Grouptron: Dynamic Multi-Scale Graph Convolutional Networks for Group-Aware Dense Crowd Trajectory Forecasting
Rui Zhou,Hongyu Zhou,Huidong Gao,Masayoshi Tomizuka,Jiachen Li,Zhuo Xu,Rui Zhou,Hongyu Zhou,Huidong Gao,Masayoshi Tomizuka,Jiachen Li,Zhuo Xu
Accurate, long-term forecasting of pedestrian trajectories in highly dynamic and interactive scenes is a longstanding challenge. Recent advances in using data-driven approaches have achieved significant improvements in terms of prediction accuracy. However, the lack of group-aware analysis has limited the performance of forecasting models. This is especially nonnegligible in highly crowded scenes,...
