Jun Ma

Leveraging Scene-Invariant Priors for Autoregressive Human Trajectory Prediction

Accurate human trajectory prediction is essential for autonomous driving and robot navigation. Despite substantial progress, deep learning-based approaches often suffer from the train-inference gap caused by distributional discrepancies between training and test environments. The goal-guided framework mitigates this is...