Chenqi Xu

Interpretable Interaction Modeling for Trajectory Prediction via Agent Selection and Physical Coefficient

A thorough understanding of the interaction between the target agent and surrounding agents is a prerequisite for accurate trajectory prediction. Although many methods have been explored, they assign correlation coefficients to surrounding agents in a purely learning-based manner. In this study, we