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Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction
7 references·5 citing·22 second hop
Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction (2020)Spatio-Temporal Graph Transformer Network…Transformer-Based Capsule Network For Stock Movement Prediction (2019)Transformer-Based Capsule Net…STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction (2019)STGAT: Modeling Spatial-Tempo…SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction (2019)SR-LSTM: State Refinement for…Social Attention: Modeling Attention in Human Crowds (2018)Social Attention: Modeling At…Robot companion: A social-force based approach with human awareness-navigation in crowded environments (2013)Robot companion: A social-for…Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions (2005)Self-Organized Pedestrian Cro…Social force model for pedestrian dynamics (1995)Social force model for pedest…Towards explainable traffic flow prediction with large language models (2024)Towards explainable traffic f…When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks (2023)When Spatio-Temporal Meet Wav…Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction (2022)Synchronous Spatiotemporal Gr…Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches (2022)Review of Pedestrian Trajecto…Human Trajectory Forecasting in Crowds: A Deep Learning Perspective (2021)Human Trajectory Forecasting …The Hidden Dimension (1973)Development and evaluation of an interactive humanoid robot "Robovie" (2003)How may I serve you? (2006)Escaping from Children's Abuse of Social Robots (2015)Recent trends in social aware robot navigation: A survey (2017)Foundations of social theory (1990)Foundations of Social Theory (1991)Dynamics of crowd disasters: An empirical study (2007)The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics (2010)Field Theory in Social Science (1952)Field Theory in Social Science (1953)The Statistics of Crowd Fluids (1971)A System for the Notation of Proxemic Behavior1 (1963)Crowds by Example (2007)Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs (2019)Continuum crowds (2006)Recursive Social Behavior Graph for Trajectory Prediction (2020)Simulating dynamical features of escape panic (2000)Simulation of pedestrian dynamics using a two-dimensional cellular automaton (2001)ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed (2020)AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction (2021)Pedestrian trajectory prediction with convolutional neural networks (2021)
this work references cited by second hop

References

  • 1995Social force model for pedestrian dynamics6,870 cited
  • 2005Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions1,468 cited
  • 2018Social Attention: Modeling Attention in Human Crowds701 cited
  • 2019STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction691 cited
  • 2019SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction578 cited
  • 2013Robot companion: A social-force based approach with human awareness-navigation in crowded environments233 cited
  • 2019Transformer-Based Capsule Network For Stock Movement Prediction54 cited

Cited by

  • 2021Human Trajectory Forecasting in Crowds: A Deep Learning Perspective276 cited
  • 2022Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches183 cited
  • 2022Synchronous Spatiotemporal Graph Transformer: A New Framework for Traffic Data Prediction162 cited
  • 2023When Spatio-Temporal Meet Wavelets: Disentangled Traffic Forecasting via Efficient Spectral Graph Attention Networks160 cited
  • 2024Towards explainable traffic flow prediction with large language models150 cited

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