A vision-language driving planner that adapts its chain-of-thought to the scene and uses tree-search-guided reinforcement learning reports best average trajectory error and planning score on nuScenes and NAVSIM.
End-to-end autonomous driving: Challenges and frontiers.IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(12):10164– 10183, 2024
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FactorDrive: Adaptive Multi-Step Reasoning Driven by Planning-Critical Factors for End-to-End Autonomous Driving
A vision-language driving planner that adapts its chain-of-thought to the scene and uses tree-search-guided reinforcement learning reports best average trajectory error and planning score on nuScenes and NAVSIM.