AIS-based maritime anomaly traffic detection: A review

CV Ribeiro, A Paes, D de Oliveira - Expert Systems with Applications, 2023 - Elsevier
Maritime transportation plays an essential role in global trade. Due to the huge number of
vessels worldwide, there is also a non-negligible volume of Maritime incidents such as …

Review and classification of trajectory summarisation algorithms: From compression to segmentation

D Amigo, D Sánchez Pedroche… - … of Distributed Sensor …, 2021 - journals.sagepub.com
With the continuous development and cost reduction of positioning and tracking
technologies, a large amount of trajectories are being exploited in multiple domains for …

A ship movement classification based on Automatic Identification System (AIS) data using Convolutional Neural Network

X Chen, Y Liu, K Achuthan, X Zhang - Ocean Engineering, 2020 - Elsevier
With a wide use of AIS data in maritime transportation, there is an increasing demand to
develop algorithms to efficiently classify a ship's AIS data into different movements (static …

Ship classification and anomaly detection based on spaceborne ais data considering behavior characteristics

Z Yan, X Song, H Zhong, L Yang, Y Wang - Sensors, 2022 - mdpi.com
With the establishment of satellite constellations equipped with ship automatic identification
system (AIS) receivers, the amount of AIS data is continuously increasing, and AIS data have …

MFGTN: A multi-modal fast gated transformer for identifying single trawl marine fishing vessel

Y Gu, Z Hu, Y Zhao, J Liao, W Zhang - Ocean Engineering, 2024 - Elsevier
In order to achieve sustainable development of marine fishery resources, effective supervise
of trawl fishing during forbidden fishing period is of great significance. This paper addresses …

Path Planning for Unmanned Aerial Vehicles in Complex Environments

C Gómez Arnaldo, M Zamarreño Suárez… - Drones, 2024 - mdpi.com
This paper introduces a comprehensive framework for generating obstacle-free flight paths
for unmanned aerial vehicles (UAVs) in intricate 3D environments. The system leverages the …

Context learning from a ship trajectory cluster for anomaly detection

DS Pedroche, JG Herrero, JMM López - Neurocomputing, 2024 - Elsevier
This paper presents a context information extraction process over Automatic Identification
System (AIS) real-world ship data, building a system with the capability to extract …

Deep learning in unmanned surface vehicles collision-avoidance pattern based on AIS big data with double GRU-RNN

J Shi, Z Liu - Journal of Marine Science and Engineering, 2020 - mdpi.com
There is a collection of a large amount of automatic identification system (AIS) data that
contains ship encounter information, but mining the collision avoidance knowledge from AIS …

Compressing AIS trajectory data based on the multi-objective peak Douglas–Peucker algorithm

Z Zhou, Y Zhang, X Yuan, H Wang - IEEE Access, 2023 - ieeexplore.ieee.org
The automatic identification system (AIS) provides a massive database for ocean science.
The original AIS data are redundant. Direct use will cause a waste of data storage space …

[HTML][HTML] An open-source framework for data-driven trajectory extraction from AIS data—The α-method

N Paulig, O Okhrin - Ocean Engineering, 2024 - Elsevier
Abstract Ship trajectories from Automatic Identification System (AIS) messages are important
in maritime safety, domain awareness, and algorithmic testing. Although the specifications …