RIO: Rotation-equivariance supervised learning of robust inertial odometry

Xiya Cao, Caifa Zhou, Dandan Zeng, Yongliang Wang. RIO: Rotation-equivariance supervised learning of robust inertial odometry. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 6604-6613, IEEE, 2022. [doi]

@inproceedings{CaoZZW22-0,
  title = {RIO: Rotation-equivariance supervised learning of robust inertial odometry},
  author = {Xiya Cao and Caifa Zhou and Dandan Zeng and Yongliang Wang},
  year = {2022},
  doi = {10.1109/CVPR52688.2022.00650},
  url = {https://doi.org/10.1109/CVPR52688.2022.00650},
  researchr = {https://researchr.org/publication/CaoZZW22-0},
  cites = {0},
  citedby = {0},
  pages = {6604-6613},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-6946-3},
}