Human Trajectory Prediction via Counterfactual Analysis

Posted 4 months, 1 week ago
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Human Trajectory Prediction via Counterfactual Analysis
Guangyi Chen
Computers & Internet

Forecasting human trajectories in complex dynamic environments play 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 a counterfactual analysis method for human trajectory prediction to investigate the causality between the predicted trajectories and input clues and alleviate the negative effects brought by environment bias.