2022
RIO: Rotation-Equivariance Supervised Learning of Robust Inertial Odometry
CVPR 2022poster
This paper introduces rotation-equivariance as a self-supervisor to train inertial odometry models. We demonstrate that the self-supervised scheme provides a powerful supervisory signal at training phase as well as at inference stage. It reduces the reliance on massive amounts of labeled data for tr…