This project aims to predict pedestrian future trajectory for robot navigation when they share space in crowded area.

This project collects naturally crowded pedestrain datasets from metro stations and plazas in Hong Kong by calibrated lidar and camera system

This project used an attention-based social ppoling layer, to model interactions among pedestrians

This project valid the method with collected data in terms of average displacement error and final displacement error.