Predicting trajectories of pedestrians using deep learning and classical knowledge-based models

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Predicting trajectories of pedestrians using deep learning and classical knowledge-based models

Review of Pedestrian Trajectory Prediction Methods: Comparing Deep Learning and Knowledge-based Approaches

This paper compares these relatively new deep learning algorithms with classical knowledge-based models that are widelyused to simulate pedestrian dynamics.

It provides a comprehensive literaturereview of both approaches, explores technical and application orienteddifferences, and addresses open questions as well as future developmentdirections.

Authors

Raphael Korbmacher, Antoine Tordeux

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