From Particles to Perils: SVGD-Based Hazardous Scenario Generation for Autonomous Driving Systems Testing
arXiv:2604.18918v1 Announce Type: cross
Abstract: Simulation-based testing of autonomous driving systems (ADS) must uncover realistic and diverse failures in dense, heterogeneous traffic. However, existing search-based seeding methods (e.g., genetic a…