Ship Trajectory Prediction Based on Bi-LSTM Using Spectral-Clustered AIS Data

According to the statistics of maritime accidents, most collision accidents have been caused by human factors. In an encounter situation, the prediction of ship’s trajectory is a good way to notice the intention of the other ship. This paper proposes a methodology for predicting the ship’s trajector...

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Autori principali:	Jinwan Park, Jungsik Jeong, Youngsoo Park
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	MDPI AG 2021-09-01
Serie:	Journal of Marine Science and Engineering
Soggetti:	ship trajectory prediction intelligent collision avoidance maritime accidents spectral clustering Bi-LSTM GRU
Accesso online:	https://www.mdpi.com/2077-1312/9/9/1037
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