Taming Uncertainty in Critical Scenario Generation for Testing Automated Driving Systems

Scenario-based testing in simulation has become a cornerstone of industrial practice for systematically assessing autonomous driving systems across diverse and relevant situations. Generating critical scenarios is central to this methodology, yet it remains challenging due to the inherent uncertaint...

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Bibliographische Detailangaben

Veröffentlicht in:	2025 IEEE Conference on Software Testing, Verification and Validation (ICST) S. 464 - 475
Hauptverfasser:	Grosse, Selma, Molin, Adam, Nickovic, Dejan, Gambi, Alessio, Mateis, Cristinel
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 31.03.2025
Schlagworte:	Autonomous driving Autonomous vehicles Measurement Road transportation Scenario generation Scenario-based testing Sensitivity analysis Software algorithms Software testing Test pattern generators Testing Uncertainty
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