|
|
|
Liang Zhao and Yong Bai
Seamless integration of both terrestrial and non-terrestrial networks is crucial to providing full-dimensional wireless and ubiquitous coverage, particularly catering to those engaged in marine activities. Compared to terrestrial networks, wireless commu...
ver más
|
|
|
|
|
|
|
Jia Wang, Tianyi Tao, Daohua Lu, Zhibin Wang and Rongtao Wang
The onboard energy supply of Autonomous Underwater Vehicles (AUVs) is one of the main limiting factors for their development. The existing methods of deploying and retrieving AUVs from mother ships consume a significant amount of energy during submerging...
ver más
|
|
|
|
|
|
|
Hongfei Li, Daqi Zhu, Mingzhi Chen, Tong Wang and Hongxiu Zhu
Task assignment is of paramount importance in multi-AUV systems, particularly in applications such as bridge inspection where task execution is direction-specific. In such scenarios, the underactuation of AUVs is a critical factor that cannot be ignored....
ver más
|
|
|
|
|
|
|
Moon Hwan Kim, Teasuk Yoo, Seok Joon Park and Kyungwon Oh
Autonomous Underwater Vehicles (AUVs) have emerged as pivotal tools for intricate underwater missions, spanning seafloor exploration to meticulous inspection of subsea infrastructures such as pipelines and cables. Although terrestrial obstacle avoidance ...
ver más
|
|
|
|
|
|
|
Xinyu Hu, Yu Shi, Guiqiang Bai and Yanli Chen
When multiple AUVs are combined in formation, they can improve operational efficiency while maintaining mutual communication. This article focuses on the obstacle avoidance problems en-countered by AUV formations during collaborative search and target ca...
ver más
|
|
|
|
|
|
|
Jianya Yuan, Mengxue Han, Hongjian Wang, Bo Zhong, Wei Gao and Dan Yu
Collision avoidance planning has always been a hot and important issue in the field of unmanned aircraft research. In this article, we describe an online collision avoidance planning algorithm for autonomous underwater vehicle (AUV) autonomous navigation...
ver más
|
|
|
|
|
|
|
Bo Wang and Tijing Cai
Gravity-aided inertial navigation system (GAINS) is an important development in autonomous underwater vehicle (AUV) navigation. An effective path planning algorithm plays an important role in the performance of navigation in long-term underwater missions...
ver más
|
|
|
|
|
|
|
Wentao Shi, Yongqi Tang, Mingqi Jin and Lianyou Jing
The Underwater Internet of Things (IoUT) shows significant future potential in enabling a smart ocean. Underwater sensor network (UWSN) is a major form of IoUT, but it faces the problem of reliable data collection. To address these issues, this paper con...
ver más
|
|
|
|
|
|
|
Xinyang Zhao, Shaohua Jin, Gang Bian, Yang Cui, Junsen Wang, Yulin Tang and Chao Jiang
In response to the absence of standardized work practices, work safety measures, efficient work procedures, and suitable line planning methods for exploring seabed topography using autonomous underwater vehicles (AUVs) equipped with side-scan sonar syste...
ver más
|
|
|
|
|
|
|
Bin Li, Jianlin Mao, Shuyi Yin, Lixia Fu and Yan Wang
Autonomous underwater vehicle (AUV) path planning in complex marine environments meets many chanllenges, such as many influencing factors, complex models and the performance of the optimization algorithm to be improved. To find a path with minimum cost o...
ver más
|
|
|
|