ROCAS: Root Cause Analysis of Autonomous Driving Accidents via Cyber-Physical Co-mutation

As Autonomous driving systems (ADS) have transformed our daily life, safety of ADS is of growing significance. While various testing approaches have emerged to enhance the ADS reliability, a crucial gap remains in understanding the accidents causes. Such post-accident analysis is paramount and benef...

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Veröffentlicht in:	IEEE/ACM International Conference on Automated Software Engineering : [proceedings] S. 1620 - 1632
Hauptverfasser:	Feng, Shiwei, Ye, Yapeng, Shi, Qingkai, Cheng, Zhiyuan, Xu, Xiangzhe, Cheng, Siyuan, Choi, Hongjun, Zhang, Xiangyu
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	ACM 27.10.2024
Schlagworte:	Accidents Autonomous vehicles Deep learning Drones Object recognition Reliability Root cause analysis Safety Software engineering Testing
ISSN:	2643-1572
Online-Zugang:	Volltext
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