ST-Bayes: Robust Radar Odometry in Dynamic Environments via Student’s T-Distribution Temporal Bayesian Learning
The problem of ego-motion estimation for automotive multiple-input multiple-output (MIMO) radar is studied in this article. Conventional methods for ego-motion estimation, such as random sample consensus (RANSAC) and its variants, fail when facing more dynamic driving scenarios, i.e., those where many and diverse movin...