Comprehensive Multi-class Trajectory Prediction using Social Force Embedded Mixed Graph Convolutional Network

The proposed SFEM-GCN model effectively captures social interactions among different classes of agents by constructing a mixed graph convolutional network that integrates semantic, position, and velocity information, leading to accurate multi-class trajectory prediction.