节点文献

基于关键场景的预期功能安全双闭环测试验证方法

Methodology of Critical Scenarios-Based Dual-Loop Testing and Verification for Safety of the Intended Functionality

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【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

【Author】 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;School of Automotive Studies, Tongji University;Jilin University, State Key Laboratory of Automotive Simulation and Control;China Automotive Engineering Research Institute;Institute of Electrical Engineering, Yanshan University;School of Mechanical Engineering, Beijing Institute of Technology;Voyager (Beijing) Tech.Co.,Limited;Institute of Systems Science, National University of Singapore;

【通讯作者】 王红;

【机构】 清华大学车辆与运载学院同济大学汽车学院吉林大学,汽车仿真与控制国家重点实验室中国汽车工程研究院股份有限公司燕山大学电气工程学院北京理工大学机械与车辆学院北京航迹科技有限公司新加坡国立大学系统科学学院

【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。

【Abstract】 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.

【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
  • 【文献出处】 汽车工程 ,Automotive Engineering , 编辑部邮箱 ,2023年09期
  • 【分类号】U467
  • 【下载频次】24
节点文献中: 

本文链接的文献网络图示:

本文的引文网络