Pedestrian trajectory prediction using BiRNN encoder-decoder framework

Autonomous mobile robots navigating through human crowds are required to foresee the future trajectories of surrounding pedestrians and accordingly plan safe paths to avoid any possible collision. This paper presents a novel approach for pedestrian trajectory prediction. In particular, we developed...

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Bibliographic Details

Published in:	Advanced robotics Vol. 33; no. 18; pp. 956 - 969
Main Authors:	Wu, Jiaxu, Woo, Hanwool, Tamura, Yusuke, Moro, Alessandro, Massaroli, Stefano, Yamashita, Atsushi, Asama, Hajime
Format:	Journal Article
Language:	English
Published:	Taylor & Francis 17.09.2019
Subjects:	artificial neural network (ANN) encoder-decoder framework Pedestrian trajectory prediction
ISSN:	0169-1864, 1568-5535
Online Access:	Get full text
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