17   Artículos

 
en línea
Mingze Li, Bing Li, Zhigang Qi, Jiashuai Li and Jiawei Wu    
Predicting ship trajectories plays a vital role in ensuring navigational safety, preventing collision incidents, and enhancing vessel management efficiency. The integration of advanced machine learning technology for precise trajectory prediction is emer... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Ye Xiao, Yupeng Hu, Jizhao Liu, Yi Xiao and Qianzhen Liu    
Ship trajectory prediction is essential for ensuring safe route planning and to have advanced warning of the dangers at sea. With the development of deep learning, most of the current research has explored advanced prediction methods based on historical ... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Daping Xi, Yuhao Feng, Wenping Jiang, Nai Yang, Xini Hu and Chuyuan Wang    
The extraction of ship behavior patterns from Automatic Identification System (AIS) data and the subsequent prediction of travel routes play crucial roles in mitigating the risk of ship accidents. This study focuses on the Wuhan section of the dendritic ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Wenbo Zhao, Dezhi Wang, Kai Gao, Jiani Wu and Xinghua Cheng    
Approximating the positions of vessels near underwater devices, such as unmanned underwater vehicles and autonomous underwater vehicles, is crucial for many underwater operations. However, long-term monitoring of vessel trajectories is challenging due to... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Xinyu Wang and Yingjie Xiao    
The rapid growth of ship traffic leads to traffic congestion, which causes maritime accidents. Accurate ship trajectory prediction can improve the efficiency of navigation and maritime traffic safety. Previous studies have focused on developing a ship tr... ver más
Revista: Information    Formato: Electrónico

 
en línea
Diju Gao, Weixi Xie, Chunteng Bao, Bin Liu and Jiaxing Zhuang    
In order to realize accurate and fast firefighting at sea, a control method for water cannons of unmanned fireboats considering wind and ship motion disturbances is presented. This method combines information fusion, computer vision, and prediction techn... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Xinqiang Chen, Chenxin Wei, Guiliang Zhou, Huafeng Wu, Zhongyu Wang and Salvatore Antonio Biancardo    
Automatic Identification System (AIS) data-supported ship trajectory analysis consistently helps maritime regulations and practitioners make reasonable traffic controlling and management decisions. Significant attentions are paid to obtain an accurate sh... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Kexin Bao, Jinqiang Bi, Miao Gao, Yue Sun, Xuefeng Zhang and Wenjia Zhang    
According to the statistics of water transportation accidents, collision accidents are on the rise as the shipping industry has expanded by leaps and bounds, and the water transportation environment has become more complex, which can result in grave cons... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

 
en línea
Long Qian, Yuanzhou Zheng, Lei Li, Yong Ma, Chunhui Zhou and Dongfang Zhang    
Ship position prediction plays a key role in the early warning and safety of inland waters and maritime navigation. Ship pilots must have in-depth knowledge of the future position of their ship and target ship in a specific time period when maneuvering t... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Shibo Zhou, Zhizheng Wu and Lüzhen Ren    
In the existing research on the intelligent navigation of ships, navigation route planning often regards light buoys as fixed obstructions. However, due to factors such as water ripples, the position of the buoys keeps periodically changing. If the buoys... ver más
Revista: Journal of Marine Science and Engineering    Formato: Electrónico

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