[{"data":1,"prerenderedAt":214},["ShallowReactive",2],{"blog-post-takeaways-from-the-mobileye-press-conference-with-ceo-prof-amnon-shashua-at-ces-2026":3,"blog-featured-takeaways-from-the-mobileye-press-conference-with-ceo-prof-amnon-shashua-at-ces-2026":22,"header-links":58,"corporate-footer":145,"footer-year":213},[4],{"id":5,"type":6,"lang":7,"primary_tag":8,"url":9,"title":10,"short_title":11,"subtitle":11,"description":12,"meta_description":12,"image":13,"img_alt":14,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":15,"publish_date":16,"featured":17,"is_gated":18,"is_infographic":11,"is_hidden":18,"is_active":19,"tags":20,"updated_at":21},315,"blog","en","Amnon Shashua","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",null,"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&trade;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&trade;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&trade;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&rdquo;运动脱离|需注视&rdquo;的驾驶体验。\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;: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&trade;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&nbsp;\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&ldquo;幻觉&rdquo;问题、安全验证保障、以及大规模训练需求等。&nbsp;\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&ldquo;快思考与慢思考&rdquo;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>&ldquo;快思考与慢思考&rdquo;决策双系统\u003C\u002Fstrong>\u003C\u002Fh3>\n\u003Cp>\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:257}\">这一架构的核心在于从&ldquo;快思考&rdquo;和&ldquo;慢思考&rdquo;两个维度看待驾驶任务：快思考系统负责高频率的&ldquo;反射式&rdquo;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=\"{&quot;201341983&quot;:0,&quot;335559740&quot;: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=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559740&quot;:257,&quot;335559991&quot;: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。&nbsp;\u003C\u002Fp>\n\u003Cp>\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fces_2026_slide28.mp4\">\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559685&quot;:720,&quot;335559740&quot;:257,&quot;335559991&quot;: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&ldquo;需注视&rdquo;到&ldquo;注意力脱离&rdquo;：ADAS、自动驾驶与机器人技术的未来&nbsp;\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&ldquo;智能安全扩展&rdquo;展开。\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;:257}\">目前应用于高端消费级汽车的L2++&ldquo;驾驶员运动脱离|需注视&rdquo;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&ldquo;视觉脱离&rdquo;向L4&ldquo;注意力脱离&rdquo;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&ldquo;视觉脱离&rdquo;到&ldquo;注意力脱离&rdquo;的跨越，人工干预频率将降至足以支撑大规模部署的水平。&nbsp;&nbsp;\u003C\u002Fp>\n\u003Cp>\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559740&quot;: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。&nbsp;\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>","2026-01-10T06:00:00.000Z",0,false,true,[8],"2026-08-04T08:00:37.472Z",[23,36,47],{"id":24,"type":25,"lang":7,"primary_tag":26,"url":27,"title":28,"short_title":11,"subtitle":11,"description":29,"meta_description":29,"image":30,"img_alt":31,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":32,"publish_date":33,"featured":34,"is_gated":18,"is_infographic":11,"is_hidden":18,"is_active":19,"tags":35,"updated_at":21},329,"news","Autonomous Driving","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> &mdash; 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 &mdash;&mdash; 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：&ldquo;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。&rdquo;\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。&rdquo;\u003C\u002Fp>\n\u003Cp>Amnon Shashua教授补充道：&ldquo;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。&rdquo;\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&trade; crowdsourced road intelligence, Imaging Radar and Compound AI. These technologies drive the ADAS and AV fields towards the future of mobility &ndash; 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&rsquo;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>&ldquo;Mobileye,&rdquo; 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&rsquo;s expansion into a full ownership of an autonomous ride-hailing business, and the impact and potential benefits to Mobileye&rsquo;s business. These statements often include words such as &ldquo;anticipate,&rdquo; &ldquo;expect,&rdquo; &ldquo;suggests,&rdquo; &ldquo;plan,&rdquo; &ldquo;believe,&rdquo; &ldquo;intend,&rdquo; &ldquo;estimates,&rdquo; &ldquo;targets,&rdquo; &ldquo;projects,&rdquo; &ldquo;should,&rdquo; &ldquo;could,&rdquo; &ldquo;would,&rdquo; &ldquo;may,&rdquo; &ldquo;will,&rdquo; &ldquo;forecast,&rdquo; 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&rsquo;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&rsquo;s business and results is included in Mobileye&rsquo;s SEC filings, including the company&rsquo;s Annual Report on Form 10-K for the year ended December 27, 2025, particularly in the section entitled &ldquo;Item 1A. Risk Factors&rdquo;. 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&rsquo;s website at \u003Ca href=\"http:\u002F\u002Fwww.sec.gov\" target=\"_blank\" rel=\"noopener noreferrer\">www.sec.gov\u003C\u002Fa>.\u003C\u002Fh6>\n\u003Cp>&nbsp;\u003C\u002Fp>","2026-06-16T04:00:00.000Z",1,"News, Amnon Shashua, Driverless MaaS, Industry, Autonomous Driving",{"id":37,"type":25,"lang":7,"primary_tag":38,"url":39,"title":40,"short_title":11,"subtitle":11,"description":41,"meta_description":41,"image":42,"img_alt":43,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":44,"publish_date":45,"featured":34,"is_gated":18,"is_infographic":11,"is_hidden":18,"is_active":19,"tags":46,"updated_at":21},321,"News","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> &mdash; 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&trade;），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&trade;及环绕式ADAS&trade;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：&ldquo;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。&rdquo;\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>&nbsp;\u003C\u002Fp>\n\u003Cp>\u003Cstrong>\u003Cspan data-contrast=\"auto\">About Mobileye\u003C\u002Fspan>\u003C\u002Fstrong>\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">&nbsp;\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&nbsp;expertise&nbsp;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&trade; crowdsourced road intelligence, Imaging Radar and Compound AI. These technologies drive the ADAS and AV fields towards the future of mobility &ndash; 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&rsquo;s&nbsp;EyeQ&nbsp;technology inside, and in 2026 Mobileye&nbsp;acquired&nbsp;Mentee Robotics to pursue the future of physical AI and humanoid robots. Since 2022, Mobileye has been listed independently from Intel (Nasdaq: INTC), which&nbsp;retains&nbsp;majority ownership. For more information, visit&nbsp;\u003C\u002Fspan>\u003Ca href=\"https:\u002F\u002Fcts.businesswire.com\u002Fct\u002FCT?id=smartlink&amp;url=https%3A%2F%2Fwww.mobileye.com&amp;esheet=54421863&amp;newsitemid=20260210772101&amp;lan=en-US&amp;anchor=https%3A%2F%2Fwww.mobileye.com&amp;index=1&amp;md5=cfa04b95770b8044fedb93639c4fc56e\">\u003Cspan data-contrast=\"auto\">https:\u002F\u002Fwww.mobileye.com\u003C\u002Fspan>\u003C\u002Fa>\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">&nbsp;\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Mobileye's name, product names, product&nbsp;marks&nbsp;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=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">&nbsp;\u003C\u002Fspan>\u003C\u002Fp>\n\u003Cp>\u003Cspan data-contrast=\"auto\">Any reference to \"Mobileye\" in this document means Mobileye Vision Technologies Ltd., Mobileye Global&nbsp;Inc.&nbsp;or any of their subsidiaries.\u003C\u002Fspan>\u003Cspan data-ccp-props=\"{&quot;201341983&quot;:0,&quot;335559739&quot;:0,&quot;335559740&quot;:240}\">&nbsp;\u003C\u002Fspan>\u003C\u002Fp>","2026-03-23T05:00:00.000Z","ADAS",{"id":48,"type":6,"lang":7,"primary_tag":49,"url":50,"title":51,"short_title":11,"subtitle":11,"description":52,"meta_description":52,"image":53,"img_alt":54,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":55,"publish_date":56,"featured":34,"is_gated":18,"is_infographic":11,"is_hidden":18,"is_active":19,"tags":57,"updated_at":21},298,"Industry","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 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