Human Trajectory Prediction via Counterfactual Analysis
Human Trajectory Prediction via Counterfactual Analysis
Forecasting human trajectories in complex dynamic environments plays a critical role in autonomous vehicles and intelligent robots. Most existing methods learn to predict future trajectories by behavior clues from history trajectories and interaction clues from environments. However, the inherent bias between training and deployment environments is ignored. Hence, we propose …