[{"data":1,"prerenderedAt":219},["ShallowReactive",2],{"blog-post-physical-ai-at-mobileye-from-autonomous-vehicles-to-humanoid-robots":3,"blog-featured-physical-ai-at-mobileye-from-autonomous-vehicles-to-humanoid-robots":26,"header-links":63,"corporate-footer":151,"footer-year":218},[4],{"type":5,"url":6,"title":7,"description":8,"image":9,"img_alt":10,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":12,"publish_date":13,"featured":14,"is_infographic":11,"author_name":15,"primary_tag":16,"lang":17,"is_active":18,"meta_description":8,"region":19,"tags":20,"created_at":23,"updated_at":24,"is_gated":14,"is_hidden":14,"id":25},"blog","physical-ai-at-mobileye-from-autonomous-vehicles-to-humanoid-robots","Mobileye 的物理 AI：从自动驾驶汽车到人形机器人","深入了解物理 AI 的概念，以及 Mobileye 如何以独特方法打造这一最具影响力的 AI 系统的具身应用。","https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fimages\u002Fad583efd9b2ba600c11f8560d1eb3579_1788683154380.webp","物理 AI 可以有多种形态，Mobileye的研发重心聚焦于自动驾驶汽车与人形机器人两大方向。",null,"\u003Cp>自动驾驶历来要求 AI 能够理解世界、做出决策，并在实时场景中安全地采取行动。但随着机器人技术的兴起，以及 Mobileye的人形机器人Mentee问世，物理 AI 正进入全新发展阶段。本文将解析物理 AI 的定义、能力边界，以及 Mobileye 在实现这一极具影响力的 AI 系统的具身应用中独特方法。\u003C\u002Fp>\u003Ch3>\u003Cstrong>何为物理 AI？\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>物理 AI 是一种人工智能模式，旨在理解语境、推断意图，并在现实世界中与人类自然互动。如今，人工智能存在多种形式。生成式 AI 可以创建文本、图像、代码和其他形式的数字内容，而智能体式 AI 则可以使用数字工具来完成任务。随着这些技术不断发展，物理人工智能作为最新、潜力也最突出的人工智能形态应运而生。\u003C\u002Fp>\u003Ch3>\u003Cstrong>物理 AI 的不同形态\u003C\u002Fstrong>\u003C\u002Fh3>\u003Cp>物理 AI 可以有多种形态。Mobileye的研发重心聚焦于自动驾驶汽车与人形机器人两大方向。\u003C\u002Fp>\u003Cp>在自动驾驶汽车领域，自动驾驶出租车以及消费级自动驾驶汽车被设计为具备完全自主地感知、推理与行驶的能力。\u003C\u002Fp>\u003Cp>人形机器人是物理 AI 的另一种形态，覆盖广泛的应用场景。其中包括专为工厂车间和制造环境设计的工业人形机器人，以及具备家庭场景所需灵巧度的人形机器人，例如抓取咖啡杯并将其放回桌上所需的手指活动能力。\u003C\u002Fp>\u003Cp>无论以何种形式存在，物理 AI 都必须持续解读现实世界环境，预测周围对象的行为，并与人类安全协作。\u003C\u002Fp>\u003Cp>对于自动驾驶汽车而言，这意味着要理解道路环境、人类驾驶行为，并被设计用于安全驾驶。对于人形机器人而言，则要求能够在动态变化的空间环境导航，并且在设计上以实现与人类的安全交互为目标。\u003C\u002Fp>\u003Cp>\u003C\u002Fp>\u003Cdiv class=\"videoEmbed customEmbed\">\u003Cvideo src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002F91ca06ed6d1b4484c56ab4ed3900539c_1788683279189.mp4\" controls playsinline allowfullscreen>\u003C\u002Fvideo>\u003C\u002Fdiv>\u003Ch3>我们为何需要物理 AI？\u003C\u002Fh3>\u003Cp>自动驾驶汽车的普及率和需求一直在持续增长。自动驾驶汽车提升道路安全、改善出行并增加交通便利性的潜力，早已得到广泛认可。 即便是依托先进 AI、能力较强的\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fsolutions\u002Fadas\u002F\">驾驶辅助系统\u003C\u002Fa>，其应用也与安全水平和驾驶表现的改善存在关联。\u003C\u002Fp>\u003Cp>人形机器人的兴起开启了新一代应用场景。物理 AI 可以为仓储、工业环境及其他重体力作业场景的工作提供支持，让重复性、高强度作业变得更安全、更高效。\u003Cbr>\u003C\u002Fp>\u003Cdiv class=\"videoEmbed customEmbed\">\u003Cvideo src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002Fb8440487578d25e43dbdba224d81d7e0_1788683428962.mp4\" controls playsinline allowfullscreen>\u003C\u002Fvideo>\u003C\u002Fdiv>\u003Ch3>Mobileye 的物理 AI 方法\u003C\u002Fh3>\u003Cp>Mobileye 的物理 AI 方法建立在四项核心原则之上，这些原则使自动驾驶汽车和人形机器人能够在复杂、动态的真实环境中做出智能决策。\u003C\u002Fp>\u003Ch4>四项原则：\u003C\u002Fh4>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>原生安全架构\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>冗余是 Mobileye 方法的基石，多项关键技术被嵌入在硬件、软件和 AI 流程之中。 对于汽车应用而言，该架构的基础是\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Ftechnology\u002Fresponsibility-sensitive-safety\u002F\">RSS(责任敏感安全)\u003C\u002Fa>模型，这是一套公开发布的技术框架，定义安全驾驶行为，并帮助确保车辆决策始终处于可验证的安全边界之内。\u003C\u002Fp>\u003Cp>作为对 RSS 的补充，还有一套严谨的安全方法论，旨在系统性地识别、验证并处理潜在的系统故障，从而支持安全且可解释的驾驶行为。在Mobileye，重点在于构建不仅智能，而且经过严格验证且专为安全的真实世界部署而设计的系统。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>边缘案例驱动学习\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>借助 Mobileye 的自动驾驶多智能体 AI 数据分析工具 \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fdiagnosing-the-long-tail-how-mobileye-turns-edge-cases-into-targeted-training\u002F\">Meteor\u003C\u002Fa>，可系统性识别并分析罕见但可复现的驾驶场景，从而挖掘反复出现的系统短板。 专用场景仿真器 \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fdiagnosing-the-long-tail-how-mobileye-turns-edge-cases-into-targeted-training\u002F\">Genario \u003C\u002Fa>专门针对长尾问题开展系统性处理，基于分析发现、故障根源以及触发条件生成定制化合成训练场景。二者协同，旨在帮助自动驾驶系统改善在具有实际意义的长尾边缘场景中的表现。\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003Cdiv class=\"videoEmbed customEmbed\">\u003Cvideo src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002F42ae69d0996fd6a19665ca2978148a94_1788684060692.mp4\" loop autoplay playsinline allowfullscreen>\u003C\u002Fvideo>\u003C\u002Fdiv>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>专用技术栈\u003C\u002Fstrong>\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>跨越 Mobileye 的 ADAS 和 AV 技术栈，每一层都被设计为通过结合先进的学习能力、专用组件，以及贯穿感知、规划、决策和控制的系统级逻辑，独立地履行其职责。\u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fcompound-ai-the-framework-powering-scalable-autonomy\u002F\">复合人工智能\u003C\u002Fa>摒弃大一统通用 AI 架构，采用模块化分层设计。各组件针对特定子任务优化，由系统协调其输出，以产生连贯、智能的结果。Mentee 的人形机器人就被专门打造为一个单一的集成系统，而不是各自独立开发每项能力。其具备原生触觉反馈的全可逆驱动（back-drivable）手部支持与人类相容的操作，并通过感知、导航、语言理解、学习及物理交互等领域硬件与软件的紧密集成而得到优化。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cp>规模优先工程\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Cp>谈及规模化落地，性能只是其中一环。计算效率、成本、系统设计和可制造性，共同决定一个 AI 系统能否跨越研究阶段，并落地真实场景。在 Mobileye，上述要素贯穿整个工程研发过程；决策不仅考量系统可以实现哪些功能，更要考量未来如何实现大规模生产与部署。\u003C\u002Fp>\u003Cp>这种考量在不同领域展现出不同的形式。在汽车领域，可能意味着要围绕大规模量产的约束，对硬件、软件和算力进行优化。而在人形机器人领域，垂直整合让硬件与软件的开发结合得更加紧密，从而使整个系统能够作为一个整体来进行迭代、训练与优化。\u003C\u002Fp>\u003Ch3>物理 AI 需要哪些学习方法？\u003C\u002Fh3>\u003Cp>不同类型的物理 AI 所采用的学习方法各不相同。\u003C\u002Fp>\u003Cp>诸如 \u003Ca target=\"_blank\" rel=\"noopener noreferrer\" href=\"https:\u002F\u002Fwww.mobileyechina.com\u002Fblog\u002Fdiagnosing-the-long-tail-how-mobileye-turns-edge-cases-into-targeted-training\u002F\">Meteor\u003C\u002Fa> 这类技术可以生成超越日常驾驶中所遇到的、多样化的安全关键场景，而基于Genario的模拟与真实世界验证则旨在部署前增强系统的鲁棒性、泛化能力与安全性。\u003C\u002Fp>\u003Cp>对于人形机器人的应用而言，训练依赖于不同的方法。诸如少样本学习等技术允许系统仅通过观察少量的示范就能学会新任务。Mentee 人形机器人则通过“导师模式” 进行学习，在经过一定数量的示范后即可掌握新能力。\u003C\u002Fp>\u003Cp>诸如Real2Sim2Real 等方法进一步实现 AI 系统在虚拟环境与物理环境之间高效迁移学习，在支持真实世界性能的同时，具备缩短训练时间的潜力。\u003Cbr>\u003Cbr>\u003C\u002Fp>\u003Cdiv class=\"videoEmbed customEmbed\">\u003Cvideo src=\"https:\u002F\u002Fstatic.mobileye.com\u002Fwebsite\u002Fus\u002Fcorporate\u002Fvideos\u002F5849525d204fb32caae6f1db81d9b55d_1788684223362.mp4\" controls playsinline allowfullscreen>\u003C\u002Fvideo>\u003C\u002Fdiv>\u003Ch3>物理 AI 的未来展望\u003C\u002Fh3>\u003Cp>物理 AI 是一个快速发展的领域，有望将技术发展推向全新高度。未来虽存在不确定性，但发展走向可能取决于两大因素：质量与可扩展性。随着感知、推理、执行能力协同迭代，这类系统可能更加安全、能力更强，能够更为实用地服务人类。然而，物理 AI 要想产生现实世界的影响力，可扩展性是至关重要的。\u003C\u002Fp>\u003Cp>从软硬件研发到可制造能力，技术能否实现规模化，直接决定他们能够被多广泛地部署。这些正是塑造了 Mobileye 自动驾驶路线的相同工程原则，而如今，它们也在为 Mobileye 在物理 AI 领域的探索提供指引。\u003C\u002Fp>\u003Cp>\u003C\u002Fp>","2026-09-07T00:00:00-07:00",0,"","Physical AI","en",true,"cn",[21,22,16],"Press Kit","Industry","2026-09-07T12:07:21.362Z","2026-09-21T07:07:58.414Z",334,[27,42,53],{"id":28,"type":29,"lang":17,"primary_tag":30,"url":31,"title":32,"short_title":11,"subtitle":11,"description":33,"meta_description":33,"image":34,"img_alt":35,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":36,"publish_date":37,"featured":38,"is_gated":39,"is_infographic":11,"is_hidden":39,"is_active":18,"tags":40,"updated_at":41},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> — 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>","2026-06-16T04:00:00.000Z",1,false,"News, Amnon Shashua, Driverless MaaS, Industry, Autonomous Driving","2026-08-04T08:00:37.472Z",{"id":43,"type":29,"lang":17,"primary_tag":44,"url":45,"title":46,"short_title":11,"subtitle":11,"description":47,"meta_description":47,"image":48,"img_alt":49,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":50,"publish_date":51,"featured":38,"is_gated":39,"is_infographic":11,"is_hidden":39,"is_active":18,"tags":52,"updated_at":41},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> — 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>","2026-03-23T05:00:00.000Z","ADAS",{"id":54,"type":5,"lang":17,"primary_tag":22,"url":55,"title":56,"short_title":11,"subtitle":11,"description":57,"meta_description":57,"image":58,"img_alt":59,"author_name":11,"download_doc":11,"download_title":11,"download_btn":11,"webinar_video":11,"thumbnail":11,"author_id":11,"content":60,"publish_date":61,"featured":38,"is_gated":39,"is_infographic":11,"is_hidden":39,"is_active":18,"tags":62,"updated_at":41},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>","2025-06-30T04:00:00.000Z","Events, Industry",{"links_array":64},[65,96,117,138,142],{"id":66,"name":67,"is_link":18,"is_local_link":18,"path":68,"sub_links":69,"is_icon":39},"1","公司信息","\u002Fabout\u002F",[70,72,76,80,84,88,92],{"id":66,"name":71,"is_local_link":18,"path":68},"关于我们",{"id":73,"name":74,"is_local_link":18,"path":75},"2","管理层","\u002Fabout\u002Fmanagement\u002F",{"id":77,"name":78,"is_local_link":18,"path":79},"3","Amnon 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