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

Author:

Korbmacher Raphael1ORCID,Tordeux Antoine1

Affiliation:

1. Chair of Traffic Safety and Reliability, University of Wuppertal, Wuppertal, Germany

Funder

Franco-German Research Project Multi-Agent Modelling of Dense Crowd Dynamics: Predict & Understand (MADRAS) through the Agence Nationale de la Recherche (ANR, French National Research Agency), France

Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Germany

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

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5. Sequence to sequence learning with neural networks;sutskever;Proc Adv Neural Inf Process Syst,2014

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