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[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 …
Metamodel-based simulation optimization: A systematic literature review
JVS do Amaral, JAB Montevechi… - … Modelling Practice and …, 2022 - Elsevier
Over the past few decades, modeling, simulation, and optimization tools have received
attention for their ability to represent and improve complex systems. The use of …
attention for their ability to represent and improve complex systems. The use of …
[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 …
An interpretable knowledge-based decision support method for ship collision avoidance using AIS data
AIS data include ship spatial-temporal and motion parameters which can be used to
excavate the deep-seated information. In this article, an interpretable knowledge-based …
excavate the deep-seated information. In this article, an interpretable knowledge-based …
A novel data-driven method of ship collision risk evolution evaluation during real encounter situations
Aiming at realizing collision risk quantitative evaluation among encounter ships, a novel
data-driven evolution model is proposed concerning encounter evolution in maritime …
data-driven evolution model is proposed concerning encounter evolution in maritime …
A TDV attention-based BiGRU network for AIS-based vessel trajectory prediction
Automatic identification system (AIS) is a vessel-based system for the automatic broadcast
and reception of vessel information, and it also supports data for trajectory prediction. Since …
and reception of vessel information, and it also supports data for trajectory prediction. Since …
FB-BiGRU: A Deep Learning model for AIS-based vessel trajectory curve fitting and analysis
Abstract The marine vessel Automatic Identification System (AIS) broadcast is a system with
no-response mechanism, so there are missing data from the received AIS vessel trajectory …
no-response mechanism, so there are missing data from the received AIS vessel trajectory …
Autonomous collision avoidance at sea: A survey
HC Burmeister, M Constapel - Frontiers in Robotics and AI, 2021 - frontiersin.org
In this survey, results from an investigation on collision avoidance and path planning
methods developed in recent research are provided. In particular, existing methods based …
methods developed in recent research are provided. In particular, existing methods based …
Survey on cooperative collision avoidance research for ships
Communication among the ships can provide additional information that assists ships in
negotiating and collaborating with others to take effective actions. This article provides a …
negotiating and collaborating with others to take effective actions. This article provides a …
[HTML][HTML] Vessel trajectory prediction with recurrent neural networks: An evaluation of datasets, features, and architectures
Maritime situational awareness tasks such as port management, collision avoidance, and
search-and-rescue missions rely on accurate knowledge of vessel locations. The availability …
search-and-rescue missions rely on accurate knowledge of vessel locations. The availability …