Haoyu Wang

LearnTrack: Learning-Based Uncertainty Modeling for Kalman Filter Optimization in LiDAR-Based Multiobject Tracking

Accurate uncertainty characterization is essential for recursive state estimation in dynamic measurement systems. The Kalman filter (KF) has served as the predominant solution for processing measurement signals in such tasks. However, the KF assumes independent and identically distributed noise, which is frequently vio...