Self-critical Learning of Influencing Factors for Trajectory Prediction using Gated Graph Convolutional Network
Niraj Bhujel,Yau Wei Yun,Han Wang,Vijay Prakash Dwivedi,Niraj Bhujel,Yau Wei Yun,Han Wang,Vijay Prakash Dwivedi
Forecasting future trajectories of multiple pedestrians in a crowded environment is a challenging problem due to the complex interactions among the pedestrians. The interactions can be asymmetric and their influences may vary over time. Moreover, each pedestrian can exhibit different behavior at any given time and context and thus they may have multiple future possible trajectories. In this work, ...
