[{"data":1,"prerenderedAt":290},["ShallowReactive",2],{"pageDataAbout":3,"header-links":142,"corporate-footer":222,"footer-year":289},{"id":4,"top_id":5,"slug":6,"menu_name":7,"data":8,"content":135,"title":136,"meta_description":137,"full_path":138,"template":139,"page_image":140,"to_index":36,"is_active":36,"updated_at":141,"unique_url":6},2,30,"about","About Us",{"page_name":6,"sections":9},{"about_hero":10,"main_carusel":14,"key_milestones":37,"leading_evoluiton":94,"making_av":97},{"img":11,"title":12,"text":13},"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fimg\u002Fhomepage2022\u002Fabout_header_img.png","愿景驱动","凭借领先的开创性核心技术、丰富的路测经验以及切实可行的未来愿景，Mobileye 正在推动全球迈向更智能、更安全的完全自动驾驶未来。",[15,23,29],{"id":16,"tab_title":17,"title":18,"text":19,"img":20,"video":21,"is_video":22},"1","开端","创立与早期管理层","Amnon Shashua 教授于1999年创立 Mobileye(摩安视智能科技(上海)有限公司)。当时，基于在耶路撒冷希伯来大学的学术研究成果，他开发了一套单目视觉系统，仅使用摄像头和处理器封装的软件算法来检测目标车辆。Shashua之前曾创立Cognitens公司，借此与汽车制造商建立联系，Shashua在此基础之上成立了Mobileye。在与某亚洲主机厂进行了一次关键会谈，并获得了打造一款概念样机的资金后，Shashua与两位密友Ziv Aviram和Norio Ichihashi组建了团队。新公司的管理工作由Shashua和Aviram共同进行，Aviram负责运营、财务和投资人关系，而Shashua负责技术、研发和产品战略部署。在两人的共同管理下，公司于2014年在纽约证券交易所上市。这种双人管理模式一直持续到Mobileye于2017年被英特尔收购。收购完成后，Aviram退休，Shashua接任首席执行官一职。在2001年之前，Ichihashi一直负责亚洲市场，这是Mobileye与主机厂、Tier1接触的最早市场。\u003Cbr \u002F>\u003Cbr \u002F>当时，在Shashua联合指导下获得麻省理工学院博士学位的Gideon Stein博士也受邀加入，领导Mobileye研发工作。Gaby Hayon博士在2005年接管了研发部门，至今依旧在职，而Stein之后直至2019年一直担任 Mobileye 的首席科学家。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fimg\u002Fhomepage2022\u002Fabout_carusel_1.png","",false,{"id":24,"tab_title":25,"title":26,"text":27,"img":28,"video":21,"is_video":22},"2","发展历程","EyeQ®的诞生","2001年，Mobileye的管理层意识到，为了发挥公司的全部潜力，需要设计一款完整的系统集成芯片，专门用于为计算机视觉软件堆栈运行提供大规模算力。当时，大多数公司都将重点放在硬件或软件上，并没有进行软硬件的协同设计。虽然有人认为这是一个相当激进甚至冒险的决定，但Mobileye的管理层认为，这对于实现公司的宏伟目标至关重要。为了应对这一挑战，Elchanan Rushinek加入管理层，亲自组建并领导了Mobileye的系统集成芯片设计团队。第一款系统集成芯片EyeQ1采用180纳米制程工艺打造，样片在2004年问世。如今，Rushinek仍在领导 Mobileye 工程部门，而EyeQ®芯片至今已经七代产品问世，累计出货量超过2亿颗。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fimg\u002Fhomepage2022\u002Fabout_carusel_2.png",{"id":30,"tab_title":31,"title":32,"text":33,"img":34,"video":35,"is_video":36},"3","大飞跃","从ADAS到高度自动驾驶再回到ADAS","公司成立之初，高级驾驶辅助系统（ADAS）市场还处于起步阶段。业界普遍认为，昂贵的雷达传感器是实现核心功能的必要配置，或者至少需要两个摄像头（立体视觉），利用传统的三角测量方法才能实现对距离和速度的检测。基于自己开创性的学术研究，Shashua证明关键的安全功能(如自动紧急制动（AEB))和几乎所有感知任务都可以使用单个摄像头（单目视觉）来实现。这些革命性的算法与安装在挡风玻璃上的高效定制EyeQ®系统集成芯片相结合，真正改变了行业的游戏规则，使ADAS进入大众市场成为可能。从那时起，Mobileye 开创了许多行业先河，率先推出了众多如今已非常普遍的基于视觉的ADAS功能。\u003Cbr \u002F>\u003Cbr \u002F>成为基于计算机视觉打造的ADAS方案的全球领导者之后，2013年，Mobileye 认识到，公司一直在开发的ADAS技术是开发完全自动驾驶汽车所需的关键组成部分，因此在高等级驾驶自动化领域开始深耕。彼时，Shashua的好友、同事及科研伙伴Shai Shalev-Shwartz教授全职加入Mobileye。2019年，Shalev-Shwartz成为Mobileye首席技术官，并担任该职位至今。\u003Cbr \u002F>\u003Cbr \u002F>从ADAS进化到AV不仅需要额外的传感器和更先进的算法，它还需要更好地解决整个行业面临的挑战——监管高等级驾驶自动化汽车的安全、为高等级驾驶自动化汽车建立能够广泛使用的智能路网、降低每辆车的硬件成本——这些都是Mobileye迎难而上，解决诸多行业挑战而成为行业先锋的领域。就高等级驾驶自动化汽车安全性方面，Shalev Shwartz和Shashua共同撰写了一篇开创性的研究论文，该论文介绍了一种新的形式模型，用于定义驾驶决策中何谓“安全”。该模型名为\u003Ca href='\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F'>“责任敏感安全”(RSS) \u003C\u002Fa>，已经陆续获得了各大行业和监管机构的认可。该模型以数学模型的形式定义了驾驶员在平衡安全和效用时可能做出的行为动作，同时还提供了规范操作保证机器不会引发事故。RSS还是构成Mobileye “驾驶策略”的核心，用 “意图的指令”，取代传统机器策略算法所依赖的预测-同时耗费大量计算资源，而我们的算法只需要一小部分芯片算力。\u003Cbr \u002F>\u003Cbr \u002F>此外，Mobileye\u003Ca href='\u002Ftechnology\u002Frem\u002F'>智能路网技术\u003C\u002Fa> – 利用Mobileye在计算机视觉方面的专长，打造了一套吸引力的解决方案：兼具成本效益和地域可扩展性。受限于当地法规，智能路网技术利用全球众多搭载Mobileye技术的车辆从道路上收集相关数据，以非常低的带宽将其传输至云端（受限于数据存储和数据出境的当地法规），并自动创建面向高等级驾驶自动化汽车使用的全球路网。\u003Cbr \u002F>\u003Cbr \u002F>自被英特尔收购以来，Mobileye经历了巨大增长。2017年3月，Mobileye拥有750多名员工，如今全职员工已经超过3000人。公司营收也从略高于3.5亿美元（2016年底）上升到2020年年底的近10亿美元。\u003Cbr \u002F>\u003Cbr \u002F>在开展重要的ADAS业务之外，我们还提供各种高等级汽车驾驶自动化出行解决方案。事实上，Mobileye 的 ADAS业务从一脉相承的高等级驾驶自动化深厚的研发经验中受益匪浅。值得一提的是，基于其计算机视觉专业知识，Mobileye制造了一款高阶辅助驾驶的汽车，可以仅靠摄像头来驾驶。当中的一套包括了11个摄像头的感知系统的解决方案叫做“SuperVision™”，现已在ADAS领域产品化落地，提供各种能够'驾驶员运动脱离'的高级驾驶辅助功能。首款搭载\u003Ca href='\u002Fsolutions\u002Fsuper-vision\u002F'>Mobileye SuperVision™\u003C\u002Fa>车辆来自吉利集团。通过这种方式，Mobileye从ADAS变革的领导者，成为引领ADAS向高等级驾驶自动化进化的创新者，提供了一系列成熟的解决方案，从基础的驾驶辅助到高级驾驶辅助，再到完全自动驾驶，Mobileye致力于每天为更多人提供更安全、更智能的出行方式。如欲查阅Mobileye的 ISO 9001证书，请点击\u003Ca href='https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fmedia\u002FISO_9001.2015_Certificate_2021-EN.pdf'>此处\u003C\u002Fa>。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fimg\u002Fhomepage2022\u002Fabout_carusel_3.png","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fvideos\u002Fhp_100m.mp4",true,{"title":38,"text":39,"milestones":40},"关键里程碑","Mobileye 通往完全自动驾驶未来之路的重要时刻",[41,44,48,53,57,61,65,70,74,80,84,90],{"id":42,"year":21,"text":21,"width":21,"container_width":43,"margin_left":21},"10","16.25",{"id":16,"year":45,"text":46,"width":24,"container_width":47,"margin_left":21},"1999年","Mobileye 成立","26.417",{"id":24,"year":49,"text":50,"width":30,"container_width":51,"margin_left":52},"2007年","第一颗EyeQ®芯片出货","29.333","4.5",{"id":30,"year":54,"text":55,"width":56,"container_width":51,"margin_left":56},"2012年","第100万颗EyeQ®芯片出货","4",{"id":56,"year":58,"text":59,"width":60,"container_width":51,"margin_left":60},"2014年","Mobileye 在纽交所上市\u003Cbr>市值53亿美元","5",{"id":60,"year":62,"text":63,"width":64,"container_width":51,"margin_left":60},"2015年","25家汽车制造商的160款车型\u003Cbr>搭载Mobileye技术","6",{"id":64,"year":66,"text":67,"width":68,"container_width":51,"margin_left":69},"2017年","Mobileye 被英特尔以153亿美元收购","7","8",{"id":68,"year":71,"text":72,"width":69,"container_width":73,"margin_left":42},"2018年","Mobileye 开启在全球的智能路网技术","31.333",{"id":69,"year":75,"text":76,"width":77,"container_width":78,"margin_left":79},"2021年","在三大洲开高等级驾驶自动化汽车路测","9","30","12",{"id":77,"year":75,"text":81,"width":42,"container_width":82,"margin_left":83},"EyeQ®芯片出货量突破1亿颗","31","14",{"id":85,"year":86,"text":87,"width":85,"container_width":88,"margin_left":89},"11","2022年","Mobileye 以167亿美元的估值\u003Cbr>再次在纳斯达克上市","27","16",{"id":79,"year":91,"text":92,"width":79,"container_width":82,"margin_left":93},"2024年","EyeQ™芯片出货量高达2亿颗","18",{"title":95,"video":96},"从挽救生命到改变出行方式","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fvideos\u002Fmobileye_100m_c2.mp4",{"title":98,"text":99,"btn_text":100,"btn_url":101,"carusel_items":102},"实现我们的愿景需要一支\u003Cbr>以价值观为驱动的团队","Our visionary mindset is always focused on the many ways the autonomous future can unfold. This is what Mobileye stands for.","加入我们！","https:\u002F\u002Fcareers.mobileye.com\u002F",[103,107,111,115,119,123,127,131],{"id":16,"icon":104,"title":105,"text":106},"saveLives","挽救生命","生命高于一切",{"id":24,"icon":108,"title":109,"text":110},"evolution_as_revolution","革新进化","一次又一次的创造自动驾驶未来",{"id":30,"icon":112,"title":113,"text":114},"now_next_future","当下.下一步.未来.","开拓进取，求真务实，着眼当下与未来",{"id":56,"icon":116,"title":117,"text":118},"care","体贴关爱","致力于实现无障碍出行，保护环境",{"id":60,"icon":120,"title":121,"text":122},"geek_proud_out","极客荣耀","利用我们的技术和解决方案，致力于解决最严峻的行业挑战",{"id":64,"icon":124,"title":125,"text":126},"live_the_dream","怀揣梦想 保持谦逊","我们正在创造全新的故事，低调务实，注重协作",{"id":68,"icon":128,"title":129,"text":130},"outside_the_bounding_box","突破框架","挑战看似不可能完成的任务，寻求方案，直至成功",{"id":69,"icon":132,"title":133,"text":134},"never_to_small","聚沙成塔","组织中每个成员的贡献，汇聚起来就能产生巨大的影响","\u003Cp>\u003Cstrong>Founding & Early Leadership\u003C\u002Fstrong>\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  Mobileye was founded in 1999, by Prof. Amnon Shashua, when he evolved his academic research at the Hebrew University\r\n  into a monocular vision system to detect vehicles using only a camera and software algorithms on a\r\n  processor. The inception of the company followed Shashua’s connections with the auto manufacturers through\r\n  his previous startup Cognitens. Following a critical meeting with an Asian OEM, which secured funding for a\r\n  concept demo, Shashua formed a team with two of his close friends, Ziv Aviram and Norio Ichihashi. Shashua\r\n  and Aviram became a two-in-the-box in managing the new startup where Aviram was responsible for the\r\n  operations, finance and investor relations and Shashua for the technology, R&D, and the strategic vision of\r\n  the company. The two-in-the-box arrangement continued through taking the company public on the New York\r\n  Stock Exchange in 2014, and until 2017, when Mobileye was acquired by Intel Corp. After the acquisition,\r\n  Aviram retired and Shashua took over the CEO position. Ichihashi was responsible for the Asian market which\r\n  was the first engagement market with OEMs and Tier-1s until 2001.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  It was at that time when Dr. Gideon Stein, who had recently completed his doctoral studies at MIT under\r\n  Shashua's co-supervision, was called to lead the R&D of Mobileye. In 2005, Dr. Gaby Hayon took over R&D - a\r\n  position which he holds to this day - while Stein became the Chief Scientist, a role which he held until\r\n  2019.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\u003Cstrong>The Birth of EyeQ\u003C\u002Fstrong>\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  In 2001, Mobileye's leadership realized that designing a full System-on-Chip dedicated to the massive computational loads of the computer vision stack was the way to realize the company’s full\r\n  potential. At that time, most companies focused on hardware or software and did not design both\r\n  simultaneously and in concert. This was considered a rather radical and even risky decision, but Mobileye’s\r\n  leadership felt it was critical in order to achieve their ambitious goals. To tackle this challenge,\r\n  Elchanan Rushinek joined the executive team to form and lead Mobileye's SoC design team. The first SoC,\r\n  EyeQ1 running on 180 nanometer process, was sampled in 2004. Today, five EyeQ generations and close to 100\r\n  million EyeQ chips later, Rushinek is still running Engineering at Mobileye.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\u003Cstrong>From ADAS to AV and Back\u003C\u002Fstrong>\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  When the company was founded, the category of advanced driver assistance systems (ADAS) was in its infancy\r\n  and the industry was dominated by the belief that expensive radar sensors were necessary in order to perform\r\n  the necessary functions, or at the very least two cameras (stereo vision) that utilize traditional\r\n  triangulation methods to calculate range and velocity. Based on his pioneering academic research, Shashua\r\n  proved that critical safety functions such as Automatic Emergency Braking (AEB) and basically all perception\r\n  tasks could be achieved using a single camera (mono vision). The ability to combine those revolutionary\r\n  algorithms with a custom designed and highly efficient EyeQ SoC mounted on the windshield was a true game\r\n  changer for the industry, making ADAS relevant for the mass market. From that point on Mobileye established\r\n  many \u003Ca herf=\"https:\u002F\u002Fwww.mobileye.com\u002Fabout\u002Findustry-firsts\u002F\">industry firsts\u003C\u002Fa> and pioneered many of the vision-based ADAS functions prevalent today.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  After becoming a world leader in computer vision for ADAS, around 2013, Mobileye came to the understanding\r\n  that the ADAS technology it had been developing made up some of the crucial building blocks needed to\r\n  develop a fully autonomous car, and began pursuing this in earnest. It was at that time that Prof. Shai\r\n  Shalev-Shwartz, a close friend, colleague and research partner of Shashua joined Mobileye in a full-time\r\n  capacity. In 2019, Shalev-Shwartz became the CTO of Mobileye – a position he holds to this day.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  Graduating from ADAS to AV did not only require additional sensors and more advanced algorithms, but also\r\n  requires solving the industry-wide challenges of regulating AV safety, creating\r\n  \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Four-technology\u002Frem\u002F\">HD maps for AVs at scale\u003C\u002Fa>, and driving down the\r\n  cost of the hardware needed for each vehicle – all areas where Mobileye is a leader in the industry by tackling\r\n  the challenges of scale head on. In the area of defining safety for AVs, Shalev-Shwartz and Shashua\r\n  co-authored a seminal \u003Ca href=\"https:\u002F\u002Farxiv.org\u002Fabs\u002F1708.06374\">research paper\u003C\u002Fa> about a new formal model\r\n  for defining what safety means in the context of making driving decisions. The model, called\r\n  \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fresponsibility-sensitive-safety\u002F\">Responsibility-Sensitive-Safety\u003C\u002Fa>\r\n  (RSS), has \u003Ca href=\"https:\u002F\u002Fwww.eetimes.com\u002Fintel-gets-ieee-to-ask-how-safe-is-safe-enough-for-avs\u002F\">gained momentum with industry and regulatory bodies\u003C\u002Fa> for defining the assumptions, in a mathematical form, that drivers make in balancing safety and\r\n  utility while providing formal guarantees against causing an accident. RSS also became the backbone of\r\n  Mobileye’s “driving policy” by replacing “predictions” that classical robotics-inspired Policy algorithms\r\n  rely on – while consuming huge computational resources – with “intentions” thus requiring a fraction of the\r\n  computational capacity.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  Additionally, Mobileye's AV mapping technology –\r\n  \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Four-technology\u002Frem\u002F\">Road Experience Management™\u003C\u002Fa> – again utilizes\r\n  Mobileye's computer vision expertise to create a highly compelling solution for cost effective and geographically\r\n  scalable mapping. REM™ leverages the global crowd of Mobileye-equipped vehicles to collect relevant data\r\n  from the road, and send it to the cloud at very low bandwidth, automatically creating a map of the world for\r\n  AVs.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>Since the acquisition by Intel, Mobileye has experienced vast growth. In March 2017, Mobileye had over 750 employees whereas today there are over 2500 employees in a full time capacity. Revenue as well went from just over $350 million at the end of 2016, to close to $1B at the end of 2020, and during the first nine months of 2021 ending September, the year-on-year revenue growth stands at 62%.\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  Today, the company offers a variety of\r\n  \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fmobility-as-a-service\u002F\">autonomous mobility solutions\u003C\u002Fa>, headed by Erez\r\n  Dagan who has been with Mobileye since 2002 joining as a student intern, and today leads the Product &\r\n  Strategy division. Mobileye has revealed a\r\n  \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fblog\u002Fiaa-mobility-2021-munich-wrap-up\u002F\">production ready L4 robotaxi\u003C\u002Fa>\r\n  with commercial deployments in Tel Aviv and Munich in 2022, and is performing AV testing on three\r\n  continents, all alongside its significant ADAS business. In fact, the ADAS business has significantly\r\n  benefited from having R&D for autonomous driving under the same roof. Most notably, based on its computer\r\n  vision expertise, Mobileye has built a fully autonomous vehicle which can\r\n  \u003Ca href=\"https:\u002F\u002Fwww.youtube.com\u002Fplaylist?list=PLWCfS_Yhbvs6Mn9nVhWZ6ecZIOh7cynko\">drive on cameras alone\u003C\u002Fa\r\n  >. This 11-camera subsystem has now been productized into the ADAS realm, offering one of the world's\r\n  leading premium driver assist solutions for a variety of hands-free driving functions:\r\n  \u003Ca href=\"https:\u002F\u002Fwww.mobileye.com\u002Fsuper-vision\u002F\">Mobileye SuperVision™\u003C\u002Fa>. The first vehicle equipped with\r\n  Mobileye SuperVision™ is already\r\n  \u003Ca\r\n    href=\"https:\u002F\u002Ftechcrunch.com\u002F2020\u002F09\u002F23\u002Fmobileye-signs-driver-assistance-deal-with-geely-one-of-chinas-largest-privately-held-auto-makers\u002F\"\r\n    >in production\u003C\u002Fa\r\n  >\r\n  today with the Geely group. In this way Mobileye has come full circle from a leader in the ADAS revolution, to\r\n  leading the ADAS evolution to autonomous driving, offering a suite of mature solutions from basic driver\r\n  assist to premium driver assist, to fully autonomous, working toward safer and smarter mobility for more\r\n  people each day.\r\n\u003C\u002Fp>\r\n\r\n\u003Cp>\r\n  To view Mobileye’s ISO 9001 certificate, please click\r\n  \u003Cu\r\n    >\u003Ca href=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fmedia\u002FISO_9001.2015_Certificate_2021-EN.pdf\"\r\n      >here\u003C\u002Fa\r\n    >\u003C\u002Fu\r\n  >.\r\n\u003C\u002Fp>","Mobileye | 愿景、历史、里程碑 ","了解关于公司通过富有远见的创新、开拓性的领导以及无与伦比的经验来推动自动驾驶未来的更多信息。",null,"section","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fcorporate\u002Fsocial\u002Fabout.jpg","2026-08-04T08:00:37.473Z",{"links_array":143},[144,167,188,209,213],{"id":16,"name":145,"is_link":36,"is_local_link":36,"path":146,"sub_links":147,"is_icon":22},"公司信息","\u002Fabout\u002F",[148,150,153,156,159,162,164],{"id":16,"name":149,"is_local_link":36,"path":146},"关于我们",{"id":24,"name":151,"is_local_link":36,"path":152},"管理层","\u002Fabout\u002Fmanagement\u002F",{"id":30,"name":154,"is_local_link":36,"path":155},"Amnon 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