[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] COLREG and MASS: Analytical review to identify research trends and gaps in the Development of Autonomous Collision Avoidance
Abstract Maritime Autonomous Surface Ships (MASS) face regulatory challenges, with some
suggesting that the existing Collision Regulations (COLREG) present linguistic barriers for …
suggesting that the existing Collision Regulations (COLREG) present linguistic barriers for …
[HTML][HTML] A deep learning method for the prediction of ship fuel consumption in real operational conditions
In recent years, the European Commission and the International Maritime Organization
(IMO) implemented various operational measures and policies to reduce ship fuel …
(IMO) implemented various operational measures and policies to reduce ship fuel …
[HTML][HTML] Multi-scale collision risk estimation for maritime traffic in complex port waters
Ship collision risk estimation is an essential component of intelligent maritime surveillance
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …
systems. Traditional risk estimation approaches, which can only analyze traffic risk in one …
[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] Maritime traffic partitioning: An adaptive semi-supervised spectral regularization approach for leveraging multi-graph evolutionary traffic interactions
Maritime situational awareness (MSA) has long been a critical focus within the domain of
maritime traffic surveillance and management. The increasing complexities of ship traffic …
maritime traffic surveillance and management. The increasing complexities of ship traffic …
Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data
With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …
advancement of relevant satellite communication technologies, a vast amount of vessel …
[HTML][HTML] Graph-based ship traffic partitioning for intelligent maritime surveillance in complex port waters
Abstract Maritime Situational Awareness (MSA) is a critical component of intelligent maritime
traffic surveillance. However, it becomes increasingly challenging to gain MSA accurately …
traffic surveillance. However, it becomes increasingly challenging to gain MSA accurately …
[HTML][HTML] Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application
values in the maritime industry. However, using such big data from the Automatic …
values in the maritime industry. However, using such big data from the Automatic …
[HTML][HTML] A data-driven risk model for maritime casualty analysis: A global perspective
Maritime casualty analysis needs to be addressed given the increasing safety demand in the
field due to the accidents' low-frequency and high-consequence features. This paper aims to …
field due to the accidents' low-frequency and high-consequence features. This paper aims to …