Ship imaging trajectory extraction via an aggregated you only look once (YOLO) model

X Chen, M Wang, J Ling, H Wu, B Wu, C Li - Engineering Applications of …, 2024 - Elsevier
Maritime traffic community has paid a huge amount of focuses to establish maritime
intelligent transportation infrastructure for the purpose of enhancing maritime traffic safety …

Maritime traffic route detection framework based on statistical density analysis from AIS data using a clustering algorithm

JS Lee, HT Lee, IS Cho - IEEE Access, 2022 - ieeexplore.ieee.org
Maritime traffic routes by ships navigation vary according to country and geographic
characteristics, and they differ according to the characteristics of the ships. In ocean areas …

[HTML][HTML] A data mining method for automatic identification and analysis of icebreaker assistance operation in ice-covered waters

C Liu, M Musharraf, F Li, P Kujala - Ocean Engineering, 2022 - Elsevier
Icebreaker assistance is a common but complex operation in ice-infested regions. Currently,
the operational decision-making and the decisions regarding the safety indicators are …

An adaptive threshold fast DBSCAN algorithm with preserved trajectory feature points for vessel trajectory clustering

X Bai, Z Xie, X Xu, Y Xiao - Ocean Engineering, 2023 - Elsevier
Vessel navigation pattern recognition plays an important role in the research of intelligent
transportation on water. Clustering using the data stored in The Automatic Identification …

A novel ship trajectory clustering method for Finding Overall and Local Features of Ship Trajectories

C Tang, M Chen, J Zhao, T Liu, K Liu, H Yan, Y Xiao - Ocean engineering, 2021 - Elsevier
Ship trajectory clustering is one of the main methods of ship trajectory mining based on AIS
data. However, there exist two main problems in trajectory clustering: One is the inherent …

Dynamic maritime traffic pattern recognition with online cleaning, compression, partition, and clustering of AIS data

Y Zhang, W Li - Sensors, 2022 - mdpi.com
Maritime traffic pattern recognition plays a major role in intelligent transportation services,
ship monitoring, route planning, and other fields. Facilitated by the establishment of …

Trajectory clustering for SVR-based Time of Arrival estimation

X Xu, C Liu, J Li, Y Miao - Ocean Engineering, 2022 - Elsevier
Abstract Accurate vessel Time of Arrival (ToA) estimation is important for port operation and
resource management. In this paper, we propose a data-driven approach for estimating the …

[HTML][HTML] Extracting the maritime traffic route in Korea based on probabilistic approach using automatic identification system big data

JS Lee, IS Cho - Applied Sciences, 2022 - mdpi.com
To protect the environment around the world, we are actively developing ecofriendly energy.
Offshore wind farm generation installed in the sea is extremely large among various …

A semi-supervised methodology for fishing activity detection using the geometry behind the trajectory of multiple vessels

MD Ferreira, G Spadon, A Soares, S Matwin - Sensors, 2022 - mdpi.com
Automatic Identification System (AIS) messages are useful for tracking vessel activity across
oceans worldwide using radio links and satellite transceivers. Such data play a significant …

A hybrid-clustering model of ship trajectories for maritime traffic patterns analysis in port area

L Liu, Y Zhang, Y Hu, Y Wang, J Sun… - Journal of Marine Science …, 2022 - mdpi.com
A hybrid-clustering model is presented for the probabilistic characterization of ship traffic and
anomaly detection. A hybrid clustering model was proposed to increase the efficiency of …