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SR-LSTM: State Refinement for LSTM Towards Pedestrian Trajectory Prediction

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References

1995Social force model for pedestrian dynamics6,870 cited
2005Self-Organized Pedestrian Crowd Dynamics: Experiments, Simulations, and Design Solutions1,468 cited
2007Crowds by Example1,171 cited
2010The Walking Behaviour of Pedestrian Social Groups and Its Impact on Crowd Dynamics1,120 cited
2018Social Attention: Modeling Attention in Human Crowds701 cited
2018Soft + Hardwired attention: An LSTM framework for human trajectory prediction and abnormal event detection376 cited
2013Robot companion: A social-force based approach with human awareness-navigation in crowded environments233 cited
2013HUMAN–ROBOT COLLISION AVOIDANCE USING A MODIFIED SOCIAL FORCE MODEL WITH BODY POSE AND FACE ORIENTATION52 cited

Cited by

2020Spatio-Temporal Graph Transformer Networks for Pedestrian Trajectory Prediction623 cited
2021Human Trajectory Forecasting in Crowds: A Deep Learning Perspective276 cited
2021AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction219 cited
2021Pedestrian trajectory prediction with convolutional neural networks136 cited

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