摘要
预期功能安全作为道路运行安全的重要组成,是智能网联汽车的核心挑战。全面高效的预期功能安全测试验证方法能够有效支撑系统安全开发流程。本文提出一种以关键场景为载体、由封闭验证和开放论证双闭环构建的测试验证框架,并综合论述关键场景构建技术,进一步建立接受准则的量化方法。最后,本文展望在预期功能安全测试验证领域亟待推进的关键研究。本文旨在为智能网联汽车预期功能安全测试验证的工程实践提供兼具可操作性和理论充分性的参考依据。
Safety of the Intended Functionality(SOTIF)is a vital part of autonomous driving and poses a significant challenge for intelligent connected vehicles,which requires comprehensive and high-efficiency testing and verification methodology to effectively assist the safety development process of the system.Based on critical scenarios,this paper proposes a dual-loop framework with close loop verification and dynamic evaluation,summarizes the technologies for critical scenarios construction,and further formulizes a quantitative method for acceptance criterion.Finally,this article looks forward to key researches in the area of SOTIF testing and verification.The paper aims to provide a maneuverable and theoretical reference for the engineering practice on the SOTIF for intelligent connected vehicle.
作者
吴思宇
于文浩
邢星宇
张玉新
李楚照
李雪轲
古昕昱
李云巍
马小涵
路伟
王政
郝圳茂
王红
李骏
Wu Siyu;Yu Wenhao;Xing Xingyu;Zhang Yuxin;Li Chuzhao;Li Xueke;Gu Xinyu;Li Yunwei;Ma Xiaohan;Lu Wei;Wang Zheng;Hao Zhenmao;Wang Hong;Li Jun(School of Vehicle and Mobility,Tsinghua University,Beijing 100084;School of Automotive Studies,Tongji University,Shanghai 201804;Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130025;China Automotive Engineering Research Institute,Chongqing 401122;Institute of Electrical Engineering,Yanshan University,Qinhuangdao 066000;School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081;Voyager(Beijing)Tech.Co.,Limited,Beijing 100193;Institute of Systems Science,National University of Singapore,Singapore 119077)
出处
《汽车工程》
EI
CSCD
北大核心
2023年第9期1583-1607,共25页
Automotive Engineering
基金
国家自然科学基金联合基金(U1964203)
国家自然科学基金面上基金(52072215)
科技部重点研发项目(2022YFB2503003)
智能绿色车辆与交通国家重点实验室资助。
关键词
智能网联汽车
预期功能安全
测试验证
关键场景
接受准则
intelligent connected vehicle
safety of the intended functionality
testing and verification
critical scenario
acceptance criterion
