Social LSTM: Human Trajectory Prediction in Crowded Spaces

@article{Alahi2016SocialLH,
  title={Social LSTM: Human Trajectory Prediction in Crowded Spaces},
  author={Alexandre Alahi and Kratarth Goel and Vignesh Ramanathan and Alexandre Robicquet and Li Fei-Fei and Silvio Savarese},
  journal={2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2016},
  pages={961-971}
}
Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path to avoid collisions. This problem of trajectory prediction can be viewed as a sequence generation task, where we are interested in predicting the future trajectory of people based on their past positions. Following the recent success of Recurrent Neural Network… CONTINUE READING
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