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Pedestrian trajectory prediction with convolutional neural networks
11 references·3 citing·19 second hop
Pedestrian trajectory prediction with convolutional neural networks (2021)Pedestrian trajectory prediction with con…Human Trajectory Forecasting in Crowds: A Deep Learning Perspective (2021)Human Trajectory Forecasting …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 Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs (2019)Social Ways: Learning Multi-M…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…Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction (2018)Encoding Crowd Interaction wi…Context-Aware Trajectory Prediction (2018)Context-Aware Trajectory Pred…A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments (2018)A Data-driven Model for Inter…Crowds by Example (2007)Crowds by ExampleSocial force model for pedestrian dynamics (1995)Social force model for pedest…A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting (2023)A Decomposition Dynamic graph…Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches (2022)Review of Pedestrian Trajecto…RETRACTED ARTICLE: Application of artificial intelligence technology in financial data inspection and manufacturing bond default prediction in small and medium-sized enterprises (SMEs) (2022)RETRACTED ARTICLE: Applicatio…T HE F LOW OF H UMAN C ROWDS (2002)Continuum crowds (2006)Field Theory in Social Science (1952)Field Theory in Social Science (1953)The Statistics of Crowd Fluids (1971)Understanding pedestrian behaviors from stationary crowd groups (2015)A System for the Notation of Proxemic Behavior1 (1963)Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction (2020)Agent-based modeling: Methods and techniques for simulating human systems (2002)Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions (2005)AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction (2021)Simulating dynamical features of escape panic (2000)Simulation of pedestrian dynamics using a two-dimensional cellular automaton (2001)Interpretable Social Anchors for Human Trajectory Forecasting in Crowds (2021)SocNavBench: A Grounded Simulation Testing Framework for Evaluating Social Navigation (2022)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Graph WaveNet for Deep Spatial-Temporal Graph Modeling (2019)Recursive Social Behavior Graph for Trajectory Prediction (2020)
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References

  • 1995Social force model for pedestrian dynamics7,112 cited
  • 2007Crowds by Example1,210 cited
  • 2019STGAT: Modeling Spatial-Temporal Interactions for Human Trajectory Prediction712 cited
  • 2018Social Attention: Modeling Attention in Human Crowds710 cited
  • 2019SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction592 cited
  • 2018Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection385 cited
  • 2019Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories With GANs351 cited
  • 2021Human Trajectory Forecasting in Crowds: A Deep Learning Perspective296 cited
  • 2018Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction292 cited
  • 2018Context-Aware Trajectory Prediction201 cited
  • 2018A Data-driven Model for Interaction-Aware Pedestrian Motion Prediction in Object Cluttered Environments116 cited

Cited by

  • 2023A Decomposition Dynamic graph convolutional recurrent network for traffic forecasting282 cited
  • 2022Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-Based Approaches195 cited
  • 2022RETRACTED ARTICLE: Application of artificial intelligence technology in financial data inspection and manufacturing bond default prediction in small and medium-sized enterprises (SMEs)

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10 cited