Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models

Simulation-based testing is widely used to assess the reliability of Autonomous Driving Systems (ADS), but its effectiveness is limited by the operational design domain (ODD) conditions available in such simulators. To address this limitation, in this work, we explore the integration of generative a...

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Vydané v:	Proceedings / International Conference on Software Engineering s. 398 - 410
Hlavní autori:	Baresi, Luciano, Xian Hu, Davide Yi, Stocco, Andrea, Tonella, Paolo
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 26.04.2025
Predmet:	autonomous driving systems Autonomous vehicles Deep learning deep learning testing Detectors Diffusion models Generative AI Reliability engineering Semantic segmentation Semantics Software engineering Testing
ISSN:	1558-1225
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