Results 61 to 70 of about 959 (183)

Cooperative Localization in Harsh Underwater Environment Based on the MC-ANFIS

IEEE Access, 2019
In this paper, a new cooperative localization (CL) method for multiple autonomous underwater vehicles (AUVs) is proposed to address the problem of measurement outliers and communication packet loss caused by the harsh underwater environment.
Bo Xu, Shengxin Li, Asghar A. Razzaqi, Jiao Zhang   +3 more
doaj   +1 more source

Reviewing seas of data: Integrating image‐based bio‐logging and artificial intelligence to enhance marine conservation

Methods in Ecology and Evolution, Volume 17, Issue 2, Page 272-290, February 2026.
Abstract Conservation of marine ecosystems can be improved through a better understanding of ecosystem functioning, particularly the cryptic underwater behaviours and interactions of marine predators. Image‐based bio‐logging devices (including images, videos and active acoustic) are increasingly used to monitor wildlife movements, foraging behaviours ...
Marianna Chimienti, Akiko Kato, Vahid Seydi, Stefan Schoombie, Jefferson T. Hinke, Ruth Joy, Damian C. Lidgard, W. Chris Oosthuizen, Yannis P. Papastamatiou, Yan Ropert‐Coudert, Akinori Takahashi, Jean‐Baptiste Thiebot, Muriel Visani, Mickael Coustaty, Tiphaine Jeanniard‐du‐Dot   +14 more
wiley   +1 more source

Survival, rarity, and extinction in tropical stony corals

Conservation Biology, Volume 40, Issue 1, February 2026.
Abstract Many reef‐building tropical corals are becoming rare. We considered the meaning of rarity in corals and highlighted taxa that have reached low abundances in the last few decades. The difficulties of quantifying rarity in the marine environment arise from the sheer scale and 3‐dimensional nature of the biome and the inherent challenges therein ...
Bryan Wilson, Peter J. Edmunds
wiley   +1 more source

Three-Dimensional Coverage Path Planning for Cooperative Autonomous Underwater Vehicles: A Swarm Migration Genetic Algorithm Approach

Journal of Marine Science and Engineering
Cooperative marine exploration tasks involving multiple autonomous underwater vehicles (AUVs) present a complex 3D coverage path planning challenge that has not been fully addressed.
Yangmin Xie, Wenbo Hui, Dacheng Zhou, Hang Shi   +3 more
doaj   +1 more source

A Method for Multi-AUV Cooperative Area Search in Unknown Environment Based on Reinforcement Learning

Journal of Marine Science and Engineering
As an emerging direction of multi-agent collaborative control technology, multiple autonomous underwater vehicle (multi-AUV) cooperative area search technology has played an important role in civilian fields such as marine resource exploration and ...
Yueming Li, Mingquan Ma, Jian Cao, Guobin Luo, Depeng Wang, Weiqiang Chen   +5 more
doaj   +1 more source

A convolutional neural network machine learning based navigation of underwater vehicles under limited communication [PDF]

Archives of Control Sciences
This paper proposes navigation of multiple autonomous underwater vehicles (AUVs) by employing machine learning approach for wide area surveys in underwater environment.
Sarada Prasanna Sahoo, Bibhuti Bhusan Pati, Bikramaditya Das   +2 more
doaj   +1 more source

Simultaneous acoustic navigation of multiple AUVs

, 2006
Although the simultaneous use of multiple AUVs in some mission scenarios is advantageous when compared with single AUV operations, it poses some challenging questions regarding the coordinated control and navigation of multiple vehicle operations. This paper addresses the simultaneous navigation of multiple vehicles using the same acoustic network.
Aníbal Matos, Nuno Cruz
openaire   +1 more source

Event-Triggered Two-Part Separation Control of Multiple Autonomous Underwater Vehicles Based on Extended Observer

World Electric Vehicle Journal
In this paper, we investigate the formation isolation regulation issue regarding multiple Autonomous Underwater Vehicles (AUVs) characterized by a “leader–follower” framework.
Yunyang Gu, Yueru Xu, Mingzuo Jiang, Zhigang Zhou   +3 more
doaj   +1 more source

Reinforcement Learning-Based Multi-AUV Adaptive Trajectory Planning for Under-Ice Field Estimation

Sensors, 2018
This work studies online learning-based trajectory planning for multiple autonomous underwater vehicles (AUVs) to estimate a water parameter field of interest in the under-ice environment.
Chaofeng Wang, Li Wei, Zhaohui  Wang, Min Song, Nina Mahmoudian   +4 more
doaj   +1 more source

Data-Gathering Scheme Using AUVs in Large-Scale Underwater Sensor Networks: A Multihop Approach

Sensors, 2016
In this paper, we propose a data-gathering scheme for hierarchical underwater sensor networks, where multiple Autonomous Underwater Vehicles (AUVs) are deployed over large-scale coverage areas.
Jawaad Ullah Khan, Ho-Shin Cho
doaj   +1 more source