A Data-Driven Approach for Collision Risk Early Warning in Vessel Encounter Situations Using Attention-BiLSTM

A Data-Driven Approach for Collision Risk Early Warning in Vessel Encounter Situations Using Attention-BiLSTM

Collision risk early warning is critical to sailing safety in vessel encounter situations because it provides ship officers with sufficient time to react to emergencies and take evasive actions in advance. In this study, we take spatiotemporal motion behaviors of encountering vessels into account si...

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Bibliographic Details
Main Authors: Jie Ma, Chengfeng Jia, Xin Yang, Xiaochun Cheng, Wenkai Li, Chunwei Zhang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Collision risk
vessel encounter
early warning
spatial-temporal model
bidirectional LSTM
attention mechanism
Online Access:https://ieeexplore.ieee.org/document/9226436/

Internet

https://ieeexplore.ieee.org/document/9226436/

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