TAE: A Semi-supervised Controllable Behavior-aware Trajectory Generator and Predictor

no code implementations • 2 Mar 2022 • Ruochen Jiao, Xiangguo Liu, Bowen Zheng, Dave Liang, Qi Zhu

Our model addresses trajectory generation and prediction in a unified architecture and benefits both tasks: the model can generate diverse, controllable and realistic trajectories to enhance planner optimization in safety-critical and long-tailed scenarios, and it can provide prediction of critical behavior in addition to the final trajectories for decision making.

Decision Making