ln2697/lead

LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving Project Page | Paper | Code Official CARLA dataset accompanies our paper LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving. We release the complete pipeline required to achieve state-of-the-art closed-loop performance on the Bench2Drive benchmark. Built around the CARLA simulator, the stack features a data-centric design with: Extensive visualization suite and runtime type validation for easier… See the full description on the dataset page: https://huggingface.co/datasets/ln2697/lead.

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