Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Accurate prediction of others' trajectories is essential for autonomous driving. Trajectory prediction is challenging because it requires reasoning about agents' past movements, social interactions among varying numbers and kinds of agents, constraints from the scene context, and the stochasticity of human behavior. Our approach models these interactions and constraints jointly …