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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Vydané v:	Pattern recognition Ročník 120; s. 108136
Hlavní autori:	Rossi, Luca, Paolanti, Marina, Pierdicca, Roberto, Frontoni, Emanuele
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.12.2021
Predmet:	GANs LSTM Trajectory generation Trajectory prediction Trajectory prediction Trajectory generation LSTM GANs
ISSN:	0031-3203, 1873-5142
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