ScenGE generates more collision-prone autonomous driving test scenarios by combining LLM-suggested adversarial events with optimized background traffic, beating prior generators on CARLA benchmarks.
Learning to collide: An adaptive safety-critical scenarios generating method
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Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
ScenGE generates more collision-prone autonomous driving test scenarios by combining LLM-suggested adversarial events with optimized background traffic, beating prior generators on CARLA benchmarks.