Pedestrian Trajectory Prediction with Convolutional Neural Networks

Simone Zamboni, Zekarias Tilahun Kefato, Sarunas Girdzijauskas +2

Predicting the future trajectories of pedestrians is a challenging problem that has a range of application, from crowd surveillance to autonomous driving. In literature, methods to…