Uncertainty-Aware Recurrent Encoder-Decoder Networks for Vessel Trajectory Prediction

In this paper, we propose a deep learning framework for sequence-to-sequence vessel trajectory prediction based on encoder-decoder recurrent neural networks to learn the predictive distribution of maritime patterns from historical Automatic Identification System data and sequentially generate future...

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Bibliographic Details

Published in:	2021 IEEE 24th International Conference on Information Fusion (FUSION) pp. 1 - 5
Main Authors:	Capobianco, Samuele, Forti, Nicola, Millefiori, Leonardo M., Braca, Paolo, Willett, Peter
Format:	Conference Proceeding
Language:	English
Published:	International Society of Information Fusion (ISIF) 01-11-2021
Subjects:	Computational modeling Computer architecture Deep learning Monte Carlo methods Predictive models Recurrent neural networks Uncertainty
Online Access:	Get full text
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