rgb(255, 255, 255); color: rgb(0, 0, 0);\">– \u003C\u002Fspan>the first time our future Level 4 self-driving solution has hit U.S. roads.\u003C\u002Fp>\u003Cp>Integrated into the all-electric NIO ES8 sport-utility vehicle, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-drive-self-driving-system\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Mobileye Drive\u003C\u002Fa> combines the power of our unique approach to autonomous mobility with our experience in delivering driver-assistance systems in nearly 120 million vehicles. The system benefits from unique Mobileye innovations, including \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">True Redundancy™\u003C\u002Fa> sensing, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Road Experience Management™\u003C\u002Fa> (REM™) crowdsourced mapping, and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">Responsibility-Sensitive Safety\u003C\u002Fa> (RSS) driving policy.\u003C\u002Fp>\u003Cp>Where our \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FvL_QNy25n74\" rel=\"noopener noreferrer\" target=\"_blank\">prior test cars\u003C\u002Fa> used either cameras alone or a combination of lidars and radars alone, the commercial version of Mobileye Drive employs both – a 360-degree suite of advanced sensing technology containing 11 cameras, 6 radars, 3 long-range lidars and 6 short-range lidars – all powered by our industry-leading \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">EyeQ® chips\u003C\u002Fa>. Under our True Redundancy approach, the camera subsystem operates independently of the radar\u002Flidar subsystem, providing more robust sensing of road conditions and other traffic, while also providing safety-critical redundancy as each subsystem complements its fellow subsystem.\u003C\u002Fp>\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7972ba7a570cd5ecf164a006930f3ada_1662541681368.jpg\" alt=\"A fleet of NIO ES8 autonomous vehicles equipped with Mobileye Drive at our headquarters in Jerusalem, Israel.\">\u003C\u002Fp>\u003Cp>\u003Cem>Pictured above: a fleet of NIO ES8 electric crossover utility vehicles outside Mobileye headquarters in Jerusalem, Israel (for illustration).\u003C\u002Fem>\u003C\u002Fp>\u003Cp>\u003Cstrong>Testing Globally, Driving Locally\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Rather than deploying autonomous mobility in limited geographic areas, we believe that self-driving technology will need to be widely usable across many different types of roads and situations. This means that our technology should be adaptable not just to different locations, but to different climates and driving cultures as well.\u003C\u002Fp>\u003Cp>Anyone who’s ever driven in a foreign country knows you need not just a map, but also an understanding of the local “rules of the road.” The REM-powered Mobileye Roadbook™ helps us gather data on the general behavior of traffic in different places, and RSS adapts the Mobileye Drive system to local behavior in those places. By testing Mobileye Drive in Detroit, we’ll expose Mobileye Drive to the everyday challenges of American driving, and some unique local roadway characteristics (like “\u003Ca href=\"https:\u002F\u002Fwww.michigan.gov\u002Fmdot\u002FTravel\u002Fsafety\u002FRoad-Users\u002Fmichigan-lefts\" rel=\"noopener noreferrer\" target=\"_blank\">Michigan lefts\u003C\u002Fa>”) to further verify its capabilities.\u003C\u002Fp>\u003Cp>“Our Detroit testing of Mobileye Drive is helping us ensure that the system can bring forward the global commercialization of autonomous driving technology and deliver on its promise to vastly improve road safety,” said Johann “JJ” Jungwirth, Senior Vice President of Autonomous Vehicles at Mobileye. “We take the challenge of proving the capabilities of our technology seriously. By testing in the birthplace of the American automotive industry, we expect to make major progress toward our goals.”\u003C\u002Fp>\u003Cp>\u003Cstrong>Safety for Everyone\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>The \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fself-driving-robotaxi-sixt-germany-iaa\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">NIO ES8 equipped with Mobileye Drive\u003C\u002Fa> serves as a test platform in the development of our turnkey self-driving solutions for both commercial and future consumer AVs. Fleets of this vehicle will also form the basis of the robotaxi services we’re preparing to roll out in the coming months with our partners in Germany and Israel.\u003C\u002Fp>\u003Cp>Mobileye has worked closely with the U.S. National Highway Traffic Safety Administration to ensure safe operation of these vehicles on U.S. roads. A highly trained safety driver is behind the wheel of the Mobileye vehicles while testing in Detroit. Our current test plan does not include giving rides to members of the public, or testing without safety drivers.\u003C\u002Fp>\u003Cp>In the months ahead, we’ll have more milestones to announce around the progress of Mobileye Drive.\u003C\u002Fp>","2022-09-07T00:00:00.000Z",[65,141],{"id":1460,"type":142,"url":1461,"title":1462,"description":1463,"primary_tag":177,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1463,"image":1464,"img_alt":1465,"content":1466,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1467,"tags":1468},133,"q2-2022-financial-results","Mobileye Reports Q2 2022 Financial Results","Revenue of $460 million represents a 41% increase year-over-year as business continues to grow, as disclosed by our parent company Intel last night.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7ee45e3331c108f6ec192a88f7bdec42_1659045140080.png","Mobileye shipped 16 million units in the first half of 2022, and won new business projected at more than twice that amount.","\u003Cp>Mobileye had a very successful second quarter, as disclosed by Intel last night. Revenue of $460 million was up 41% year-over-year (YOY), outperforming the rate of increase in global automotive production which was relatively flat YOY. Profitability was also robust with $190 million of Operating Income (up 43% YOY) and representing a 41% operating income margin.\u003C\u002Fp>\n\u003Cp>Mobileye’s future business backlog continues to grow as well, with first half 2022 design wins generating nearly 37 million units of projected future business, compared to about 16 million units actually shipped in the first half. \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye’s advanced product portfolio\u003C\u002Fa>, which stretches across the entire ADAS and AV spectrum, continues to gain traction.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F04f073bded81aaa72afdfe34f1bbe604_1659045183998.png\" alt=\"Mobileye's revenue over Q2 2022 was up 41 percent year-over-year, with a 43-percent increase in operating income.\" \u002F>\u003C\u002Fp>\n\u003Cp>Amidst late-stage discussions with several major OEM’s, proof points on our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fsuper-vision\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye SuperVision™\u003C\u002Fa> product included a \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-supervision-zeekr-ota-update\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">major feature upgrade to Zeekr delivered over-the-air last week\u003C\u002Fa>. We also successfully completed a 2,000+ kilometer proof-of-concept expedition for Mobileye SuperVision with a major European OEM on all road types, including night-time driving in several urban centers, utilizing only our 360-degree camera system, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">RSS\u003C\u002Fa>-supported driving policy, and the existing \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">REM™-based high-definition map\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd6b95e55aad1f7344bc3cb38e81fccca_1659045240962.png\" alt=\"Mobileye's Road Experience Management continues to map the world's roadways for autonomous vehicles and advanced driver-assistance applications.\" \u002F>\u003C\u002Fp>\n\u003Cp>Finally, we’d like to highlight the growth in REM, our crowd-sourced high-definition mapping product, since our last update at CES in early January. As of the end of last quarter, we had collected 8.6 billion miles of road data from, based on our estimates, approximately 1.5 million REM-enabled vehicles worldwide, and were analyzing up to 43 million miles of road data per day, with the size of the REM-enabled fleet increasing daily. The scale of REM becomes clear when compared to manually generated high-definition road maps from competitors that currently cover 1-5% of US roads. After years of development, REM is now a fully operational product, becoming a key source of information, and a differentiator, across our entire portfolio from \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fcloud-enhanced-driver-assist\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Cloud-Enhanced Driver-Assist\u003C\u002Fa> to Mobileye SuperVision to autonomous vehicles both for consumers and future \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Fdrive\u002F\" target=\"_blank\" rel=\"noopener\">Mobility-as-a-Service\u003C\u002Fa> networks.\u003C\u002Fp>","2022-07-29T07:00:00.000Z",[141,149],{"id":1470,"type":142,"url":1471,"title":1472,"description":1473,"primary_tag":17,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1473,"image":1474,"img_alt":1475,"content":1476,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1477,"tags":1478},130,"shashua-mobility-innovator-award-automotive-hall-of-fame","Automotive Hall of Fame Awards Prof. Shashua for Innovation","“Entering the Automotive Hall of Fame is an incredible honor,” said Mobileye CEO Prof. Amnon Shashua at induction ceremony in Detroit.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fbd9ade080d4e388cd6434dc69ed9dce1_1658827956505.jpg","Mobileye CEO Prof. Amnon Shashua receives the 2022 Mobility Innovator Award during the Automotive Hall of Fame Induction and Awards Ceremony in Detroit.","\u003Cp>As mobility technology plays an increasingly important role in the advancement of the automobile, industry organizations have sought new ways to identify the most significant new developments and the people behind them.\u003C\u002Fp>\n\u003Cp>The Mobility Innovator Award, introduced last year by the \u003Ca href=\"https:\u002F\u002Fwww.automotivehalloffame.org\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Automotive Hall of Fame\u003C\u002Fa>, seeks to recognize “the outstanding work individuals have accomplished introducing new technologies and services that are redefining mobility.” This year, the esteemed honor went to our chief executive, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Famnon-shashua\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Professor Amnon Shashua\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>“\u003Cspan style=\"color: black;\">I am truly overwhelmed. \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.automotivehalloffame.org\u002Fhonoree\u002Famnon-shashua\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Entering the Automotive Hall of Fame\u003C\u002Fa> and being awarded the Mobility Innovator of the Year is an incredible honor,” Prof. Shashua said during the induction and awards ceremony in Detroit on Thursday. “I am privileged to have the chance to work in and influence such an exciting industry.”\u003C\u002Fp>\n\u003Cp>Shashua founded Mobileye in 1999. At the time, he said, “no one in the automotive industry believed that a single front-facing camera could achieve the level of performance and robustness needed for a system that would prevent or mitigate collisions and other safety functions. I must say that it gave me great pleasure to do something that everybody said could not be done.”\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fo1FmAg1OTGA\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>“Amnon’s biggest contribution to the automotive industry is actually laying the groundwork for a safer, greener, and data-driven future – decades before such a vision would be deemed anything but a fantasy,” Mobileye’s chief legal officer and general counsel Liz Cohen-Yerushalmi attested in the tribute video above. “I don’t think it would be an exaggeration to say that he has revolutionized the automotive industry forever.”\u003C\u002Fp>\n\u003Cp>\u003Cstrong>An Honorable History\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Since its establishment in 1939, the Automotive Hall of Fame has bestowed more than 750 awards upon industry leaders and innovators. Its long list of inductees is a veritable \u003Cem>Who's Who\u003C\u002Fem> of notable names, identifiable with their eponymous brands to this day, such as W.O. Bentley, Ettore Bugatti, David D. Buick, Louis Chevrolet, Walter P. Chrysler, André Citroën, Enzo Ferrari, Soichiro Honda, Armand Peugeot, Ferdinand Porsche, Louis Renault, and Ratan Tata – as well as brothers Horace E. and John F. Dodge, three generations of Fords, three Toyodas [\u003Cem>sic\u003C\u002Fem>], and five Opels.\u003C\u002Fp>\n\u003Cp>This year’s new inductees include the late sportscar magnate Ferruccio Lamborghini, Chinese entrepreneur Lu Guanqiu, pioneering production engineer Taiichi Ohno, trailblazing female racing driver Lyn St. James, and Alma and Victor Green (authors of \u003Cem>The Green Book\u003C\u002Fem>). Alongside Prof. Shashua, the organization also honored \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FJ0SVWiDienk\" target=\"_blank\" rel=\"noopener noreferrer\">Ford CEO Jim Farley\u003C\u002Fa> as Industry Leader of the Year.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fd113ad90ae299d3079c796724eb0c864_1658474431123.png\" alt=\"Mobileye CEO Prof. Amnon Shashua with Ford CEO Jim Farley at the 2022 Automotive Hall of Fame induction and awards ceremony.\" \u002F>\u003C\u002Fp>\n\u003Cp>“The automotive industry is experiencing revolutionary change driven by innovators who are shaping the future of mobility. The Mobility Innovator Award celebrates individuals and their impact,” noted Automotive Hall of Fame president Sarah Cook. “We are thrilled to recognize Amnon Shashua for his industry-leading contributions to advanced driving assist systems and other autonomous driving solutions.”\u003C\u002Fp>\n\u003Cp>This award is the latest in a string of citations bestowed upon our founder and chief executive. Late last year, Shashua was named \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Famnon-shashua-automated-driving-executive-of-the-year-automotive-news\u002F\" target=\"_blank\" rel=\"noopener\">Automated Driving Executive of the Year by \u003Cem>Automotive News\u003C\u002Fem>\u003C\u002Fa>. He received the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fprof-amnon-shashua-wins-the-dan-david-prize\u002F\" target=\"_blank\" rel=\"noopener\">Dan David Prize\u003C\u002Fa> in 2020, and was named \u003Ca href=\"https:\u002F\u002Fwww.imaging.org\u002Fsite\u002FIST\u002FIST\u002FConferences\u002FEI\u002FEI_Scientist_of_the_Year.aspx\" target=\"_blank\" rel=\"noopener noreferrer\">Electronic Imaging Scientist of the Year\u003C\u002Fa> in 2019 by the Society for Imaging Science and Technology.\u003C\u002Fp>\n\u003Cp>In addition to his role as president and CEO of Mobileye, Prof. Shashua is a senior vice president at Intel. He holds the Sachs Chair in Computer Science at the Hebrew University of Jerusalem, has published more than 160 scientific papers, and holds over 90 patents. \u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"background-color: white; color: #242424;\">A pioneering innovator in the field of artificial intelligence, Prof. Shashua leads multiple ventures to apply AI to tackle real-world challenges. In parallel to Mobileye, \u003C\u002Fspan>\u003Ca style=\"background-color: white; color: #4f52b2;\" href=\"https:\u002F\u002Fwww.orcam.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">OrCam Technologies\u003C\u002Fa>\u003Cspan style=\"background-color: white; color: #242424;\"> develops wearable devices to assist the visually and hearing impaired; the \u003C\u002Fspan>\u003Ca style=\"background-color: white; color: #4f52b2;\" href=\"https:\u002F\u002Fwww.onezerobank.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">One Zero Digital Bank\u003C\u002Fa>\u003Cspan style=\"background-color: white; color: #242424;\"> harnesses AI to enable smarter management of our finances; and \u003C\u002Fspan>\u003Ca style=\"background-color: white; color: #4f52b2;\" href=\"https:\u002F\u002Fwww.ai21.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">AI21 Labs\u003C\u002Fa>\u003Cspan style=\"background-color: white; color: #242424;\"> is working to revolutionize how we read and write, unlocking new forms of communication and expression. We look forward to seeing Shashua’s groundbreaking work yield tangible breakthroughs in wearables, fintech, natural language processing, and more in the years to come – much as he has in the automotive industry.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F6bbb4abd3c4dab2e911ded29725e62b2_1658828020200.jpg\" alt=\"Mobileye CEO Prof. Amnon Shashua with his fellow award-recipients and inductees to the Automotive Hall of Fame.\" \u002F>\u003C\u002Fp>","2022-07-22T07:00:00.000Z",[50,114,141],{"id":1480,"type":14,"url":1481,"title":1482,"description":1483,"primary_tag":56,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1483,"image":1484,"img_alt":1485,"content":1486,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1487,"tags":1488},129,"eyeq-kit-sdk","EyeQ Kit™ Unlocks the Power of Our System-on-Chip","Our new software development kit (SDK) empowers automakers to develop and deploy their own differentiated market offerings on top of Mobileye’s efficient and scalable EyeQ® SoC.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F17635ed8e5c1a3721e5239f2d18b3405_1669106212111.jpg","EyeQ Kit™ opens up new possibilities for automobile manufacturers using Mobileye's hardware.","\u003Cp>Over the course of the past two decades, the world’s leading automakers have come to count on the efficiency, scalability, and performance of EyeQ®. This automotive-grade family of Systems-on-Chip serves as the brain behind everything Mobileye does. And now we’re unlocking the power of EyeQ further with the introduction of the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Feyeq-kit\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">EyeQ Kit™\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>This new software development kit (SDK) is designed to \u003Cspan style=\"color: black;\">enable our OEM customers to realize the full potential of \u003C\u002Fspan>EyeQ\u003Cem> \u003C\u002Fem>to power their own applications. \u003Cspan style=\"color: black;\">Based on the highly efficient and heterogeneous compute architecture of our \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Feyeq6-system-on-chip\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">powerful new EyeQ6\u003C\u002Fa>\u003Cspan style=\"color: black;\"> and \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-ces-2022-tech-news\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">EyeQ\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-ces-2022-tech-news\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">\u003Cem> \u003C\u002Fem>\u003C\u002Fa>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-ces-2022-tech-news\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">Ultra\u003C\u002Fa>\u003Cspan style=\"color: black;\"> processors, EyeQ Kit allows automotive manufacturers to build their own applications on top of \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">Mobileye's cutting-edge core technologies\u003C\u002Fa>\u003Cspan style=\"color: black;\">.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"color: black;\">Proven Technology, Greater Flexibility\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: black;\">From general-purpose CPU cores to high-compute-density accelerators – including deep-learning neural networks – \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">EyeQ\u003C\u002Fa>\u003Cspan style=\"color: black;\"> has the scalable and modular architecture to deliver high performance, while \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fwhy-tops-arent-tops-when-it-comes-to-av-processors\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">requiring modest TOPS (Trillions of Operations per Second)\u003C\u002Fa>, all within a low power envelope\u003Cspan style=\"color: black;\">. These are the advantages that make EyeQ\u003C\u002Fspan>\u003Cem> \u003C\u002Fem>\u003Cspan style=\"color: black;\">the System-on-Chip that’s trusted by dozens of the world’s leading automakers to power the ADAS features in hundreds of models – amounting to more than \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002F100-million-eyeq-chips\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">100 million vehicles\u003C\u002Fa>\u003Cspan style=\"color: black;\"> (as of the end of 2021). And now, as more \u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002F\" rel=\"noopener noreferrer\" target=\"_blank\" style=\"color: black;\">advanced driver-assistance features evolve into autonomous driving\u003C\u002Fa>\u003Cspan style=\"color: black;\">, EyeQ Kit provides automakers with a platform for brand expression on top of Mobileye’s proven technology stack.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: black;\">EyeQ Kit allows automakers to benefit from our \u003C\u002Fspan>EyeQ \u003Cspan style=\"color: black;\">architecture and the technologies that we have built upon it – including \u003C\u002Fspan>industry-leading computer vision capabilities\u003Cspan style=\"color: black;\">, REM™ crowdsourced mapping, and RSS-based driving policy. Using EyeQ Kit, OEMs can further leverage the power of our System-on-Chip for what \u003C\u002Fspan>\u003Cem style=\"color: black;\">they \u003C\u002Fem>\u003Cspan style=\"color: black;\">need so that they can concentrate on what matters most: implementing the latest technological functions to enhance the driving experience, with a look and feel unique to their products. \u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: black;\">These functions include advanced driver-assistance features such as Adaptive Cruise Control, Traffic Jam Assist\u002FPilot, Highway Assist\u002FPilot, Full ODD In-Path Assist, and much more. Beyond driver-assistance, EyeQ Kit also \u003C\u002Fspan>enables co-hosting of a broad range of visualization and driver-monitoring applications directly on the EyeQ SoC. Integrating these increasingly sought-after functions directly onto EyeQ removes the need for \u003Cspan style=\"color: black;\">additional safety-critical ECUs and collateral integration, which unlocks the potential for cost-savings and reduced complexity. \u003C\u002Fspan>EyeQ Kit also enables additional functions including automated parking, augmented and virtual reality displays, and human-machine interfaces.\u003C\u002Fp>\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fb6006d861e6908b90f7f221bf2ff3474_1657016205850.png\" alt=\"EyeQ Kit uses standardized APIs, development platforms, and operating systems to enable smooth access by Mobileye's OEM customers.\">\u003C\u002Fp>\u003Cp>\u003Cstrong style=\"color: black;\">EyeQ Kit Speaks Your Language\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>\u003Cspan style=\"color: black;\">EyeQ Kit is based on standard APIs – such as OpenCL and TensorFlow – and X86 development platforms. By \"speaking\" these common languages, EyeQ Kit allows OEMs to develop their own applications conveniently and efficiently, without the need for specialized skills or specific hardware vendors. This, of course, carries the potential to reduce development costs, accelerate time to market, and enable hardware-vendor flexibility for the full development cycle – from functional bring-up to deployment and performance-tuning.\u003C\u002Fspan>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>In short, EyeQ Kit opens up a whole new world of possibilities for the automakers whose vehicles we’re committed to enhancing with our cutting-edge technologies. Visit the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsolutions\u002Feyeq-kit\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">EyeQ Kit\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Feyeq-chip\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">EyeQ SoC\u003C\u002Fa> pages on the Mobileye website to learn more.\u003C\u002Fp>","2022-07-05T00:00:00.000Z",[57,65],{"id":1490,"type":142,"url":1491,"title":1492,"description":1493,"primary_tag":102,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1493,"image":1494,"img_alt":1495,"content":1496,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1497,"tags":1498},122,"autonomous-vehicle-testing-miami-stuttgart","Autonomous on the Streets of Miami and Stuttgart","With the addition of two more locations in Florida and Germany, we have tested AVs in ten cities in six countries across three continents around the world.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F2e1f3ee26f2da03071bbd121f032c0fb_1651055587131.jpg","Mobileye autonomous vehicle testing in Miami, Florida","\u003Cp>An autonomous vehicle capable of operating in one place may be of benefit to those in that particular location – but Mobileye’s stated goal is to develop self-driving technology to be easily deployable anywhere and everywhere.\u003C\u002Fp>\n\u003Cp>That’s why we’ve been spending the past several years \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frobotaxi-night-drive-jerusalem-unedited-video\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">testing our self-driving vehicles\u003C\u002Fa> not in carefully selected and geofenced environments, but rather alongside actual traffic, in real-life conditions, in locations around the world. And now we’ve expanded our global footprint yet again by commencing testing of our autonomous vehicles in both Miami and Stuttgart.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>AV Everywhere\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Beyond its image of exotic cars cruising sun-soaked streets, driving in downtown Miami is characterized by heavy congestion, with significant \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Favs-and-the-drive-for-pedestrian-safety\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">pedestrian\u003C\u002Fa>, cyclist, even skateboard and inline-skating traffic.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002Fipc1o5M0lRQ\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>Meanwhile Stuttgart – aside from being widely known as the birthplace of the automobile and a major hub of the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-salutes-israels-induction-into-the-global-automotive-industry\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">global automotive industry\u003C\u002Fa> – presents a complex mix of steep landscapes and driving on urban, rural, and high-speed (often even derestricted) Autobahn highways.\u003C\u002Fp>\n\u003Cp>These latest locations join our AV testing programs previously launched in \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FvL_QNy25n74\" target=\"_blank\" rel=\"noopener noreferrer\">Detroit\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fpress-kit\u002Fpress-kit-mobileye-new-york-city\u002F\" target=\"_blank\" rel=\"noopener\">New York\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-releases-unedited-footage-of-a-40-minute-av-ride-through-jerusalem\u002F\" target=\"_blank\" rel=\"noopener\">Jerusalem\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fyoutu.be\u002FZSihbQDg2HA\" target=\"_blank\" rel=\"noopener noreferrer\">Tel Aviv\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmunich-av-video\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Munich\u003C\u002Fa>, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fparis-ratp-autonomous-vehicle-testing-pilot\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Paris\u003C\u002Fa>, Tokyo, and Shanghai. With the addition of Miami and Stuttgart, we have had testing programs in ten cities in six countries across three continents around the world.\u003C\u002Fp>\n\u003Cp>“Mobileye is scaling its AV testing through the addition of new locations,” notes Johann “JJ” Jungwirth, Vice President of Mobility-as-a-Service (Maas) at Mobileye. “Adding Miami and Stuttgart to our testing program represents a commitment to ensuring, first and foremost, safety, and, second, a ‘quality’ rider experience, and at the same time strengthens the foundation for the large-scale commercialization of autonomous mobility services worldwide by confronting and coping with broad and complex driving scenarios, traffic rules, and unique conditions in various cities.”\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Ciframe class=\"ql-video\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002FlVQuUPvy9GU\" width=\"560\" height=\"315\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\">\u003C\u002Fiframe>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Scalable by Design\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>As with each city our autonomous vehicles have reached, the unique parameters presented by these latest locations pose a novel set of challenges and conditions for our autonomous vehicles to adapt to. And they’ve adapted rather quickly: in fact, our AVs were cruising the streets of Miami within just two weeks of arrival.\u003C\u002Fp>\n\u003Cp>Central to that quick turnaround and Mobileye’s “AV everywhere” strategy is our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Road Experience Management™\u003C\u002Fa> mapping technology. By crowdsourcing data from millions of vehicles already on the road equipped with our technology, REM™ can map new roadways quickly, efficiently, and exactingly – at the push of a button and in near-real time. The resulting Mobileye Roadbook™ provides our autonomous vehicles with \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Frem-mapping-avs\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">highly detailed, precise, and up-to-date information\u003C\u002Fa> about the driving environment, supplementing the vehicle’s onboard sensors.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F73b5342ec7a22fb9e21bc13e48a058e1_1651055665297.jpg\" alt=\"Mobileye autonomous vehicle testing in Miami, Florida\" \u002F>\u003C\u002Fp>\n\u003Cp>The scalability of our approach to self-driving technology is further reinforced by our \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Responsibility-Sensitive Safety\u003C\u002Fa> model. RSS yields both a lean driving policy that accounts for differences in local driving culture and an open framework for regulators to pave the way for \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fav-scale-erez-dagan-jack-weast-reuters\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">the deployment of autonomous vehicles at scale\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>From mapping and driving policy to sensing and processing, everything Mobileye builds, we build to scale. That’s what enables us to bring the benefits of self-driving technology to everywhere, in every way, for everyone – from Miami to Stuttgart and beyond.\u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F991d3b4affc461445e64b3ab374b2ae7_1651055633626.jpg\" alt=\"Mobileye autonomous vehicle testing in Miami, Florida\" \u002F>\u003C\u002Fp>","2022-04-27T07:00:00.000Z",[65,128,141],{"id":1500,"type":142,"url":1501,"title":1502,"description":1503,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1503,"image":1504,"img_alt":1505,"content":1506,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1507,"tags":1508},167,"mobileye-avs-now-driving-with-full-sensing-suite","Mobileye AVs Now Driving with Full Sensing Suite","Now equipped with True Redundancy sensing, Mobileye AVs display human-like driving skill in a new, unedited driving video.","https:\u002F\u002Fstatic.mobileye.com\u002Fdev\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3d8be41c9e388e164080ec03ce233f26_1663241886991.jpg","​Mobileye Vice President Johann Jungwirth takes viewers on a virtual drive through the hectic streets of Jerusalem in a robotaxi.","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #262626;\">What’s New:\u003C\u002Fstrong>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> Mobileye, an Intel company, today showed its True Redundancy™ sensing system operating hands-free in Israel – a major milestone in preparation for the debut of its planned robotaxi services in Israel and Germany. A new, \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fyoutu.be\u002FpDyMzz8HMIc\" target=\"_blank\" rel=\"noopener noreferrer\">unedited video\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> shows the vehicle operating in autonomous mode while mimicking the multi-stop behavior of a ride-hailing service with humanlike skill.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cem>“Mobileye Drive™ with True Redundancy defies industry norms with separate sensing subsystems that act as backups to one another. The very normal way in which the vehicle navigates very complex scenarios proves the value in this approach.”\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>–Johann Jungwirth, vice president of mobility-as-a-service at Mobileye\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #262626;\">What It Means: \u003C\u002Fstrong>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">The video shows the Mobileye AV going through the motions of a robotaxi service, driving to multiple destinations and pausing where it might pick up and drop off passengers. In this fifth installment of the \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWCfS_Yhbvs5MtQIjNfN-xLU30mc1qjEc\" target=\"_blank\" rel=\"noopener noreferrer\">unedited drive series\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">, the capabilities of \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\" target=\"_blank\" rel=\"noopener\">True Redundancy\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">, Mobileye’s alternative approach to autonomous vehicle (AV) sensor fusion, are on full display as the Mobileye AV robotaxi navigates the complex streets of Jerusalem at night. While previous unedited videos have shown the AV driving only with the camera subsystem, this new installment comes from the fully configured \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-moves-garage-streets\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">AV\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> that Mobileye is planning to use in commercial robotaxi deployments.  \u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #262626;\">How It Works:\u003C\u002Fstrong>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> True Redundancy is Mobileye’s unique approach to environmental sensing whereby two independent subsystems – one camera-only and the other a lidar-radar combination – each serve as backups to each other instead of as complementary systems. The result is a sensing solution believed to deliver a higher mean time between failures. Prototype AVs now driving in Israel are Mobileye’s first to combine the two systems in a single vehicle, demonstrating how the robotaxi is expected to perform in real-world operations.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">In the 40-minute unedited video, the Mobileye AV is seen completing complex, real-world driving maneuvers despite harsh nighttime roadway lighting and complicated road signs. The very humanlike driving behavior of the AV comes across as remarkably unremarkable in that it handles very challenging maneuvers smoothly.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">Making it look easy, the AV negotiates with human drivers when executing a left turn at an unprotected junction (4:04; 06:48); safely and successfully navigates around jaywalking pedestrians (08:28; 10:42); seamlessly handles illegal maneuvers by other drivers (04:34); completes a 180-degree turn in an intersection with multiple traffic signals (25:18); navigates around vehicles blocking proper lane usage (25:39); rides through a roundabout with pedestrians (26:44); and completes other more regular driving maneuvers.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #262626;\">Why It Matters:\u003C\u002Fstrong>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> The demonstration of True Redundancy on real roads helps to dispel past industry skepticism that doubted whether Mobileye’s cutting-edge approach to environmental sensing could work. More remarkable is the almost mundane quality to the video. The AV handles the drive more or less as a human would (and in some cases better), showing its near-readiness for planned robotaxi operations. Building on the already vast capabilities of Mobileye’s camera-first AV development fleet, the addition of radar-lidar to its sensor suite is the final piece to achieving what the company set out to do with its differentiated AV technology.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">Operationalizing the True Redundancy system is a crucial milestone toward Mobileye’s planned robotaxi service scheduled for later this year in \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-sixt-plan-new-robotaxi-service\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Germany\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> and Israel. Mobileye has started the permit and regulatory approval process in both countries to enable the company to begin removing safety drivers on public roads.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong style=\"background-color: #ffffff; color: #262626;\">More Context: \u003C\u002Fstrong>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">Mobileye Drive – Mobileye’s self-driving system – combines Mobileye’s industry-leading technologies, including \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" target=\"_blank\" rel=\"noopener\">Road Experience Management™\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\">, the company’s proprietary approach to mapping that leverages crowdsourced data from mass-market advanced driver-assistance systems to build AV maps on short notice; the \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\" target=\"_blank\" rel=\"noopener\">Responsibility-Sensitive Safety (RSS)\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> driving policy that implements a mathematical model to enhance safety through improved adaption to unique driving environments; and \u003C\u002Fspan>\u003Ca style=\"background-color: #ffffff; color: #0068b5;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Ftrue-redundancy\u002F\" target=\"_blank\" rel=\"noopener\">True Redundancy,\u003C\u002Fa>\u003Cspan style=\"background-color: #ffffff; color: #262626;\"> which combines two independent perception sub-systems powered by cameras and radar-lidar, with each alone capable of developing full models and ultimately supporting full end-to-end autonomous capabilities.\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye, an Intel Company, is leading the mobility revolution with its autonomous driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping and data analysis. Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields toward the future of mobility. For more information: \u003Ca style=\"color: #0068b5; background-color: transparent;\" href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" target=\"_blank\" rel=\"noopener\">www.mobileye.com\u003C\u002Fa>.\u003C\u002Fp>","2022-04-12T07:00:00.000Z",[141,65],{"id":1510,"type":142,"url":1511,"title":1512,"description":1513,"primary_tag":121,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1513,"image":1514,"img_alt":1513,"content":1515,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":177,"publish_date":1516,"tags":1517},157,"2022-ces-mobileye-event-livestream-replay","Mobileye’s ‘Under the Hood’ (Replay)","During CES 2022, Mobileye CEO Prof. Amnon Shashua offers an update on how the company will deliver economically viable consumer autonomous vehicles. ","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F3c34f1076fd9a3f382b71669c77785dc_1666086402268.png","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\u003Cp> \u003C\u002Fp>\u003Ciframe class=\"ql-video\" frameborder=\"0\" allowfullscreen=\"true\" src=\"https:\u002F\u002Fwww.youtube.com\u002Fembed\u002F1mXy0oi8d60\" height=\"315\" width=\"560\">\u003C\u002Fiframe>\u003Ch6>\u003Cbr>\u003C\u002Fh6>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>On Jan. 5, Mobileye CEO Prof. Amnon Shashua explained how the company will deliver economically viable consumer autonomous vehicles (AV) to the world. He unveiled new chip technology, shared progress on radar and lidar technology, and, for the first time, disclosed details about Mobileye’s approach to enabling fully autonomous solutions across vehicle types and use cases around the globe. During the 2022 “Under the Hood” session, Shashua showed how Mobileye is rewriting the AV playbook.\u003C\u002Fp>\u003Cp>\u003Cstrong>Presentation Deck: \u003C\u002Fstrong> \u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcommon\u002Ffiles\u002FMobileye-CES-2022-UnderTheHood+%28compressed%291.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">Mobileye’s ‘Under the Hood’\u003C\u002Fa>\u003C\u002Fp>","2022-01-05T19:00:00.000Z",[122,128,141,156],{"id":1519,"type":142,"url":1520,"title":1521,"description":1522,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1522,"image":1523,"img_alt":1522,"content":1524,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":177,"publish_date":1525,"tags":1526},138,"zeekr-mobileye-working-together","CES: Mobileye, Zeekr Collaborate on Consumer AV","Together, Mobileye and Zeekr aim to deliver the world’s first consumer autonomous vehicle with L4 capabilities by 2024.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F47789c8048ca30177d73a102a43886c2_1666086631415.png","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\u003Cp>LAS VEGAS, Jan. 4, 2022 — Mobileye, an Intel company, and Zeekr, the global premium electric mobility technology brand from Geely Holding Group, today announced plans to expand their strategic technology partnership with the goal of developing a new all-electric consumer vehicle with \u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcommon\u002Ffiles\u002FMobileye-Drive-Fact-Sheet-675839.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">Level 4 (L4) capabilities\u003C\u002Fa>.\u003C\u002Fp>\u003Cp>The planned autonomous vehicle (AV) will be powered by six EyeQ®5 system-on-chips to process Mobileye True Redundancy™ sensing, Responsibility-Sensitive Safety (RSS)-based driving policy and a new open collaboration model on Road Experience Management™ (REM™) mapping technology. The vehicle will utilize Geely SEA architecture’s redundant braking, steering and power, under an “open EyeQ” concept that allows efficient integration with Zeekr software technologies. In addition, Mobileye will enhance its China-related research and development capabilities, establishing a local data center and enhancing its local teams to support its rapidly growing China activities.\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>“The broadening scope of our partnership reflects just how closely Mobileye and Zeekr are aligned on the vision for future mobility,” said Prof. Amnon Shashua, Mobileye president and chief executive officer. “Zeekr’s confidence in Mobileye as a technology partner demonstrates our ability to execute toward joint goals and further solidify our industry leadership.”  \u003C\u002Fp>\u003Cp>With an anticipated debut in China in 2024, the new all-electric Zeekr vehicle is expected to be the world’s first consumer AV with L4 autonomous capability. Built using \u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcommon\u002Ffiles\u002FMobileye-Drive-Fact-Sheet-675839.pdf\" rel=\"noopener noreferrer\" target=\"_blank\">Mobileye Drive™\u003C\u002Fa> technology, together with the open SEA architecture, and expanding on Zeekr’s existing models, this new vehicle is expected to eventually roll out across global markets.\u003C\u002Fp>\u003Cp>Mobileye and Zeekr’s new collaboration expands on the companies’ long-term strategic technology partnership, which includes the development of advanced ADAS (advanced driver-assistance systems) with enhanced capabilities for a variety of Zeekr models. The joint efforts are supported by open collaboration with technologies including REM, as Mobileye and Zeekr work toward achieving a safer and more sophisticated future on the roads.  \u003C\u002Fp>\u003Cp>“Mobileye has been a strategic partner to our mission of delivering lifestyle vehicles fit for a more sustainable and autonomous future of transportation,” said Andy An, CEO of Zeekr Intelligent Technology. “Our partnership supports Zeekr and Mobileye’s shared ambitions for leading the global ADAS and AV industry. Zeekr welcomes open collaboration that enables the integration of technological expertise to create a more sophisticated autonomous mobility experience for our customers.”\u003C\u002Fp>\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Mobileye is a global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Mobileye’s technology helps keep passengers safer on the road, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Mobileye’s proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye’s products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a Mobileye Roadbook™ of localized drivable paths and visual landmarks using REM™, and provide mapping for autonomous driving.\u003C\u002Fp>\u003Cp>\u003Cstrong>About ZEEKR\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Zeekr is the global premium electric mobility technology brand from Geely Holding Group. Zeekr aims to create a fully integrated user ecosystem with innovation as standard. The brand utilizes Sustainable Experience Architecture (SEA) and includes its own battery technologies, battery management systems, electric motor technologies and electric vehicle supply chain. Zeekr’s value is equality, diversity, and sustainability. Its ambition is to become a true mobility solution’s provider. Zeekr began delivery of its first product, Zeekr 001, in October 2021. It will launch at least two new model offerings each year to satisfy the rapidly expanding global EV industry. For more information regarding Zeekr, please refer to the official website at \u003Ca href=\"http:\u002F\u002Fwww.zgh.com\u002F\" rel=\"noopener noreferrer\" target=\"_blank\">https:\u002F\u002Fzeekrlife.com\u002F\u003C\u002Fa>\u003C\u002Fp>\u003Cp>\u003Cstrong>Forward-looking statements:\u003C\u002Fstrong>\u003C\u002Fp>\u003Cp>Statements in this press release that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “goals,” “plans,” “believes,” “seeks,” “estimates,” “continues,” “may,” “will,” “would,” “should,” “could,” and variations of such words and similar expressions are intended to identify such forward-looking statements. Statements that refer to or are based on estimates, forecasts, projections, uncertain events or assumptions, including statements relating to future products and technology and the availability and benefits of such products and technology, expectations regarding customers, market opportunity, and anticipated trends in our businesses or the markets relevant to them, also identify forward-looking statements. Such statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in these forward-looking statements. Important factors that could cause actual results to differ materially are set forth in Intel’s SEC filings, including the company’s most recent reports on Forms 10-K and 10-Q, which may be obtained by visiting our Investor Relations website at www.intc.com or the SEC’s website at www.sec.gov. Intel does not undertake, and expressly disclaims any duty to update any statement made in this press release, whether as a result of new information, new developments or otherwise, except to the extent that disclosure may be required by law.\u003C\u002Fp>","2022-01-04T15:00:00.000Z",[65,141],{"id":1528,"type":142,"url":1529,"title":1530,"description":1531,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1531,"image":1532,"img_alt":1531,"content":1533,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":177,"publish_date":1534,"tags":1535},137,"mobileye-ces-2022-partner-news","CES: Top Automakers Double-Down on Mobileye","Volkswagen Group applies mapping tech to ADAS, while Ford and Zeekr announce new Mobileye-based production programs.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa2c08f07a26bc294caf4eb0e7a29870b_1666087124855.png","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>News Highlights\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cul>\n\u003Cli>Mobileye is joined by VW, Ford and Zeekr at CES 2022 to announce new programs based on Mobileye’s mapping, advanced driver-assistance systems (ADAS) and autonomous vehicle (AV) tech.\u003C\u002Fli>\n\u003Cli>With Travel Assist 2.5, Volkswagen Group leverages Mobileye’s crowd-sourced mapping technology to enhance ADAS comfort features like lane-keeping\u002Fcentering in VW, Škoda and Seat brand vehicles.\u003C\u002Fli>\n\u003Cli>Mobileye’s long-standing relationship with Ford deepens into strategic collaboration to add Road Experience Management™ (REM™) mapping technology to a future version of Ford BlueCruise and bring Level 2-plus (L2+) hands-free ADAS solutions across multiple makes and models.\u003C\u002Fli>\n\u003Cli>Mobileye and Zeekr, the global premium electric mobility technology brand from Geely Holding Group, announce plans to offer consumers an all-electric self-driving vehicle powered by Mobileye Drive™ by 2024.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>LAS VEGAS, Jan. 4, 2022 — During an Intel news conference today, Intel subsidiary Mobileye revealed multiple new strategic collaborations designed to transform driver and passenger experiences globally. Deals with Volkswagen Group, Ford and Zeekr were brought to light to illustrate the breadth and innovation of Mobileye’s ADAS-to-AV technology. Mobileye also revealed its \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-ces-2022-tech-news\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">EyeQ® Ultra – Mobileye's first AV-on-chip\u003C\u002Fa> (AVoC) purpose-built for \u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fdev\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fbe013ffc23e3d75babbda0ed4a5019ea_1663241548611.jpg\" target=\"_blank\" rel=\"noopener noreferrer\">Level 4\u003C\u002Fa> self-driving vehicles.\u003C\u002Fp>\n\u003Cp>“Our customers are demonstrating that innovation is at the center of their future strategies and leaning on Mobileye to help execute their visions,” said Prof. Amnon Shashua, Mobileye president and chief executive officer. “As a trusted collaborator, Mobileye is firing on all cylinders to deliver scalable ADAS-to-AV solutions that exceed the expectations of our customers and, at the same time, push the industry forward. We’re grateful for our ongoing collaborations and look forward to setting more new industry standards together.”\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>The new deals and programs revealed include:\u003C\u002Fp>\n\u003Cul>\n\u003Cli>\u003Cstrong>First global application of “swarm data” for ADAS:  \u003C\u002Fstrong>Volkswagen Group is the first original equipment manufacturer (OEM) to apply Mobileye’s mapping data to enhance the comfort and safety of ADAS features globally. Mobileye Roadbook™ is a crowd-sourced, cloud-generated database of highly precise, high-definition maps. Swarm data is collected via Mobileye-equipped vehicles globally, and VW is now using that data to greatly enhance the driver experience via Travel Assist 2.5. For example, where available, lane-keeping assistance will be provided in many areas without visible lane markings. Mobileye’s proprietary \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Ftechnology\u002Frem\u002F\" target=\"_blank\" rel=\"noopener\">Road Experience Management\u003C\u002Fa> technology automatically aggregates and generates AV maps in the cloud, delivering a truly global and scalable mapping solution for automated vehicles. The Roadbook-enhanced Travel Assist feature will be available soon in Volkswagen, Škoda and Seat electric vehicle (EV) models based on Volkswagen’s MEB platform.\u003C\u002Fli>\n\u003Cli>Prof. Shashua and Dr. Herbert Diess, chairman of the board for Volkswagen Group, recently tested Volkswagen’s new Mobileye-enabled Travel Assist features in an ID.4 vehicle in Munich. During the test drive, Diess observed several advantages to using REM technology for the advanced features. “It's a clear advantage of using real driving data over maps … everything works well, and the car is basically following this car without any intervention from my side,” he said.\u003C\u002Fli>\n\u003Cli>\u003Cstrong>Ford and Mobileye deepen long-standing relationship: \u003C\u002Fstrong> Ford and Mobileye have announced plans to expand their strategic partnership. For example, Ford will begin using Mobileye’s REM – or Road Experience Management technology – in future versions of the Ford BlueCruise system, which allows customers to operate their vehicles hands-free while monitored by a driver-facing camera that makes sure customers are keeping their eyes on the road. The additional collaboration uses Mobileye’s REM to expand true hands-free driving to include qualified divided highways and areas without visible lane markings, thanks to even better lane-centering and lane-keeping technology. The companies also are working together on an open platform from Mobileye that will allow Ford to build and integrate Ford’s own solutions to make driving in the future safer and easier.\u003C\u002Fli>\n\u003Cli>“Ford has been delivering new vehicle technologies that make driving safer and easier for more than a century,” Ford president and CEO Jim Farley said. “We are excited to work with Mobileye on a platform that supports our development of next-generation autonomy technologies. Our investment in these capabilities will allow us to transform our customers’ transportation experiences.” \u003C\u002Fli>\n\u003Cli>\u003Cstrong>First consumer AV built on Mobileye Drive tech: \u003C\u002Fstrong>Mobileye and Zeekr, the global premium electric mobility technology brand from Geely Holding Group, will further \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-zeekr-expand-future-cars-partnership\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">expand their partnership\u003C\u002Fa> by building a new all-electric vehicle with L4 capabilities enabled by Mobileye True Redundancy™ sensing, REM mapping technology and Responsibility-Sensitive Safety (RSS)-based driving policy along with Geely SEA architecture’s true-redundant braking, steering and power under an Open EyeQ concept that allows seamless integration between Mobileye and Zeekr technologies. It is believed to be the world’s first L4 vehicle for consumers. The vehicle’s consumer debut is expected by 2024 in China, with a global rollout to follow.\u003C\u002Fli>\n\u003Cli>“Mobileye has been a strategic partner to our mission of delivering lifestyle vehicles fit for a more sustainable and autonomous future of transportation,” said Andy An, CEO of Zeekr Intelligent Technology. “Our partnership supports Zeekr and Mobileye’s shared ambitions for leading the global ADAS and AV industry. Zeekr welcomes open collaboration that enables the integration of technological expertise to create a more sophisticated autonomous mobility experience for our customers.”  \u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>Also unveiled at the news conference was the \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fudelv-unveils-autonomous-cab-less-transporter\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Udelv Transporter, a purpose-built autonomous delivery vehicle\u003C\u002Fa> powered by Mobileye Drive. As \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fmobileye-udelv-deal-autonomous-delivery\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">announced\u003C\u002Fa> last year, Udelv plans to produce more than 35,000 Mobileye-driven Transporters by 2028, with commercial operations beginning in 2023.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Find out More\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Interested in learning more about Mobileye’s proprietary technology and partnerships? Join Mobileye CEO Amnon Shashua at 11:30 a.m. PST, Wednesday, Jan. 5, for an in-depth technology update, featuring more information about Mobileye’s novel AV-on-chip technology, next steps for the company’s key OEM partnerships and more. Find the full session on the Intel Newsroom\u003Ca href=\"https:\u002F\u002Fwww.intel.com\u002Fcontent\u002Fwww\u002Fus\u002Fen\u002Fnewsroom\u002Fnews\u002F2022-ces-mobileye-event-livestream-replay.html\" target=\"_blank\" rel=\"noopener noreferrer\">.\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye is the global leader in the development of computer vision and machine learning, data analysis, localization and mapping for Advanced Driver Assistance Systems and autonomous driving. Mobileye’s technology helps keep passengers safer on the roads, reduces the risks of traffic accidents, saves lives and has the potential to revolutionize the driving experience by enabling autonomous driving. Mobileye’s proprietary software algorithms and EyeQ® chips perform detailed interpretations of the visual field in order to anticipate possible collisions with other vehicles, pedestrians, cyclists, animals, debris and other obstacles. Mobileye’s products are also able to detect roadway markings such as lanes, road boundaries, barriers and similar items; identify and read traffic signs, directional signs and traffic lights; create a Mobileye Roadbook™ of localized drivable paths and visual landmarks using REM™; and provide mapping for autonomous driving.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Forward-Looking Statements\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Statements in this press release that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “goals,” “plans,” “believes,” “seeks,” “estimates,” “continues,” “may,” “will,” “would,” “should,” “could,” and variations of such words and similar expressions are intended to identify such forward-looking statements. Statements that refer to or are based on estimates, forecasts, projections, uncertain events or assumptions, including statements relating to future products and technology and the availability and benefits of such products and technology, expectations regarding customers, market opportunity, and anticipated trends in our businesses or the markets relevant to them, also identify forward-looking statements. Such statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in these forward-looking statements. Important factors that could cause actual results to differ materially are set forth in Intel’s SEC filings, including the company’s most recent reports on Forms 10-K and 10-Q, which may be obtained by visiting our Investor Relations website at www.intc.com or the SEC’s website at www.sec.gov. Intel does not undertake, and expressly disclaims any duty, to update any statement made in this press release, whether as a result of new information, new developments or otherwise, except to the extent that disclosure may be required by law.\u003C\u002Fp>","2022-01-04T08:00:00.000Z",[141,57,122],{"id":1537,"type":142,"url":1538,"title":1539,"description":1540,"primary_tag":64,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1540,"image":1541,"img_alt":1540,"content":1542,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":177,"publish_date":1534,"tags":1543},158,"mobileye-ces-2022-tech-news","New Mobileye EyeQ Ultra will Enable Consumer AVs","Single-package design will deliver industry’s leanest, most performance-power efficient SoC for fully autonomous vehicles.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F7c1fa9c5ea5f33d9ada1c5a32c390ea4_1666087048027.png","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cstrong>NEWS HIGHLIGHTS\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cul>\n\u003Cli>Mobileye introduces EyeQ® Ultra™ – a single package AV-on-chip super-computer that is purpose-built for end-to-end autonomous driving.\u003C\u002Fli>\n\u003Cli>Proven Mobileye EyeQ® architecture underpins EyeQ Ultra, maximizing performance and efficiency at 176 TOPS (tera operations per second).\u003C\u002Fli>\n\u003Cli>First silicon for the EyeQ Ultra is expected in late 2023 with full automotive-grade production in 2025.\u003C\u002Fli>\n\u003Cli>Mobileye also introduces the next-generation EyeQ system-on-chip (SoC) for advanced driver-assistance systems (ADAS): EyeQ6L and EyeQ6H.\u003C\u002Fli>\n\u003C\u002Ful>\n\u003Cp>LAS VEGAS, Jan. 4, 2022 – Mobileye today introduced the EyeQ® Ultra™, the company’s most advanced, highest performing system-on-chip (SoC) purpose-built for autonomous driving. As unveiled during CES 2022, EyeQ Ultra maximizes both effectiveness and efficiency at only 176 TOPS, making it the industry’s leanest autonomous vehicle (AV) chip. This efficiently designed SoC builds on seven generations of proven EyeQ architecture to deliver exactly the power and performance needed for AVs, which are all but certain to be all-electric vehicles.\u003C\u002Fp>\n\u003Cp>First silicon for the EyeQ Ultra SoC is expected at the end of 2023, with full automotive-grade production in 2025.  \u003C\u002Fp>\n\u003Cp>“Consumer AV is the end game for the industry,” said Prof. Amnon Shashua, Mobileye president and chief executive officer. “By developing the entire self-driving solution – from hardware and software to mapping and service models – Mobileye has a unique perspective into the exact requirements for the self-driving system that enables us to reach the performance-and-cost optimization that will make consumer AVs a reality.” \u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>Mobileye designed the EyeQ Ultra after having first built an AV to understand exactly what a self-driving vehicle needs to operate at a very high meantime between failures. This approach enables the optimum balance of performance across different accelerators and general-purpose processors in an extremely efficient power-performance envelope.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Delivering Unmatched Cost-to-Performance\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Marking a leap in the evolution of the EyeQ family of SoCs, EyeQ Ultra packs the performance of 10 EyeQ5s in a single package. Leveraging 5 nanometer process technology, EyeQ Ultra can handle all the needs and applications of Level 4 (L4) autonomous driving without the power consumption and costs related to integrating multiple SoCs together. Like its EyeQ predecessors, EyeQ Ultra has been engineered in tandem with Mobileye software, enabling extreme power efficiency with zero performance sacrifices.\u003C\u002Fp>\n\u003Cp>EyeQ Ultra utilizes an array of four classes of proprietary accelerators, each built for a specific task. These accelerators are paired with additional CPU cores, ISPs and GPUs in a highly efficient solution capable of processing input from two sensing subsystems – one camera-only system and the other radar and lidar combined – as well as the vehicle’s central computing system, the high-definition map and driving policy software. At a mere 176 TOPS, the EyeQ Ultra is much more efficient than other AV solutions, delivering the necessary performance and price-point required for consumer-level AVs.\u003C\u002Fp>\n\u003Cp>By optimizing for efficiency, EyeQ Ultra unlocks the AV potential for safer roads and reduced congestion for consumers.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Evolution of the EyeQ Architecture\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>The introduction of EyeQ Ultra comes at the same time as two new EyeQ SoCs for ADAS – the EyeQ6L and EyeQ6H – and follows the shipment of Mobileye’s \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002F100-million-eyeq-chips\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">100 millionth EyeQ\u003C\u002Fa> SoC late last year. First introduced in 2004, Mobileye’s EyeQ transformed the ADAS market by proving that cost-effective camera sensors processed by Mobileye’s purpose-built technology were capable of preventing and mitigating collisions. The innovation of EyeQ helped make roadway safety technology more accessible, bringing features including forward-collision warning, lane departure warning and blind spot detection to millions of drivers around the world.\u003C\u002Fp>\n\u003Cp>Mobileye’s proven EyeQ architecture lays the foundation for EyeQ Ultra. Designed to make consumer AVs accessible, EyeQ Ultra fills a void in the automotive market as the EyeQ family of SoCs has done before it. As an extension of the EyeQ family, EyeQ Ultra will also be informed by Mobileye’s Road Experience Management™ (REM) mapping technology. Gathered via millions of vehicles on the road already equipped with Mobileye, REM captures packages of road data to create the Mobileye Roadbook™, which is accessed via the cloud to provide, in real time, up-to-date information on the drivable paths ahead. \u003C\u002Fp>\n\u003Cp>\u003Cstrong>Two New EyeQ SoCs for Next-Generation ADAS\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>The EyeQ6L will be the successor to the EyeQ4 SoC in a package that is just 55 percent the size of the EyeQ4. This one-box windshield solution delivers more deep-learning TOPS at ultra-low power for highly efficient entry and premium (L2) ADAS. It began sampling last year and is due to reach start of production by the middle of 2023.\u003C\u002Fp>\n\u003Cp>The EyeQ6H will support premium ADAS or partial AV capabilities with full surround. It is equivalent to two EyeQ5 SoCs in terms of computing power but more importantly supports visualization and performs better under heavy artificial intelligence workloads. This centralized solution will provide all ADAS L2+ functionalities, multi-camera processing (including parking cameras), and will host third-party apps such as parking visualization and driver monitoring. This most advanced ADAS SoC in the EyeQ family will begin sampling this year and is due to begin production by the end of 2024.\u003C\u002Fp>\n\u003Cp>Both EyeQ6 SoCs will be manufactured on 7nm process technology.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>More Context\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>As Mobileye continues to execute its plan to enable autonomous driving, the versatility and scalability of the company’s portfolio comes into view. Mobileye recently shipped its \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002F100-million-eyeq-chips\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">100 millionth EyeQ SoC\u003C\u002Fa>, unveiled its production robotaxi, and \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fpress-kit\u002Fpress-kit-mobileye-new-york-city\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">scaled its autonomous vehicle testing\u003C\u002Fa> across multiple cities around the world including in the U.S., Europe and Asia.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>About Mobileye\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Mobileye is leading the mobility revolution with its autonomous driving and driver-assist technologies, harnessing world-renowned expertise in computer vision, machine learning, mapping and data analysis. Our technology enables self-driving vehicles and mobility solutions, powers industry-leading advanced driver-assistance systems and delivers valuable intelligence to optimize mobility infrastructure. Mobileye pioneered such groundbreaking technologies as True Redundancy™ sensing, REM™ crowdsourced mapping, and Responsibility Sensitive Safety (RSS) technologies that are driving the ADAS and AV fields toward the future of mobility.\u003C\u002Fp>\n\u003Cp>For more information: \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002F\" target=\"_blank\" rel=\"noopener\">www.mobileye.com\u003C\u002Fa>.\u003C\u002Fp>\n\u003Cp>\u003Cstrong>Forward-Looking Statements\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Statements in this press release that refer to future plans and expectations are forward-looking statements that involve a number of risks and uncertainties. Words such as “anticipates,” “expects,” “intends,” “goals,” “plans,” “believes,” “seeks,” “estimates,” “continues,” “may,” “will,” “would,” “should,” “could,” and variations of such words and similar expressions are intended to identify such forward-looking statements. Statements that refer to or are based on estimates, forecasts, projections, uncertain events or assumptions, including statements relating to future products and technology and the availability and benefits of such products and technology, expectations regarding customers, market opportunity, and anticipated trends in our businesses or the markets relevant to them, also identify forward-looking statements. Such statements are based on current expectations and involve many risks and uncertainties that could cause actual results to differ materially from those expressed or implied in these forward-looking statements. Important factors that could cause actual results to differ materially are set forth in Intel’s SEC filings, including the company’s most recent reports on Forms 10-K and 10-Q, which may be obtained by visiting our Investor Relations website at www.intc.com or the SEC’s website at www.sec.gov. Intel does not undertake, and expressly disclaims any duty, to update any statement made in this press release, whether as a result of new information, new developments or otherwise, except to the extent that disclosure may be required by law.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>[**]gallery:mobileye-ces-2022-tech-news-gallery-1[**]\u003C\u002Fp>",[65,141],{"id":1545,"type":142,"url":1546,"title":1547,"description":1548,"primary_tag":140,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1548,"image":1549,"img_alt":1550,"content":1551,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":177,"publish_date":1552,"tags":1553},139,"udelv-unveils-autonomous-cab-less-transporter","CES: Udelv Unveils Mobileye-Powered AV Transporter","The autonomous, electric delivery vehicle will help solve two challenges: a shortage of drivers and fleet electrification.","https:\u002F\u002Fstatic.mobileye.com\u002Fdev\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F99b4ba3c8b8edab1262fc170ae397979_1663142139761.jpg","Udelv  aims to have 50,000 units of the Transporter, driven by Mobileye, on public roads by 2028.","\u003Cp>\u003Cem>This news content was originally published on the Intel Corporation Newsroom.\u003C\u002Fem>\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>​Today, Udelv unveiled its Transporter – the company’s next-generation autonomous delivery vehicle driven by Mobileye Drive™ – in advance of this week’s International Consumer Electronics Show 2022 in Las Vegas. The cab-less Transporter is designed for commercial delivery fleets and is expected to help solve two of the most pressing challenges facing commercial fleets: the current shortage of drivers and the coming electrification of fleets.\u003C\u002Fp>\u003Cp>The Mobileye Drive self-driving system is powered by the Mobileye EyeQ® 5 system-on-chip for automotive applications and a robust suite of cameras, lidars and radars. To enable Udelv to rapidly deploy the Transporter at scale, the company has also integrated Mobileye’s Road Experience Management™,  a crowdsourced, continuously updated map of the world that digitizes what autonomous vehicles need to navigate.\u003C\u002Fp>\u003Cp>The Transporter features a patented cargo space that is secure, automated, hot-swappable and modular. It is specifically designed for autonomous delivery and can carry up to 2,000 pounds of cargo and make up to 80 stops per run. It is made to deliver nearly anything from convenience goods, e-commerce packages and groceries to auto parts, electronics and medical supplies for B2B and B2C applications.\u003C\u002Fp>\u003Cp>\u003Cbr>\u003C\u002Fp>\u003Cp>[**]gallery:udelv-unveils-autonomous-cab-less-transporter-gallery-1[**]\u003C\u002Fp>","2022-01-03T13:00:00.000Z",[65,141],{"id":1555,"type":142,"url":1556,"title":1557,"description":1558,"primary_tag":121,"author_name":177,"is_hidden":47,"lang":173,"meta_description":1558,"image":1559,"img_alt":1560,"content":1561,"download_doc":177,"download_title":177,"download_btn":177,"webinar_video":177,"thumbnail":177,"is_gated":177,"featured":47,"publish_date":1562,"tags":1563},114,"ces-2022-livestream-press-conference-schedule","Join Us Online at CES 2022","Tune in to discover our latest technologies and the vehicles they’re driving during this year’s big tech expo.","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fa080dcf90f7e1d02e265ca22ae8a27b9_1641241664118.png","Mobileye at CES 2022","\u003Cp>For all its ups and downs, \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002F100-million-eyeq-chips\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">2021 was a big year for Mobileye\u003C\u002Fa>. Now 2022 is upon us, and we’re starting it out in full force at CES.\u003C\u002Fp>\n\u003Cp>We’ve had to switch to an exclusively virtual presence for this year’s big tech expo. But that won’t stop us from bringing you all the latest from Mobileye and all that we’re doing to proliferate our self-driving technology everywhere, in every way, for everyone. Here’s where you can tune in for our live sessions.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F162c82846c38a36933c165f66a256779_1641222790699.png\" alt=\"Intel Executive Vice President Gregory Bryant and Mobileye CEO Prof. Amnon Shashua\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>“On the Road to the Future”\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>\u003Cstrong> Intel Press Conference with Gregory Bryant and Prof. Amnon Shashua\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Tuesday, January 4, 2022, 10 a.m. PST | Watch live at \u003Ca href=\"https:\u002F\u002Fwww.intel.com\u002Fces\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">intel.com\u002Fces\u003C\u002Fa>\u003C\u002Fp>\n\u003Cp>Join \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fnews\u002Fintel-ceo-pat-gelsinger-visits-mobileye-israel\u002F\" target=\"_blank\" rel=\"noopener\">Intel senior leaders\u003C\u002Fa> as they share new developments in two of Intel’s most important businesses: personal computing and automated driving. Gregory Bryant, executive vice president and general manager of Intel’s Client Computing Group, and Prof. Amnon Shashua, Mobileye CEO, will share the stage with several guest executives whose companies, working with Intel, are leading digital transformation and computing growth across two of today’s fastest-growing sectors.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F96cf0297aa42d3b5a6d0b73a6bc0162a_1641222844022.jpg\" alt=\"Mobileye CEO Prof. Amnon Shashua speaks at CES\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>“Under the Hood” with Prof. Amnon Shashua\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>Wednesday, January 5, 2022, 11:30 a.m. PST\u003C\u002Fp>\n\u003Cp>Join \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fmobileye-ces-2021-recap\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Mobileye CEO Prof. Amnon Shashua\u003C\u002Fa> as he explains how the company will deliver economically viable consumer autonomous vehicles (AV) to the world. He will unveil new chip technology, share progress on radar and lidar technology, and, for the first time, disclose details about Mobileye’s approach to enabling fully autonomous solutions across vehicle types and use cases around the globe. The 2022 “Under the Hood” session is not to be missed, as Shashua shows how Mobileye is rewriting the AV game.\u003C\u002Fp>\n\u003Cp> \u003C\u002Fp>\n\u003Cp>\u003Cimg src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002F5ad566a659a71e6568a0822a05ee2cd1_1641222918906.jpg\" alt=\"Mobileye Robotaxi in Jerusalem\" \u002F>\u003C\u002Fp>\n\u003Cp>\u003Cstrong>But that’s not all...\u003C\u002Fstrong>\u003C\u002Fp>\n\u003Cp>During CES, we’ll be demonstrating a broad spectrum of Mobileye technologies and how they’re being implemented across the industry.\u003C\u002Fp>","2022-01-03T08:00:00.000Z",[122,141],1784714284007]