Leveraging Smooth Attention Prior for Multi-Agent Trajectory Prediction
Zhangjie Cao,Erdem Biyik,Guy Rosman,Dorsa Sadigh,Zhangjie Cao,Erdem Biyik,Guy Rosman,Dorsa Sadigh
Multi-agent interactions are important to model for forecasting other agents' behaviors and trajectories. At a certain time, to forecast a reasonable future trajectory, each agent needs to pay attention to the interactions with only a small group of most relevant agents instead of unnecessarily paying attention to all the other agents. However, existing attention modeling works ignore that human a...
