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.
Navsim: Data-driven non-reactive autonomous vehicle simulation and benchmarking.Advances in Neural Information Processing Systems, 37:28706–28719, 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.