Yuka Kato

Spatio-Temporal Graph-Based Pedestrian Trajectory Prediction with Environmental Context Integration and Constraint Learning *

Accurate pedestrian trajectory prediction is fundamental for safe navigation of autonomous robots and vehicles in crowded environments. Although graph-based methods such as Social-STGCNN efficiently model social interactions among pedestrians, they largely ignore static environmental constraints such as walls and obsta...