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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Bibliographic Details

Published in:	Proceedings / International Conference on Software Engineering pp. 398 - 410
Main Authors:	Baresi, Luciano, Xian Hu, Davide Yi, Stocco, Andrea, Tonella, Paolo
Format:	Conference Proceeding
Language:	English
Published:	IEEE 26.04.2025
Subjects:	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
Online Access:	Get full text
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