Antoni Burguera, Francisco Bonin-Font
Autonomous or semi-autonomous robots are nowadays used in a wide variety of scenarios, including marine and underwater environments [...]
Xin Pan, Guoli Feng, Haiyan Zeng, Qunhong Tian
Autonomous Underwater Vehicles (AUVs) are increasingly used in deep-sea exploration, environmental monitoring, and marine engineering. Their operational safety and mission performance rely heavily on accurate and long-endurance underwater localization. However, both single-sensor…
Jianya Yuan, Hongjian Wang, Bo Zhong, Chengfeng Li, Yutong Huang, Shaozheng Song
Unmanned underwater vehicles (UUVs) face significant challenges in achieving safe and efficient autonomous navigation in complex marine environments due to uncertain perception, dynamic obstacles, and nonlinear coupled motion control. This study proposes a hierarchical autonomous…
Bin Mei, Chenyu Li, Dongdong Liu, Jie Zhang
As the nonlinear and coupling characteristics of autonomous underwater vehicles (AUVs) are the challenges for motion modeling, the nonparametric identification method is proposed based on dung beetle optimization (DBO) and deep temporal convolutional networks (DTCNs). First, the…
Anja Batina, Ljiljana Šerić, Andrija Krtalić, Ante Šiljeg
Satellite remote sensing increasingly supports water quality monitoring, yet the temporal transferability of machine learning (ML) models remains insufficiently tested, particularly in coastal shallow lakes subject to hydrological variability. This study evaluates the predictive…
Yuanyuan Zhang, Guangyu Li, Jianfeng Zhu, Xiao Cheng
The presence of sea ice threatens low ice-class vessels’ navigation safety in the Arctic, and traditional Navigation Risk Assessment Models based on sea ice parameters have been widely used to guide safe passages for ships operating in ice regions. However, these models mainly re…
Junyi Yang, Mudan Cai, Xingfan Yang, Zhiyu Zhou
In order to deal with the target recognition in the complex underwater environment, we carried out experimental research. This includes filtering noise in the feature extraction stage of underwater images rich in noise, or with complex backgrounds, and improving the accuracy of t…