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Full-Text Articles in Physical Sciences and Mathematics
Testing Automated Driving Systems By Breaking Many Laws Efficiently, Xiaodong Zhang, Wei Zhao, Yang Sun, Jun Sun, Yulong Shen, Xuewen Dong, Zijiang Yang
Testing Automated Driving Systems By Breaking Many Laws Efficiently, Xiaodong Zhang, Wei Zhao, Yang Sun, Jun Sun, Yulong Shen, Xuewen Dong, Zijiang Yang
Research Collection School Of Computing and Information Systems
An automated driving system (ADS), as the brain of an autonomous vehicle (AV), should be tested thoroughly ahead of deployment. ADS must satisfy a complex set of rules to ensure road safety, e.g., the existing traffic laws and possibly future laws that are dedicated to AVs. To comprehensively test an ADS, we would like to systematically discover diverse scenarios in which certain traffic law is violated. The challenge is that (1) there are many traffic laws (e.g., 13 testable articles in Chinese traffic laws and 16 testable articles in Singapore traffic laws, with 81 and 43 violation situations respectively); and …
An Analysis Of Testing Scenarios For Automated Driving Systems, Luiz Fernando Capretz, Siyuan Liu
An Analysis Of Testing Scenarios For Automated Driving Systems, Luiz Fernando Capretz, Siyuan Liu
Electrical and Computer Engineering Publications
10.1109/SANER50967.2021.00078