/ctin

The official implementation of CTIN model for Inertial Navigation

MIT LicenseMIT

License

This is the official implementation of our paper:

@inproceedings{rao2022ctin,
  title={CTIN: Robust contextual transformer network for inertial navigation},
  author={Rao, Bingbing and Kazemi, Ehsan and Ding, Yifan and Shila, Devu M and Tucker, Frank M and Wang, Liqiang},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={36},
  number={5},
  pages={5413--5421},
  year={2022}
}

Code & Dataset

The code and data that support the findings of this study are available from Unknot.id. Restrictions apply to the availability of these code and data, which were used under license for this study. We will release them immediately when we get approval from our partners.

Please free to contact us if you have any questions about our research work.

Dr. Devu Shila (devums@unknot.id)