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Automotive Engineering ›› 2023, Vol. 45 ›› Issue (9): 1583-1607.doi: 10.19562/j.chinasae.qcgc.2023.09.008

Special Issue: 智能网联汽车技术专题-感知&HMI&测评2023年

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

Siyu Wu1,Wenhao Yu1,Xingyu Xing2,Yuxin Zhang3,Chuzhao Li1,4,Xueke Li5,Xinyu Gu5,Yunwei Li1,Xiaohan Ma6,Wei Lu7,Zheng Wang7,Zhenmao Hao8,Hong Wang1(),Jun Li1   

  1. 1.School of Vehicle and Mobility,Tsinghua University,Beijing 100084
    2.School of Automotive Studies,Tongji University,Shanghai 201804
    3.Jilin University,State Key Laboratory of Automotive Simulation and Control,Changchun 130025
    4.China Automotive Engineering Research Institute,Chongqing 401122
    5.Institute of Electrical Engineering,Yanshan University,Qinhuangdao 066000
    6.School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081
    7.Voyager (Beijing) Tech. Co. ,Limited,Beijing 100193
    8.Institute of Systems Science,National University of Singapore,Singapore 119077
  • Received:2023-07-08 Revised:2023-08-12 Online:2023-09-25 Published:2023-09-23
  • Contact: Hong Wang E-mail:hong_wang@tsinghua.edu.cn

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.

Key words: intelligent connected vehicle, safety of the intended functionality, testing and verification, critical scenario, acceptance criterion