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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Vydané v:	2025 IEEE Conference on Software Testing, Verification and Validation (ICST) s. 464 - 475
Hlavní autori:	Grosse, Selma, Molin, Adam, Nickovic, Dejan, Gambi, Alessio, Mateis, Cristinel
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 31.03.2025
Predmet:	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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