Human Trajectory Prediction via Neural Social Physics
Top Cited Papers
- 22 October 2022
- book chapter
- Published by Springer Nature
- p. 376-394
Abstract
No abstract availableKeywords
All Related Versions
This publication has 58 references indexed in Scilit:
- Generating Pedestrian Trajectories Consistent with the Fundamental Diagram Based on Physiological and Psychological FactorsPLOS ONE, 2015
- A Data‐Driven Framework for Visual Crowd AnalysisComputer Graphics Forum, 2014
- Parameter estimation and comparative evaluation of crowd simulationsComputer Graphics Forum, 2014
- Application of social force model to pedestrian behavior analysis at signalized crosswalkTransportation Research Part C: Emerging Technologies, 2014
- Trajectory Analysis and Semantic Region Modeling Using Nonparametric Hierarchical Bayesian ModelsInternational Journal of Computer Vision, 2011
- Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings2010
- Agent‐based human behavior modeling for crowd simulationComputer Animation and Virtual Worlds, 2008
- Crowds by ExampleComputer Graphics Forum, 2007
- A Bayesian computer vision system for modeling human interactionsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Social force model for pedestrian dynamicsPhysical Review E, 1995