AI RESEARCH
DriveSafer: End-to-End Autonomous Driving with Safety Guidance
arXiv CS.CV
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ArXi:2605.16737v1 Announce Type: cross End-to-End (E2E) autonomous driving models have shown growing capability in recent years, with performance improving on increasingly challenging benchmarks. However, modern generative E2E planners still suffer from a substantial number of catastrophic failures in safety-critical scenarios. We find that many such failures arise from violations of physical constraints and safety requirements, leading to unsafe behavior.