Future-Interactions-Aware Trajectory Prediction via Braid Theory

ArXi:2603.22035v1 Announce Type: new To safely operate, an autonomous vehicle must know the future behavior of a potentially high number of interacting agents around it, a task often posed as multi-agent trajectory prediction. Many previous attempts to model social interactions and solve the joint prediction task either add extensive computational requirements or rely on heuristics to label multi-agent behavior types.