ScenePilot: Controllable Boundary-Driven Critical Scenario Generation for Autonomous Driving

In three linesScenePilot generates critical scenarios for autonomous driving testing via multi-objective reinforcement learning. The framework combines RSS-derived physical feasibility with an AV-risk predictor to target boundary-band scenarios: physically solvable yet causing failures. Results: +6.2 percentage points collision rate on SafeBench while preserving physical validity.

Summary generated by Claude — human-verified