|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Juan Li, Chengyue Li, Tao Chen and Yun Zhang
Due to the complexity of the marine environment, underwater target search and interception is one of the biggest problems faced by an autonomous underwater vehicle (AUV). At present, there is quite a lot of research in terms of the two-dimensional enviro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christoph Tholen, Tarek A. El-Mihoub, Lars Nolle and Oliver Zielinski
In this study, a set of different search strategies for locating submarine groundwater discharge (SGD) are investigated. This set includes pre-defined path planning (PPP), adapted random walk (RW), particle swarm optimisation (PSO), inertia Levy-flight (...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zheping Yan, Weidong Liu, Wen Xing and Enrique Herrera-Viedma
How an autonomous underwater vehicle (AUV) performs fully automated task allocation and achieves satisfactory mission planning effects during the search for potential threats deployed in an underwater space is the focus of the paper. First, the task assi...
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
|
|
|
|
|
|
|
|
|
|
|
Jimin Hwang, Neil Bose, Hung Duc Nguyen and Guy Williams
We introduce an adaptive sampling method that has been developed to support the Backseat Driver control architecture of the Memorial University of Newfoundland (MUN) Explorer autonomous underwater vehicle (AUV). The design is based on an acoustic detecti...
ver más
|
|
|
|
|
|