Learning Structured Representations for Trajectory Prediction in Crowded Scenes.
Published in IEEE Robotics and Automation Letters, Special Issue on Long-term Human Motion Prediction, 2021
Recommended citation: Davchev, Todor, Michael Burke, and Subramanian Ramamoorthy. "Learning Structured Representations of Spatial and Interactive Dynamics for Trajectory Prediction in Crowded Scenes." IEEE Robotics and Automation Letters 6, no. 2 (2020): 707-714. https://ieeexplore.ieee.org/document/9309332?source=authoralert
This paper is about learning modular methods that explictly allow for unsupervised adaptation of trajectory prediction models to unseen environments.