Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
Yujie Tang,Liang Hu,Qingrui Zhang,Wei Pan,Yujie Tang,Liang Hu,Qingrui Zhang,Wei Pan
Inertial measurement units are widely used in different fields to estimate the attitude. Many algorithms have been proposed to improve estimation performance. However, most of them still suffer from 1) inaccurate initial estimation, 2) inaccurate initial filter gain, and 3) non-Gaussian process and/or measurement noise. This paper will leverage reinforcement learning to compensate for the classica...
