Results 11 to 20 of about 785,642 (238)

GL-STGCNN: Enhancing Multi-Ship Trajectory Prediction with MPC Correction

Journal of Marine Science and Engineering
In addressing the challenges of trajectory prediction in multi-ship interaction scenarios and aiming to improve the accuracy of multi-ship trajectory prediction, this paper proposes a multi-ship trajectory prediction model, GL-STGCNN. The GL-STGCNN model
Yuegao Wu, Wanneng Yv, Guangmiao Zeng, Yifan Shang, Weiqiang Liao   +4 more
doaj   +2 more sources

Artificial Intelligence in Ship Trajectory Prediction

Journal of Marine Science and Engineering
Maritime traffic is increasing more and more, creating more complex navigation environments for ships. Ship trajectory prediction based on historical AIS data is a vital method of reducing navigation risks and enhancing the efficiency of maritime traffic
Jinqiang Bi, Hongen Cheng, Wenjia Zhang, Kexin Bao, Peiren Wang   +4 more
doaj   +2 more sources

Ship Trajectory Tracking Control System Design Based on Sliding Mode Control Algorithm [PDF]

Polish Maritime Research, 2018
The paper reports the design and tests of the planar autopilot navigation system in the three-degree-of-freedom (3-DOF) plane (surge, sway and yaw) for a ship.
Liu Yong, Bu Renxiang, Gao Xiaori
doaj   +2 more sources

An Arsenal Ship Design [PDF]

, 1996
Part of the TSSE Team 1996 - An Arsenal Ship Design ...
Baumann, G., Chase, M., Null, G., Rowe, A., Florence, D., Gage, J., Ellis, B., Holmes, C., Langlois, T., Mercer, C., France, M,, Sebastian, J., Scrofani, J., Heatter, T., Brown, J.   +14 more
core   +6 more sources

Automatic collision avoidance of ships [PDF]

, 2008
One of the key elements in automatic simulation of ship manoeuvring in confined waterways is route finding and collision avoidance. This paper presents a new practical method of automatic trajectory planning and collision avoidance based on an artificial
Lee, B.S., Han, D., Xue, Y.
core   +4 more sources

Ship Anomalous Behavior Detection Using Clustering and Deep Recurrent Neural Network

Journal of Marine Science and Engineering, 2023
In this study, we propose a real-time ship anomaly detection method driven by Automatic Identification System (AIS) data. The method uses ship trajectory clustering classes as a normal model and a deep learning algorithm as an anomaly detection tool. The
Bohan Zhang, Katsutoshi Hirayama, Hongxiang Ren, Delong Wang, Haijiang Li   +4 more
doaj   +1 more source

Application of an Encoder–Decoder Model with Attention Mechanism for Trajectory Prediction Based on AIS Data: Case Studies from the Yangtze River of China and the Eastern Coast of the U.S

Journal of Marine Science and Engineering, 2023
With the rapid growth of shipping volumes, ship navigation and path planning have attracted increased attention. To design navigation routes and avoid ship collisions, accurate ship trajectory prediction based on automatic identification system data is ...
Licheng Zhao, Yi Zuo, Tieshan Li, C. L. Philip Chen   +3 more
doaj   +1 more source

A Hybrid-Clustering Model of Ship Trajectories for Maritime Traffic Patterns Analysis in Port Area

Journal of Marine Science and Engineering, 2022
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 trajectory clustering in the port area and analyze the maritime ...
Lei Liu, Yong Zhang, Yue Hu, Yongming Wang, Jingyi Sun, Xiaoxiao Dong   +5 more
doaj   +1 more source

Research on deployment method of early warning detection ship in ballistic missile defense operation [PDF]

Zhihui kongzhi yu fangzhen, 2023
In order to give full play to the maneuverability of sea-based ballistic missile defense force and expand the level of sea-based ballistic missile defense, this paper studies the deployment of early warning and detection ship in ballistic missile defense
XIE Xuehao, ZHAO Xiaodong
doaj   +1 more source

Research on Ship Trajectory Extraction Based on Multi-Attribute DBSCAN Optimisation Algorithm

Polish Maritime Research, 2021
With the vigorous development of maritime traffic, the importance of maritime navigation safety is increasing day by day. Ship trajectory extraction and analysis play an important role in ensuring navigation safety.
Xu Xiaofeng, Cui Deqaing, Li Yun, Xiao Yingjie   +3 more
doaj   +1 more source