2026自动驾驶借力人工智能再次启航

汽车电子产研社02-12

此前，受技术发展遇阻、车企纷纷布局纯电动汽车等因素影响，自动驾驶领域的关注度有所下降。但如今，自动驾驶重新成为行业焦点，并将大规模走向市场。行业内部人士在 2026 年 1 月初拉斯维加斯消费电子展（CES）上表示，依托人工智能技术的突破和市场层面的积极反馈，自动驾驶再次成为行业的核心议题，迎来复苏浪潮。近年来，自动驾驶技术发展遭遇诸多阻碍，车企纷纷放弃出行服务相关布局，产品研发资金也大多投向纯...

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月初拉斯维加斯消费电子展（CES）上表示，依托人工智能技术的突破和市场层面的积极反馈，自动驾驶再次成为行业的核心议题，迎来复苏浪潮。近年来，自动驾驶技术发展遭遇诸多阻碍，车企纷纷放弃出行服务相关布局，产品研发资金也大多投向纯...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026021216183897a5eb3a&s=b\">网页链接</a>\n\n</div>\n\n\n</article>\n</div>\n</body>\n</html>\n","isBrief":false,"type":0,"news_type":1,"symbol":"LU2125909759.SGD","symbol_name":"Natixis Thematics Safety H-R/A SGD","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026021216183897a5eb3a&s=b","article_id":"2610948019","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN2026021216183897a5eb3a&s=b","rn_cache_url":null,"customStyle":"body{padding-top:10px;}#news_title{font-weight:bold;#titleStyle#;}#news_description span{font-size:12px;#descriptionStyle#;}.footer-note{#statement#}","selectors":".mod-LoadTzbdNews, body","filters":".relate-stock, .hot-list, .recom-box, 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SUSTAINABILITY \"AT\" (USD) ACC","BK4587":"ChatGPT概念","LU1804176565.USD":"EASTSPRING INV GLOBAL GROWTH EQUITY \"A\" (USD) ACC"},"translate_title":"2026 Autonomous driving leverages artificial intelligence to set sail again","themeId":null,"isJumpTheme":false,"ttsUrl":null,"symbols_score_info":{"SNVD.UK":0.6,"NVII":0.6,"QCMU":0.6,"2NVD.UK":0.6,"NVDU":0.6,"NVDS.UK":0.6,"MBLY":1.91,"QCOM":1.93,"NVIW.SI":0.6,"NVDG":0.6,"NVDW":0.6,"NVDD":0.6,"NVD":0.6,"NVD3.UK":0.6,"VGT":0.87,"DIPS":0.6,"3NVD.UK":0.6,"QCMD":0.6,"NVDX":0.6,"QCML":0.6,"NVDQ":0.6,"NVDY":0.6,"NVDA":1.86,"NVDS":0.6,"NVD2.UK":0.6},"content_text":"此前，受技术发展遇阻、车企纷纷布局纯电动汽车等因素影响，自动驾驶领域的关注度有所下降。但如今，自动驾驶重新成为行业焦点，并将大规模走向市场。行业内部人士在 2026 年 1 月初拉斯维加斯消费电子展（CES）上表示，依托人工智能技术的突破和市场层面的积极反馈，自动驾驶再次成为行业的核心议题，迎来复苏浪潮。近年来，自动驾驶技术发展遭遇诸多阻碍，车企纷纷放弃出行服务相关布局，产品研发资金也大多投向纯电动汽车领域，因此各大车企对研发顶级的四级、五级自动驾驶技术的热情有所降温。不过，受美国政策因素影响，纯电动汽车发展步伐放缓，且相较于内燃机汽车，纯电动汽车仍存在成本劣势，同时愿意大规模换购纯电动汽车的消费者数量不足，行业投资开始从纯电动汽车领域撤出，重新流向高级驾驶辅助系统（ADAS）相关技术研发。多家车企高管表示，纯电动汽车领域的发展降温并非是高级驾驶辅助系统重新受关注的唯一原因。负责高通与宝马联合研发骁龙驾舱领航平台的拉贾特・萨加尔（Rajat Sagar）表示：“我认为全球车企都看到了自动驾驶技术能带来的价值。”他指出，中国车企以及特斯拉等企业一直在不断推出更先进的高级驾驶辅助系统功能，以此吸引消费者，“这也催生了市场对该技术落地应用的需求”。车企加大高级驾驶辅助系统投资的原因普华永道美国汽车行业负责人 C.J. 芬恩（C.J. Finn）认为，如今车企将率先推出更高等级的自动驾驶技术，视为短期内抢占市场份额的最佳契机。芬恩表示：“车企始终在争夺下一代核心技术的先发优势，谁能率先布局，就能真正抢占市场份额。此前一些企业认为电气化会是这一核心赛道，但如今自动驾驶成为了新的方向。从增强版二级自动驾驶向四级自动驾驶的跨越，将成为行业的颠覆性变革。”初创企业Helm.ai首席执行官弗拉德・沃罗宁斯基（Vlad Voroninski）也认同，投资正再次回流至自动驾驶领域。他说：“车企已经意识到，商用车辅助驾驶技术将成为主要的营收增长点，这也是资本涌入的方向。自动驾驶如今无疑是车企董事会上的头号议题。”即便是在美国市场，也有迹象表明，消费者对该技术的真实需求正在显现。市场研究机构AutoPacific在2025年7月发布的报告显示，43%的美国购车者表示，高速公路脱手式半自动驾驶功能——也就是通用汽车的超级巡航、福特的蓝调巡航、特斯拉的完全自动驾驶这类增强版二级自动驾驶系统，是他们下一辆车最想要的配置。这一比例较去年大幅提升了20 个百分点。麦肯锡2023年的一项研究显示，三分之二的消费者愿意为下一辆车配备的四级自动驾驶技术支付1万美元溢价，该技术能实现高速公路和城市道路的全程脱手、脱眼驾驶。市场研究机构普雷塞斯研究预测，到2035年，自动驾驶汽车市场的年规模或将突破2万亿美元，从现在到 2035 年的年复合增长率将超 35%。车企与供应商如何把握自动驾驶的发展潜力从CES 2026到现在仅一个月时间，宝马、福特、通用汽车、英伟达等车企和核心供应商均宣布，将大力投入自动驾驶技术的进一步研发。宝马展出了全新 iX3 车型，该车是宝马新一代新世代架构平台的首款车型，搭载了宝马与高通联合研发的增强版二级自动驾驶系统（脱手、不脱眼），可在高速公路和城市道路使用，宝马将其命名为 “协同驾驶系统”。该系统预计将于2026年底在全球100个国家落地应用。这家德国车企表示，2027年前，该车型所搭载的相关技术将应用于旗下40款全新车型及改款车型。高通方面表示，其与宝马联合研发的骁龙驾舱领航自动驾驶解决方案已斩获更多合作订单，2026至2028年间，除宝马外，其他车企也将量产搭载该方案的车型，合作客户包括雷诺，以及欧洲、中国和印度的其他车企。芯片制造商英伟达宣布，其新一代DRIVE增强版二级自动驾驶解决方案的首个落地应用车型为全新梅赛德斯-奔驰 CLA，该车型将于2026年第一季度在美国上市，第二季度登陆欧洲，年底前进入亚洲市场。以色列自动驾驶企业Mobileye公布，截至2033年其高级驾驶辅助系统相关业务的订单积压金额已达245亿美元，其中超半数订单为L2-L4的高阶自动驾驶产品。该订单规模较2023 年增长42%，其中还包括与一家未透露名称的美国车企达成的合作，为其量产车型配备高性价比的全景高级驾驶辅助系统。Mobileye还宣布，将扩大与大众汽车的合作规模：双方为大众旗下MOIA网约车服务打造的四级自动驾驶 “领航系统”，原定2034年落地1.2万辆车型，如今这一目标上调至10万辆。这标志着自动驾驶出租车向大规模量产迈出了实质性步伐。MOIA计划2028年前在全球六个市场开展运营。Helm.ai表示，目前正与多家车企合作，为其提供基于视觉方案的自动驾驶解决方案（无需激光雷达和高精地图），可适配高速公路和城市道路场景，合作车企包括本田和大众。其中本田计划从 2027 财年开始，在纯电动和混动车型上搭载该技术。福特目前已有120万辆车型配备蓝调巡航增强版二级自动驾驶系统。该公司表示，2027年其低成本通用电动汽车平台实现量产后，将自主研发自动驾驶技术。福特还称，依托自主研发的处理器，其自动驾驶解决方案将于2028年实现三级自动驾驶的性能表现。通用汽车首席执行官玛丽・巴拉在底特律的一场背景沟通会上表示，2028 年将在凯迪拉克凯雷德 IQ 车型上首次搭载三级自动驾驶系统。生成式人工智能如何推动自动驾驶发展提速自动驾驶技术的全面落地，离不开相关技术的飞速发展——这在很大程度上得益于人工智能能力的跃升，该技术改变了自动驾驶软件开发的思路；同时，传感器技术的进步与普及，也让优化高级驾驶辅助系统运行所需的数据质量和数据量得到了提升。例如，Mobileye 表示，目前其已在全球约 800 万辆车上实现了实时数据采集，2025 年全年的行驶数据采集里程达 320 亿英里（约 510 亿公里）。TomTom的产品技术高管曼努埃拉・洛卡诺・阿贾伊表示：“我们如今所做的研发，并非一时兴起，而是深耕多年的成果。” 她指出，目前全球已有半数车辆实现联网，开发者可获取海量的真实道路行驶数据，助力软件的优化迭代。“我们为此努力了很久，如今技术终于实现了可规模化、高性价比落地，还能达到这样的精准度。”TomTom公司在 2026 年消费电子展上展出了新一代导航高精地图产品，该产品将为大众汽车旗下的卡地亚德软件研发中心等企业供货。该公司表示，得益于人工智能技术的进步和真实道路数据的不断积累，其如今的地图绘制效率可达每日47万英里（约75万公里）。汽车集成与软件服务商Elektrobit战略与产品组合负责人贾根・拉贾戈帕兰在解释车企重新关注高级驾驶辅助系统的原因时表示：“自动驾驶技术如今已接近成熟，这主要得益于人工智能技术的落地，激光雷达、摄像头等硬件技术也日趋标准化。到2030年，市场上将出现更多主流的自动驾驶车型。”行业内部人士表示，生成式人工智能的出现和视觉语言模型的研发，改变了自动驾驶软件的编写与测试方式。借助视觉语言模型，人工智能软件如今不仅能理解语言，还能解析图像信息并做出相应反应。Mobileye 首席执行官阿姆农・沙舒阿（Amnon Shashua）表示：“我们如今可在虚拟环境中，利用现实世界无法获取的海量数据开展模型训练，单日可完成数十亿次仿真测试。”高通汽车业务执行副总裁兼总经理纳库尔・杜加尔（Nakul Duggal）表示：“如今的自动驾驶模型均采用端到端设计，这意味着软件的决策逻辑更接近人类驾驶员，能更快地分析路况并规划车辆行驶路径。人工智能技术的这一突破，是在过去三年到三年半的时间里实现的。相关数据早已存在，只是此前还没有视觉语言模型来挖掘其价值。”他说：“对这些新一代模型的持续训练，能让自动驾驶系统的表现更稳定、更可靠。一旦掌握了核心的训练方法（这一过程并非易事），后续的研发就只是数据层面的问题了。”Helm.ai的沃罗宁斯基表示，在早期的自动驾驶研发中，“技术发展存在明显的天花板，依靠当时的方法，或许永远无法实现三级、四级自动驾驶功能的落地”。而如今，该公司研发的感知系统的工作逻辑已高度接近人类大脑，自动驾驶的终极目标也有了清晰的实现路径。沃罗宁斯基说：“人类大脑有 70% 的区域专门用于感知外部世界，我们花了数年时间攻克这一难题，如今已从汽车量产的角度，切实解决了视觉感知的问题。”“我们的测试结果显示，依托这套量产级的感知系统，自动驾驶系统能在从未去过的城市完成 20 分钟的自主行驶。”英伟达首席执行官黄仁勋对此做出了精辟总结：“如今，我们不再是编写软件，而是训练软件。” 他还介绍了英伟达在 2026 年消费电子展上发布的全新开源平台阿尔帕马约，该平台是梅赛德斯 - 奔驰 CLA 车型所搭载自动驾驶解决方案的核心底层架构。黄仁勋表示，过去几年间，全球有 100 万亿美元的研发投入，从传统的产品研发模式转向了人工智能领域。成本下降，高级驾驶辅助系统有望走向大众市场自动驾驶技术不断进步的同时，相关成本也在持续下降，这意味着高阶的增强版二级自动驾驶功能，将逐步下探至更多大众市场车型。福特选择自主研发相关技术，正是车企推动增强版二级自动驾驶功能落地入门级车型的例证之一。以Mobileye为例，该公司与某美国车企达成合作，2028年年中起为其配备全景高级驾驶辅助系统，涉及车型规模最高达900万辆。而大众汽车早在2025年就宣布了类似合作，计划为旗下最多1000万辆车型配备该系统。Mobileye业务发展与战略执行副总裁尼姆罗德・内赫斯坦表示：“这是一套极具成本效益的解决方案。这两家车企均位列全球六大车企，它们选择为旗下量产车型配备该方案，这一趋势表明，车企不仅聚焦高端市场的前沿技术研发，也开始重视大众市场车型的自动驾驶技术升级，这一发展方向十分值得关注。”高通表示，其骁龙驾舱灵动平台是另一款性价比突出的产品，正获得越来越多车企的认可。该平台可将座舱信息娱乐功能与高级驾驶辅助系统控制功能集成在单一芯片上，非常适合入门级车型。2025 年，该平台已实现首次量产落地，搭载于北汽极狐阿尔法 T5、通用别克 Electra L7、东风日产 N6 等多款中国车型。高通还透露，目前已有超 10 家合作伙伴计划基于该芯片研发相关方案，其中包括与现代摩比斯的合作项目。杜加尔表示：“这意味着，几乎所有级别车型都将开始搭载高级驾驶辅助系统和车载信息娱乐系统，没有任何一个车型细分市场会被排除在增强版二级及以上自动驾驶的发展浪潮之外。这也将为我们和整个行业带来更大的市场空间。”车企高管们认为，随着量产规模的扩大，自动驾驶相关成本还将进一步下降。沙舒阿表示，Mobileye 的目标是在2028年，将其增强版二级全景高级驾驶辅助系统的成本降低40%，并在此后持续下调全系列技术产品的成本。针对大众 MOIA 出行车队所搭载的四级自动驾驶 “领航系统”，Mobileye 计划通过减少激光雷达的使用数量来降低成本，将目前的3个激光雷达缩减至1个。历经多年的技术憧憬、研发挫折，以及全球车企反反复复的关注与投资后，自动驾驶技术如今终于站稳了脚跟。黄仁勋预测：“我坚信，未来 10 年内，绝大多数汽车都将实现自动驾驶，或达到高度自动驾驶的水平。”","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"0","news_tag":"","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"},"commentList":[],"isCommentEnd":true,"newsSizeData":{"likeSize":0,"commentSize":0,"repostSize":0,"favoriteSize":0,"likeStatus":false,"favoriteStatus":false},"APP":{"userAgent":"Mozilla/5.0 AppleWebKit/537.36 (KHTML, like Gecko; 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