A Review of Testing Object‑Based Environment Perception for Safe Automated Driving

作     者：Michael Hoss Maike Scholtes Lutz Eckstein 

作者机构：Institute for Automotive EngineeringRWTH Aachen UniversitySteinbachstr.752074 AachenGermany 

出 版 物：《Automotive Innovation》 (汽车创新工程（英文）)

年 卷 期：2022年第5卷第3期

页      面：223-250页

核心收录：

学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：Bundesministerium für Wirtschaft und Energie  BMWi 

主　　题：Automated driving Environment perception Safety assurance Testing 

摘      要：Safety assurance of automated driving systems must consider uncertain environment *** paper reviews litera-ture addressing how perception testing is realized as part of safety *** paper focuses on testing for verification and validation purposes at the interface between perception and planning,and structures the analysis along the three axes(1)test criteria and metrics,(2)test scenarios,and(3)reference ***,the analyzed literature includes related safety standards,safety-independent perception algorithm benchmarking,and sensor *** is found that the realiza-tion of safety-oriented perception testing remains an open issue since challenges concerning the three testing axes and their interdependencies currently do not appear to be sufficiently solved.