Open access
Jul 2026
Embodied cognition-driven interpretable trajectory prediction of autonomous systems
The study presents an interpretable method for predicting future paths of vehicles and pedestrians by combining scene-level attention, graph-based social interaction reasoning, and physics-based motion constraints, improving accuracy, safety, and speed while enabling transparent decisions.
Xiao Wang, Quancheng Du, Qiong Wu et al.
· Nature Communications · 0 citations