[HTML][HTML] Ship trajectory prediction based on machine learning and deep learning: A systematic review and methods analysis
Ship trajectory prediction based on Automatic Identification System (AIS) data has attracted
increasing interest as it helps prevent collision accidents and eliminate potential …
increasing interest as it helps prevent collision accidents and eliminate potential …
[HTML][HTML] AIS data-driven ship trajectory prediction modelling and analysis based on machine learning and deep learning methods
Maritime transport faces new safety challenges in an increasingly complex traffic
environment caused by large-scale and high-speed ships, particularly with the introduction …
environment caused by large-scale and high-speed ships, particularly with the introduction …
The application of artificial intelligence technology in ship**: A bibliometric review
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industry to advance its development. In this study, 476 articles published in the Science …
industry to advance its development. In this study, 476 articles published in the Science …
[HTML][HTML] Deep bi-directional information-empowered ship trajectory prediction for maritime autonomous surface ships
It is critical to have accurate ship trajectory prediction for collision avoidance and intelligent
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …
traffic management of manned ships and emerging Maritime Autonomous Surface Ships …
[HTML][HTML] Systems driven intelligent decision support methods for ship collision and grounding prevention: Present status, possible solutions, and challenges
Despite advancements in science and technology, ship collisions and groundings remain
the most prevalent types of maritime accidents. Recent developments in accident prevention …
the most prevalent types of maritime accidents. Recent developments in accident prevention …
[HTML][HTML] Bi-directional information fusion-driven deep network for ship trajectory prediction in intelligent transportation systems
Accurate ship trajectory prediction (STP) is crucial to realise the early warning of ship
collision and ensure maritime safety. Driven by advancements in artificial intelligence …
collision and ensure maritime safety. Driven by advancements in artificial intelligence …
Spatio-temporal multi-graph transformer network for joint prediction of multiple vessel trajectories
The vessel trajectory prediction plays a vital role in guaranteeing traffic safety for unmanned
surface vehicles and autonomous surface vessels. By leveraging advanced satellite …
surface vehicles and autonomous surface vessels. By leveraging advanced satellite …
STMGF-Net: a spatiotemporal multi-graph fusion network for vessel trajectory forecasting in intelligent maritime navigation
J Jiang, Y Zuo, Y **ao, W Zhang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Artificial intelligence and Automatic Identification Systems (AIS) play pivotal roles in
intelligent maritime navigation for the modern maritime industry. Many artificial intelligence …
intelligent maritime navigation for the modern maritime industry. Many artificial intelligence …
[HTML][HTML] Harnessing the power of Machine learning for AIS Data-Driven maritime Research: A comprehensive review
Abstract Automatic Identification System (AIS) data holds immense research value in the
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …
maritime industry because of its massive scale and the ability to reveal the spatial–temporal …