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ln2697
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tfv6_navsim

CARLA
NAVSIM
Imitation-Learning
Closed-Loop-Driving
Model card Files
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  [**Project Page**](https://ln2697.github.io/lead) | [**Paper**](https://huggingface.co/papers/2512.20563) | [**Code**](https://github.com/autonomousvision/lead)
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- Official model weights for **Latent TransFuser v6 (TFv6)**, a NAVSIM checkpoint accompanies our paper LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving.
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  > We release the complete pipeline (covering scenario descriptions, expert driver, data preprocessing scripts, training code, and evaluation infrastructure) 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:
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  [**Project Page**](https://ln2697.github.io/lead) | [**Paper**](https://huggingface.co/papers/2512.20563) | [**Code**](https://github.com/autonomousvision/lead)
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+ Official model weights for **Latent TransFuser v6 (LTFv6)**, a NAVSIM checkpoint accompanies our paper LEAD: Minimizing Learner–Expert Asymmetry in End-to-End Driving.
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  > We release the complete pipeline (covering scenario descriptions, expert driver, data preprocessing scripts, training code, and evaluation infrastructure) 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:
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