A Data-Driven Model for Pedestrian Behavior Classification and Trajectory Prediction
Author:
Affiliation:
1. School of Rural, Surveying and Geoinformatics Engineering (SRSE), National Technical University of Athens, Zografou, Greece
Funder
It is cofinanced by Greece and the European Union European Social Fund ESF
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Science Applications,Mechanical Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/8784355/9680328/09762760.pdf?arnumber=9762760
Reference56 articles.
1. A mathematical model for the behavior of pedestrians
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4. Classification of pedestrian behavior using real trajectory data
5. Pedestrian Trajectory Prediction Based on Deep Convolutional LSTM Network
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