S2TNet: Spatio-Temporal Transformer Networks for Trajectory Prediction in Autonomous Driving

1 code implementation • 22 Jun 2022 • Weihuang Chen, Fangfang Wang, Hongbin Sun

To safely and rationally participate in dense and heterogeneous traffic, autonomous vehicles require to sufficiently analyze the motion patterns of surrounding traffic-agents and accurately predict their future trajectories.

Autonomous Driving Trajectory Prediction