Methods and systems include determining actions for agents in a driving scenario using a diffusion model, based on individual controllable behavior patterns for the agents. A state of the driving scenario is updated based on the determined actions for the plurality of agents. The determination of actions and the update of the state are repeated in a closed-loop fashion to generate simulated trajectories for the plurality of agents. A planner model is trained to select actions for an operating agent based on the simulated trajectories.
CLOSED-LOOP SIMULATOR FOR MULTIAGENT BEHAVIOR WITH CONTROLLABLE DIFFUSION
08.05.2025
Patent
Elektronische Ressource
Englisch
CLOSED-LOOP SIMULATOR FOR MULTIAGENT BEHAVIOR WITH CONTROLLABLE DIFFUSION
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