Unleashing the Potential of Diffusion Models for End-to-End Autonomous Driving

In three linesSystematic investigation of diffusion models for end-to-end autonomous driving (E2E AD). Hyper Diffusion Planner (HDP) framework achieves 10x performance improvement over base model, tested on 200 km real-world driving and 6 urban scenarios. Includes reinforcement learning post-training to enhance safety and robustness.

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