摘要
自动紧急制动(AEB)作为高级驾驶辅助系统(ADAS)的核心安全功能,其安全认证面临感知局限、验证复杂性和人机协同3大挑战。系统分析了AEB的技术架构,包括多传感器融合以提升环境感知鲁棒性、保守决策逻辑确保干预安全性,以及运行设计域(ODD)界定管理用户预期。在认证体系方面,探讨了基于ISO 26262功能安全(FS)与ISO 21448预期功能安全(SOTIF)的双支架模型,以及从法规测试向场景库驱动的虚拟验证范式转变。针对人机协同,研究了通过透明交互设计建立驾驶员校准信任的机制,并展望了神经符号AI在提升可解释性及中国本土化场景创新方面的潜力,为AEB系统产业化安全部署提供了系统性参考。
Autonomous Emergency Braking(AEB),as a core safety function of Advanced Driver-Assistance Systems(ADAS),faces 3 major certification challenges:perception limitations,verification complexity,and human-machine collaboration.This paper systematically analyzes the technical architecture of AEB,including multi-sensor fusion for robust environmental perception,conservative decision-making logic to ensure intervention safety,and Operational Design Domain(ODD)definition for user expectation management.In terms of certification frameworks,the study explores the dual-pillar model based on ISO 26262 Functional Safety(FS)and ISO 21448 Safety of the Intended Functionality(SOTIF),highlighting the shift from regulatory testing to scenario-library-driven virtual validation.For human-machine collaboration,it examines mechanisms for establishing calibrated driver trust through transparent interaction design,and prospects the potential of neuro-symbolic AI in enhancing interpretability and localized innovation for China’s complex traffic scenarios.This research provides a systematic reference for the industrial safe deployment of AEB systems.
作者
程坤
李哲
卢劲涛
莫涵越
邝子文
叶见文
Cheng Kun;Li Zhe;Lu Jintao;Mo Hanyue;Kuang Ziwen;Ye Jianwen(Zhejiang-New Zealand Joint Vision-Based Intelligent Metrology Laboratory,College of Information Engineering,China Jiliang University,Hangzhou 310018)
出处
《汽车文摘》
2026年第2期12-24,共13页
Automotive Digest
关键词
自动紧急制动
高级驾驶辅助系统
安全认证
预期功能安全
人机协同
传感器融合
Autonomous Emergency Braking(AEB)
Advanced Driver-Assistance Systems(ADAS)
Safety certification
Safety of the Intended Functionality(SOTIF)
Human-machine collaboration
Sensor fusion
