CLOVER framework enhances autonomous driving planning with closed-loop value estimation

Researchers have developed CLOVER, a novel framework designed to improve end-to-end autonomous driving planning systems. This approach addresses the common training-evaluation mismatch by generating diverse candidate trajectories and using a scorer to predict planning-metric sub-scores for ranking. CLOVER employs a closed-loop self-distillation method to refine both the generator and scorer, leading to state-of-the-art performance on benchmarks like NAVSIM and NavHard. AI

影响 Introduces a new method to improve the safety and performance of autonomous driving systems by refining planning algorithms.

排序理由 The cluster contains an academic paper detailing a new framework for autonomous driving planning. [lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

• CLOVER
• NavHard
• NAVSIM
• nuScenes

• 论文
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