AI RESEARCH
Safe2Drive: Evaluating Safe Driving Behaviors of E2E Autonomous Driving Models
arXiv CS.CV
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ArXi:2606.00191v1 Announce Type: cross Recent end-to-end (E2E) autonomous driving policies achieve high driving scores in closed-loop simulations. Yet it remains unclear whether these policies handle common safety-critical scenarios. We present Safe2Drive (S2D), a set of Bench2Drive-aligned scenario extensions focused on three frequent families of road hazards: work zones, pedestrian jaywalking, and occluded vulnerable road users (VRUs). Safe2Drive adds 100 common but challenging scenarios and.