Results 41 to 50 of about 2,033 (182)

Integrated navigation for autonomous underwater vehicles in aquaculture: A review

Information Processing in Agriculture, 2020
Aquaculture is the world’s fastest growing sector within the food industry, supplying humans with over half their aquatic products. Water quality monitoring or cage inspection is an indispensable part in aquaculture and is usually done manually ...
Jianhua Bao, Daoliang Li, Xi Qiao, Thomas Rauschenbach   +3 more
doaj   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Exploring the Potential of Autonomous Underwater Vehicles for Microplastic Detection in Marine Environments: A Systematic Review

Drones
AUVs offer the potential for in situ MP detection at constant, pre-set depths in marine environments. By carrying onboard MP detectors, AUVs can serve as alternatives to traditional methods of sample collection, processing, and analysis, while also ...
Qian Zhong, Neil Bose, Jimin Hwang, Ting Zou   +3 more
doaj   +1 more source

Research on the Influence of Turbulent Flow Induced by Dunes on AUVs

Applied Sciences, 2023
The demand for oceanic resource exploration and development is increasing, and autonomous underwater vehicles (AUVs) have emerged as potential tools for ocean exploration.
Yu Guo, Peng Li, Hongde Qin, Zhongyu Lin, Jiaqi Guo   +4 more
doaj   +1 more source

Scalable low‐cost seabed landers: the missing link for sustained, integrated, long‐term observations in dynamic shallow seas

Remote Sensing in Ecology and Conservation, EarlyView.
Seabed landers, when equipped with a range of biotic and abiotic sensors, offer a non‐invasive and cost‐effective solution for ecosystem‐scale monitoring of Essential Biodiversity Variables (EBVs) and Essential Ocean Variables (EOVs) in dynamic shallow seas.
Arienne Calonge, Roeland Develter, Carlota Muñiz, Clea Parcerisas, Jan Reubens, Wieter Boone, Klaas Deneudt, Elisabeth Debusschere   +7 more
wiley   +1 more source

Hierarchical Adaptive Fixed-Time Formation Control for Multiple Underactuated Autonomous Underwater Vehicles Under Uncertain Disturbances and Input Saturation

Journal of Marine Science and Engineering
Recent advances in multiple autonomous underwater vehicles (AUVs) have highlighted formation control as a critical challenge for underwater collaborative operations.
Jiacheng Chang, Lanyong Zhang, Yifan Tan, Xue Fu, Hongjun Yu   +4 more
doaj   +1 more source

Modified constrained adaptive formation control scheme for autonomous underwater vehicles under communication delays

IET Cyber-systems and Robotics, 2019
The performance of a formation control algorithm for a group of autonomous underwater vehicles (AUVs) may be degraded due to communication constraints between the leader and the follower AUVs.
Chhavi Suryendu, Bidyadhar Subudhi
doaj   +1 more source

DeepZoo: A cost‐effective and modular sampler for ecological studies in the deep ocean

Methods in Ecology and Evolution, EarlyView.
Abstract Understanding the structure and dynamics of deep‐ocean communities requires effective sampling of pelagic organisms in near‐bottom waters. These dispersive organisms contribute to biodiversity, connectivity and ecosystem recovery. Yet, current sampling methods remain constrained by size, cost, and depth, leaving key questions unanswered in ...
Johanna N. J. Weston, Casey Machado, Brian Kelly, Benjamin S. Weiss, Taylor P. Heyl, Daniel Lauretta, Lauren S. Mullineaux, Kirstin S. Meyer‐Kaiser   +7 more
wiley   +1 more source

Reinforcement learning approaches in the motion systems of autonomous underwater vehicles

Applied Ocean Research
Autonomous underwater vehicles (AUVs) have been receiving increasing attention due to the significant role in the exploration of ocean resources. The complex underwater disturbances and highly coupled models pose significant challenges to the design of ...
Ting Yu, Qi Zhang, Tiejun Liu
doaj   +1 more source

A Novel Single-Beacon Navigation Method for Group AUVs Based on SIMO Model

IEEE Access, 2018
Single-beacon navigation for group autonomous underwater vehicles (AUVs) suffers from long navigation period and asynchronization. This paper addresses the problem by introducing the single-input-multiple-output (SIMO) model, where, a single AUV ...
Sibo Sun, Shuangning Yu, Zhibo Shi, Jin Fu, Chunhui Zhao   +4 more
doaj   +1 more source