NVIDIA DRIVE AV软件平台与Halos架构助力梅赛德斯奔驰CLA车型获得最高安全评分

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02/02

NVIDIA DRIVE AV 软件平台与 NVIDIA Halos 架构助力 CLA 车型获得最高安全评分(top safety rating)。AI驱动的驾驶辅助技术正逐渐成为车辆的标配，这不仅改变了车辆安全性能的评估方式，更重塑了行业验证标准。梅赛德斯-奔驰 CLA 近期荣获 2025 年欧盟新车安全评鉴协会 (Euro NCAP) 最佳车型称号，印证了这一行业趋势的转变。该车型将传统被动...

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最佳车型称号，印证了这一行业趋势的转变。该车型将传统被动...</p>\n\n<a href=\"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260202094325a47118be&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":"LU1935043023.USD","symbol_name":"MANULIFE GF GLOBAL MULTI-ASSET DIVERSIFIED INCOME \"AA\" (USD) INC A","start_time":0,"source_url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260202094325a47118be&s=b","article_id":"2608833244","we_media_id":null,"thumbnails":[],"rights":{"source":"tencent","url":"http://gu.qq.com/resources/shy/news/detail-v2/index.html#/?id=nesSN20260202094325a47118be&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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最佳车型称号，印证了这一行业趋势的转变。该车型将传统被动安全功能与 NVIDIA DRIVE AV 软件平台相结合，从而获得了年度最高综合安全评分。梅赛德斯-奔驰集团首席执行官 Ola Källenius 表示：“Euro NCAP 在评估车辆安全时，会对被动安全系统与主动安全系统进行综合评估，要想获得满分，必须依托先进的高级驾驶辅助系统 (ADAS)。这一里程碑是梅赛德斯-奔驰与 NVIDIA 长达五年技术协作的结晶，旨在提升真实道路环境中的安全表现，并为客户创造切实价值。”Euro NCAP 作为欧洲独立的车辆安全权威评估机构，迄今已有近三十年的历史，其公信力源于欧洲各国政府、汽车行业组织及消费者团体的共同支持。Euro NCAP 从四个维度对车辆在真实路况下的安全性进行评估。其中与 AI 驱动的驾驶辅助系统最为相关的是“弱势道路使用者保护”和“安全辅助”两大类别，这些评估旨在帮助预防碰撞事故的技术，包括自动紧急制动、车道保持辅助和智能车速辅助系统。仅凭标配就斩获五星评分的车型方有资格获评“同级最佳 (Best in Class)”称号，该奖项基于各测试类别的加权得分综合评定。2025 年，Euro NCAP 完成了对 49 款车型的测试，打破了历史记录。安全至上：DRIVE AV 如何构建可靠的辅助驾驶系统以 Euro NCAP 为代表的车辆安全评估体系正日益重视那些将高强度被动防护功能与先进主动安全功能相结合的车型。随着 AI 成为驾驶的核心，“最安全”汽车的评判标准将不仅取决于车辆在事故中的承受能力，更取决于其能否有效预防事故的发生。梅赛德斯-奔驰 CLA 搭载的 NVIDIA DRIVE AV 采用双栈架构，该架构旨在助力汽车制造商构建不仅具备智能性，更能在现实场景中可预测、可验证、高鲁棒性的驾驶系统。该架构将 AI 驱动的端到端驾驶系统与并行的传统安全栈相结合，为辅助驾驶的感知、规划与执行环节提供冗余保障。梅赛德斯-奔驰 CLA 同样基于 NVIDIA DRIVE Hyperion 架构打造，该架构将传感器多样性与硬件冗余性集成至车辆整体设计之中。该方案的核心是 NVIDIA Halos 综合安全系统，它涵盖硬件、软件、工具、开发流程及认证支持，始终以坚实的安全护栏、冗余设计和容错能力为根基，为辅助驾驶及其他 AI 功能的研发提供结构化的安全基础。第三方认证和评估同样是构建信任的重要基础：TÜV SÜD 已向 NVIDIA 授予网络安全认证 (ISO 21434)，该认证涵盖其车规系统级芯片、平台及软件工程流程。此外，NVIDIA DriveOS 6.0 符合 ISO 26262 汽车安全完整性等级 (ASIL) D 级标准。TÜV Rheinland 针对涉及复杂电子系统的安全要求，对 NVIDIA DRIVE AV 进行了联合国欧洲经济委员会 (UNECE) 独立安全评估，NVIDIA 已成功通过该评估。NVIDIA 近期发布了 Alpamayo 系列开放 AI 模型、仿真工具及数据集，该技术通过将复杂场景分解为多个更小的步骤，对多种可能的动作进行推理，最终选择更安全的方案，使辅助驾驶车辆能够应对未经过训练的罕见“长尾”场景。将这些模型与 NVIDIA DRIVE AV 双栈架构中并行的传统安全栈结合使用，可为车辆运行提供额外防护，确保其始终处于安全界限之内。通过数据与仿真实现安全训练现代 AI 驱动的安全系统能够学习的驾驶场景呈指数级增长，已经远超人类一生所能经历的范围。NVIDIA 通过其从云端到车端的开发流程，能够将真实世界数据转化为数十亿英里的仿真里程，这一过程依托 NVIDIA DGX 平台进行神经网络训练，借助 NVIDIA Omniverse 和 Cosmos 平台实现仿真，并通过 NVIDIA DRIVE AGX 平台完成车端计算部署。该方法论解决了安全验证中的关键挑战：训练 AI 应对那些在现实世界中，因过于危险或发生概率过低，而难以进行可靠测试的罕见高风险边缘场景。通过生成仿真这些罕见场景的合成场景，AI 系统能在开发过程中学习正确的应对策略，同时避免将人员置于险境。对梅赛德斯-奔驰 CLA 的认可，其意义远超单一车型获得顶级评价，更体现了现代汽车安全理念的深刻变革：在保障可靠的碰撞防护基础上，进一步融合了 AI 赋能的辅助驾驶系统，其设计初衷正是为了从源头主动规避事故的发生。","kind":"news","is_publish_news":true,"is_publish_highlight":false,"is_publish_live":false,"is_publish_wemedia":null,"editions":null,"column":"","sentiment":"1","news_tag":"productRelease","news_rank":0,"symbols":[],"gpt_button":0,"need_auth":false,"code":"91000000","status":"200"}}}