Multi-Agent Motion Prediction for Autonomous Vehicle

– Autoregressive language models expand to predict behaviors in data domains like audio and images.

– Can sequence models be used to forecast road agent behaviors similarly to language models?

– Decomposing agent behaviors into independent distributions has limitations.

– Waymo's MotionLM frames motion prediction as a language modeling task.

– It simplifies training by avoiding complex variable optimization methods.

– MotionLM directly constructs joint distributions over future actions of multiple actors.

– This integration improves effectiveness and realism in forecasting road agent actions.

– MotionLM outperforms other methods in forecasting road agent actions, as per Waymo Open Motion Dataset.

– It's an innovative and beneficial advancement in multi-agent motion prediction for autonomous vehicles.