Runhao Zhong

STAGP: Spatio-Temporal Adaptive Graph Pooling Network for Pedestrian Trajectory Prediction

Predicting how pedestrians will move in the future is crucial for robot navigation, autonomous driving, and video surveillance. The complex interactions among pedestrians make it difficult to predict their future trajectory. Previous studies have primarily focused on modeling the interaction feature