Conditioned Human Trajectory Prediction using Iterative Attention Blocks
Aleksey Postnikov,Aleksander Gamayunov,Gonzalo Ferrer,Aleksey Postnikov,Aleksander Gamayunov,Gonzalo Ferrer
Human motion prediction is key to understand social environments, with direct applications in robotics, surveil-lance, etc. We present a simple yet effective pedestrian trajectory prediction model aimed at pedestrians' positions prediction in urban-like environments conditioned by the environment: map and surround agents. Our model is a neural-based architecture that can run several layers of atte...
