Anomaly detection in maritime AIS tracks: A review of recent approaches

K Wolsing, L Roepert, J Bauer, K Wehrle - Journal of Marine Science and …, 2022 - mdpi.com
The automatic identification system (AIS) was introduced in the maritime domain to increase
the safety of sea traffic. AIS messages are transmitted as broadcasts to nearby ships and …

Data and domain knowledge dual‐driven artificial intelligence: Survey, applications, and challenges

J Nie, J Jiang, Y Li, H Wang, S Ercisli, L Lv - Expert Systems, 2023 - Wiley Online Library
At present, the mainstream mode of machine learning algorithms is the data‐driven method,
which mainly relies on the self‐learning ability of deep neural networks and continuously …

COVID-19 impact on global maritime mobility

LM Millefiori, P Braca, D Zissis, G Spiliopoulos… - Scientific reports, 2021 - nature.com
To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the
world went into lockdown and imposed unprecedented containment measures. These …

Unsupervised maritime anomaly detection for intelligent situational awareness using AIS data

M Liang, L Weng, R Gao, Y Li, L Du - Knowledge-Based Systems, 2024 - Elsevier
With the mandatory implementation of the automatic identification system and the rapid
advancement of relevant satellite communication technologies, a vast amount of vessel …

Envclus*: Extracting common pathways for effective vessel trajectory forecasting

N Zygouras, A Troupiotis-Kapeliaris, D Zissis - IEEE Access, 2024 - ieeexplore.ieee.org
The task of accurately forecasting the trajectory of a vessel, and in general a moving object
operating in free space until its destination remains an open challenge. This paper …

Space-based global maritime surveillance. Part II: Artificial intelligence and data fusion techniques

G Soldi, D Gaglione, N Forti… - IEEE Aerospace and …, 2021 - ieeexplore.ieee.org
Maritime surveillance (MS) is of paramount importance for search and rescue operations,
fishery monitoring, pollution control, law enforcement, migration monitoring, and national …

A comparison of trajectory compression algorithms over AIS data

A Makris, I Kontopoulos, P Alimisis, K Tserpes - IEEE Access, 2021 - ieeexplore.ieee.org
Today's industry is flooded with tracking data originating from vessels across the globe that
transmit their position at frequent intervals. These voluminous and high-speed streams of …

Maritime anomaly detection for vessel traffic services: a survey

T Stach, Y Kinkel, M Constapel… - Journal of Marine Science …, 2023 - mdpi.com
A Vessel Traffic Service (VTS) plays a central role in maritime traffic safety. Regulations are
given by the International Maritime Organization (IMO) and Guidelines by the International …

An approach for traffic pattern recognition integration of ship AIS data and port geospatial features

G Li, X Zhang, L Jiang, C Wang… - Geo-spatial Information …, 2024 - Taylor & Francis
Recognition of ship traffic patterns can provide insights into the rules of navigation,
maneuvering, and collision avoidance for ships at sea. This is essential for ensuring safe …

Understanding evolution of maritime networks from automatic identification system data

E Carlini, VM de Lira, A Soares, M Etemad, B Brandoli… - GeoInformatica, 2022 - Springer
Recent studies on maritime traffic model the interplay between vessels and ports as a graph,
which is often built using automatic identification system (AIS) data. However, only a few …