Results 51 to 60 of about 9,120 (215)

Virtual Elastic Tether: A New Approach for Multi‐Agent Navigation in Confined Aquatic Environments

Journal of Field Robotics, EarlyView.
ABSTRACT Underwater navigation is a challenging area in the field of mobile robotics due to inherent constraints in self‐localization and communication in underwater environments. Some of these challenges can be mitigated by using collaborative multi‐agent teams.
Kanzhong Yao, Xueliang Cheng, Keir Groves, Barry Lennox, Ognjen Marjanovic, Simon Watson   +5 more
wiley   +1 more source

An Obstacle Avoidance Strategy for AUV Based on State-Tracking Collision Detection and Improved Artificial Potential Field

Journal of Marine Science and Engineering
This paper proposes a fusion algorithm based on state-tracking collision detection and the simulated annealing potential field (SCD-SAPF) to address the challenges of obstacle avoidance for autonomous underwater vehicles (AUVs) in dynamic environments ...
Yueming Li, Yuhao Ma, Jian Cao, Changyi Yin, Xiangyi Ma   +4 more
doaj   +1 more source

Clustering Cloud-Like Model-Based Targets Underwater Tracking for AUVs

Sensors, 2019
Autonomous underwater vehicles (AUVs) rely on a mechanically scanned imaging sonar that is fixedly mounted on AUVs for underwater target barrier-avoiding and tracking. When underwater targets cross or approach each other, AUVs sometimes fail to track, or
Mingwei Sheng, Songqi Tang, Hongde Qin, Lei Wan   +3 more
doaj   +1 more source

A Comparison of the Pac-X Trans-Pacific Wave Glider Data and Satellite Data (MODIS, Aquarius, TRMM and VIIRS) [PDF]

, 2014
Tracy A. Villareal, Marine Science Institute and Department of Marine Science, The University of Texas at Austin, Port Aransas, Texas, United States of AmericaCara Wilson, Environmental Research Division, Southwest Fisheries Science Center, National ...
Villareal, Tracy A., Wilson, Cara
core   +3 more sources

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Improved Artificial Potential Field Algorithm Assisted by Multisource Data for AUV Path Planning

Sensors, 2023
With the development of ocean exploration technology, the exploration of the ocean has become a hot research field involving the use of autonomous underwater vehicles (AUVs).
Tianyu Xing, Xiaohao Wang, Kaiyang Ding, Kai Ni, Qian Zhou   +4 more
doaj   +1 more source

First AUV and ROV investigation of seismogenic faults in the Alboran Sea (Western Meditarranean) [PDF]

, 2016
In May-June 2015 we carried out the SHAKE cruise on board the RV “Sarmiento de Gamboa” the first in situ investigation using state-of-the-art underwater vehicles, the AUVs “AsterX” and “IdefX” (IFREMER, France) and the ROV “Max Rover” (HCMR, Greece ...
Bartolomé de la Peña, Rafael, Costa, Sergio, Dañobeitia, Juan José, Díez, Susana, Gràcia, Eulàlia, Lo Iacono, Claudio, Perea, Hector, Placaud, Xavier, Rodríguez, Pablo, Smith, Chris, Sánchez, Héctor   +10 more
core  

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

Remote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons, Dang Nguyen, Benjamin Misiuk, Daniel Ierodiaconou, Sunil Gupta, Oli Dalby, Mary Young   +6 more
wiley   +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

Review of EMC standards for underwater vehicles

Results in Engineering
Electromagnetic Compatibility (EMC) is a critical consideration in the design and manufacturing of any kind of automobile, including underwater vehicles like Remotely Operated Vehicles (ROV) and Autonomous Underwater Vehicles (AUV), to ensure their ...
Rohit Kumar Singh, R.G Sangeetha
doaj   +1 more source