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 scenario information. https://chefesquipmenters.shop/product-category/demi-tasse-spoons/
Multi-granularity scenarios understanding network for trajectory prediction
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