2 papers
cs.SE2025
Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models
Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco +1
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) condi…
cs.CV2025
DILLEMA: Diffusion and Large Language Models for Multi-Modal Augmentation
Luciano Baresi, Davide Yi Xian Hu, Muhammad Irfan Mas'udi +1
Ensuring the robustness of deep learning models requires comprehensive and diverse testing. Existing approaches, often based on simple data augmentation techniques or generative ad…