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Awesome-Trajectory-Prediction

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This is a list of useful information about trajectory prediction. Related papers, datasets and codes are included.

Maintainer - Hao Xue

Contributing

Please feel free to pull requests to add new resources.

Papers

RNN Related

  • An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling, 2018, code
  • When will you do what? - Anticipating Temporal Occurrences of Activities, 2018 CVPR, code
  • Independently Recurrent Neural Network (IndRNN): Building A Longer and Deeper RNN, 2018 CVPR, code, keras-code, pytorch code
  • Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts, 2016 AAAI code

Trajectory Prediction Related

  • Path predictions using object attributes and semantic environment, 2019 VISIGRAPP, Paper
  • Probabilistic Path Planning using Obstacle Trajectory Prediction, 2019 CoDS-COMAD '19, Paper
  • Human Trajectory Prediction using Adversarial Loss, 2019 (from Alahi, conference unknown for now), Paper
  • Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs, 2019 CVPR Precognition Workshop, Paper, Code
  • Peeking into the Future: Predicting Future Person Activities and Locations in Videos, 2019 CVPR, Paper, Code
  • Learning to Infer Relations for Future Trajectory Forecast, 2019 CVPR Precognition Workshop, Paper
  • TraPHic: Trajectory Prediction in Dense and Heterogeneous Traffic Using Weighted Interactions, 2019 CVPR, Paper
  • Which Way Are You Going? Imitative Decision Learning for Path Forecasting in Dynamic Scenes, 2019 CVPR, Paper
  • Overcoming Limitations of Mixture Density Networks: A Sampling and Fitting Framework for Multimodal Future Prediction, 2019 CVPR, Paper
  • SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraints, 2019 CVPR, Paper
  • Multi-Agent Tensor Fusion for Contextual Trajectory Prediction, 2019 CVPR, Paper
  • Move, Attend and Predict: Anattention-based neural model for people’s movement prediction, 2018 Pattern Recognition Letters, Paper
  • Group LSTM: Group Trajectory Prediction in Crowded Scenarios, 2018 ECCV Workshop, Paper
  • Pedestrian Trajectory Prediction in Extremely Crowded Scenarios, 2019 Sensors (journal), Paper
  • The Simpler the Better: Constant Velocity for Pedestrian Motion Prediction, 2019, Paper
  • SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction, 2019 CVPR, Paper
  • Situation-Aware Pedestrian Trajectory Prediction with Spatio-Temporal Attention Model, 2019 Computer Vision Winter Workshop (CVWW), Paper
  • Depth Information Guided Crowd Counting for Complex Crowd Scenes, 2018
  • GD-GAN: Generative Adversarial Networks for Trajectory Prediction and Group Detection in Crowds, 2018 ACCV, Paper, Demo
  • Tracking by Prediction: A Deep Generative Model for Mutli-Person Localisation and Tracking, 2018 WACV
  • “Seeing is Believing”: Pedestrian Trajectory Forecasting Using Visual Frustum of Attention, 2018 WACV
  • Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks, 2018 CVPR, code
  • Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty, 2018 CVPR, [Paper], code+data
  • Encoding Crowd Interaction with Deep Neural Network for Pedestrian Trajectory Prediction, 2018 CVPR, [Paper], code
  • Human Trajectory Prediction using Spatially aware Deep Attention Models, 2017 arxiv, [Paper]
  • Context-Aware Trajectory Prediction, 2017 arxiv, [Paper]
  • Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection, 2017 arxiv, [Paper]
  • Forecasting Interactive Dynamics of Pedestrians with Fictitious Play, 2017 CVPR, [Paper]
  • Social LSTM: Human Trajectory Prediction in Crowded Spaces, 2016 CVPR, [Paper]
  • STF-RNN: Space Time Features-based Recurrent Neural Network for predicting People Next Location, 2016 SSCI, Keras-Code

Vehicle Trajectory Prediction

  • Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks, 2019 CVPR, Paper
  • Argoverse: 3D Tracking and Forecasting With Rich Maps, 2019 CVPR, Paper
  • Robust Aleatoric Modeling for Future Vehicle Localization, 2019 CVPR Precognition Workshop, Paper

Traffic Prediction

  • Deep Sequence Learning with Auxiliary Information for Traffic Prediction, 2018 KDD, Paper, Code

Datasets