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STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction
6 references·6 citing·20 second hop
STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction (2019)STGAT: Modeling Spatial-Temporal Interact…Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection (2018)Soft + Hardwired attention: A…Social Attention: Modeling Attention in Human Crowds (2018)Social Attention: Modeling At…Crowds by Example (2007)Crowds by ExampleContinuum crowds (2006)Continuum crowdsDiscrete choice models of pedestrian walking behavior (2005)Discrete choice models of ped…Social force model for pedestrian dynamics (1995)Social force model for pedest…Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches (2022)Review of Pedestrian Trajecto…Pedestrian trajectory prediction with convolutional neural networks (2021)Pedestrian trajectory predict…Human Trajectory Forecasting in Crowds: A Deep Learning Perspective (2021)Human Trajectory Forecasting …AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction (2021)AST-GNN: An attention-based s…Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction (2020)Spatio-Temporal Graph Transfo…Recursive Social Behavior Graph for Trajectory Prediction (2020)Recursive Social Behavior Gra…Discrete Choice Analysis: Theory and Application to Travel Demand (1987)Simulating dynamical features of escape panic (2000)Modeling crowd evacuation of a building based on seven methodological approaches (2008)The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics (2010)How simple rules determine pedestrian behavior and crowd disasters (2011)T HE F LOW OF H UMAN C ROWDS (2002)Universal Power Law Governing Pedestrian Interactions (2014)Field Theory in Social Science (1952)Field Theory in Social Science (1953)The Statistics of Crowd Fluids (1971)A continuum theory for the flow of pedestrians (2002)Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics (2002)Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions (2005)On the Modeling of Traffic and Crowds: A Survey of Models, Speculations, and Perspectives (2011)State-of-the-art crowd motion simulation models (2013)A System for the Notation of Proxemic Behavior1 (1963)Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs (2019)Simulation of pedestrian dynamics using a two-dimensional cellular automaton (2001)SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction (2019)Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction (2022)
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References

  • 1995Social force model for pedestrian dynamics6,870 cited
  • 2007Crowds by Example1,171 cited
  • 2006Continuum crowds889 cited
  • 2018Social Attention: Modeling Attention in Human Crowds701 cited
  • 2005Discrete choice models of pedestrian walking behavior591 cited
  • 2018Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection376 cited

Cited by

  • 2020Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction623 cited
  • 2021Human Trajectory Forecasting in Crowds: A Deep Learning Perspective276 cited
  • 2020Recursive Social Behavior Graph for Trajectory Prediction229 cited
  • 2021AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction219 cited
  • 2022Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches183 cited
  • 2021Pedestrian trajectory prediction with convolutional neural networks136 cited

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