Fengbo Luo

Goal-Guided and Interaction-Aware State Refinement Graph Attention Network for Multi-Agent Trajectory Prediction

Multi-agent trajectory prediction plays a pivotal role for intelligent transportation and autonomous driving. Modeling the social interaction among agents and revealing the inherent relationship between interaction and future trajectory are crucial for accurate trajectory prediction. To address thes