Seong-Jun Kim

Vehicle Trajectory Prediction via Neural Fusion of Multiple EKF-based Trajectory Candidates

A framework that fuses the output of Trajectron++, a neural network-based trajectory predictor, with extended Kalman filter (EKF)-based multiple trajectory candidates at a late stage indicates that EKF-based trajectory candidates can effectively complement neural trajectory prediction through learned fusion.