MotionDiffuser: Controllable Multi-Agent Motion Prediction using Diffusion

no code implementations • CVPR 2023 • Chiyu Max Jiang, Andre Cornman, Cheolho Park, Ben Sapp, Yin Zhou, Dragomir Anguelov

We present MotionDiffuser, a diffusion based representation for the joint distribution of future trajectories over multiple agents.

Motion Forecasting motion prediction

JFP: Joint Future Prediction with Interactive Multi-Agent Modeling for Autonomous Driving

no code implementations • 16 Dec 2022 • Wenjie Luo, Cheolho Park, Andre Cornman, Benjamin Sapp, Dragomir Anguelov

We propose JFP, a Joint Future Prediction model that can learn to generate accurate and consistent multi-agent future trajectories.

Autonomous Driving Future prediction

Narrowing the Coordinate-frame Gap in Behavior Prediction Models: Distillation for Efficient and Accurate Scene-centric Motion Forecasting

no code implementations • 8 Jun 2022 • DiJia Su, Bertrand Douillard, Rami Al-Rfou, Cheolho Park, Benjamin Sapp

These models are intrinsically invariant to translation and rotation between scene elements, are best-performing on public leaderboards, but scale quadratically with the number of agents and scene elements.

Knowledge Distillation Motion Forecasting +2