CVPR2025

Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment

Hiromu Taketsugu, Takeru Oba, Takahiro Maeda, Shohei Nobuhara, Norimichi Ukita

摘要

This supplementary material covers details and additional results that could not be included in the main manuscript due to page limitations. First, Sec. A describes the implementation details and experimental setup. Section B presents additional results with EmLoco loss, including results on another real-world dataset, additional analyses, and more qualitative evaluation. Section C provides further evaluations of the LocoVal filter, including results with different HTP network baselines, detailed analyses, and visualizations. Lastly, Sec. D discusses failure cases and possible future directions.