AIR^2 for Interaction Prediction

Related tags

Deep Learning AIR
Overview

This is the repository for AIR^2 for Interaction Prediction.

Explanation of the solution:

Video: link

License

AIR is released under the Apache 2.0 license.

Citing AIR and AIR^2

If you use AIR in your research, please use the following BibTeX entry.

@misc{wu2021air2,
  author =       {David Wu and Yunnan Wu},
  title =        {AIR^2 for Interaction Prediction},
  howpublished = {Waymo Open Dataset Challenges Reports, CVPR Workshop on Autonomous Driving, \url{http://cvpr2021.wad.vision/}},
  year =         {2021}
}
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Comments
  • submission.py

    submission.py

    Hi, thanks for sharing your code generously! Can you offer me some suggestions on how to use the submission.py to generate the final files which can be submitted to the https://waymo.com/open/challenges/2021/motion-prediction/

    opened by MichaelYu781 2
  • About dataset in get_trajectories() in clustering.py

    About dataset in get_trajectories() in clustering.py

    When I'm trying to get the npy files for training for training with clustering.py, I'm not sure which kind of dataset should be used and what preprocessing are required. I tried both the origin tfExample files and the training files get from DataPrep, and many functions in dataset.py, but they all reported error. So what should I do to generate these npy files? And I would like to know if there is a ReadMe file or an iPython file for the whole process for training the model? Thanks a lot.

    opened by AaaaronHong 3
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