Ariyan Bighashdel

Unified Pedestrian Path Prediction Using Inverse Reinforcement Learning

The proposed learning-task formulations improve prediction performance across the selected benchmark datasets compared with the standard supervised-learning formulation and demonstrate that reformulating the decision process and training objective can improve an advanced pedestrian trajectory prediction architecture.