A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network

A Ship Trajectory Prediction Framework Based on a Recurrent Neural Network

Ship trajectory prediction is a key requisite for maritime navigation early warning and safety, but accuracy and computation efficiency are major issues still to be resolved. The research presented in this paper introduces a deep learning framework and a Gate Recurrent Unit (GRU) model to predict ve...

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Bibliographic Details
Main Authors:	Yongfeng Suo, Wenke Chen, Christophe Claramunt, Shenhua Yang
Format:	Article
Language:	English
Published:	MDPI AG 2020-09-01
Series:	Sensors
Subjects:	trajectory prediction deep learning DBSCAN GRU LSTM redundant data
Online Access:	https://www.mdpi.com/1424-8220/20/18/5133

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