2 papers
stat.ML2021
RIO: Rotation-equivariance supervised learning of robust inertial odometry
Caifa Zhou, Xiya Cao, Dandan Zeng +1
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 s…
stat.AP2021
Mining geometric constraints from crowd-sourced radio signals and its application to indoor positioning
Caifa Zhou, Zhi Li, Dandan Zeng +1
Crowd-sourcing has become a promising way to build} a feature-based indoor positioning system that has lower labour and time costs. It can make full use of the widely deployed infr…