Human trajectory prediction and generation using LSTM models and GANs

•New deep neural network models are proposed for trajectory prediction.•LSTM and GAN1 models are used for unimodal predictions, GAN3 model for multimodal.•Metrics are proposed for normalizing errors for more consistent comparisons.•New dataset are proposed with low linearity and a high diversity. Hu...

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Bibliographic Details

Published in:	Pattern recognition Vol. 120; p. 108136
Main Authors:	Rossi, Luca, Paolanti, Marina, Pierdicca, Roberto, Frontoni, Emanuele
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.12.2021
Subjects:	GANs LSTM Trajectory generation Trajectory prediction Trajectory prediction Trajectory generation LSTM GANs
ISSN:	0031-3203, 1873-5142
Online Access:	Get full text
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