Multi-granularity scenarios understanding network for trajectory prediction
Abstract Understanding agents’ motion behaviors under complex scenes is crucial for intelligent autonomous moving systems (like delivery robots and self-driving cars).It is challenging duo to the inherent uncertain of future trajectories and the large variation in the scene layout.However, most recent approaches ignored or underutilized the scena