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CoRL2024 | Hint-AD: Holistically Aligned Interpretability for End-to-End Autonomous Driving

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Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving

Here we provide formal implementation of Hint-UniAD and Hint-VAD, CoRL 2024 publication of Hint-AD. Please refer to the sub-directories for detailed instruction.

If you find this repo helpful, please cite:

@article{ding2024hint,
  title       = {Hint-AD: Holistically Aligned Interpretability in End-to-End Autonomous Driving},
  author      = {Ding, Kairui and Chen, Boyuan and Su, Yuchen and Gao, Huan-ang and Jin, Bu 
                 and Sima, Chonghao and Zhang, Wuqiang and Li, Xiaohui and Barsch, Paul 
                 and Li, Hongyang and Zhao, Hao},
  journal     = {Conference on Robot Learning (CoRL)},
  year        = {2024}
}

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CoRL2024 | Hint-AD: Holistically Aligned Interpretability for End-to-End Autonomous Driving

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