Results 51 to 60 of about 49,255 (251)

Design of obstacle detection and avoidance system for GUANAY II AUV [PDF]

open access: yes, 2016
Postprint (published ...
Galarza Bogotá, Cesar Mauricio   +3 more
core   +1 more source

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

open access: yesRemote 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   +6 more
wiley   +1 more source

Docking experiment of underwater vehicle by dual-eye visual servoing (Control performance verification with autonomous underwater vehicle)

open access: yesNihon Kikai Gakkai ronbunshu, 2018
A variety of robots has been studied and developed for undersea exploration. One of the applications for undersea exploration is mining of undersea resources such as methane hydrate and rare metal by Autonomous Underwater Vehicle (AUV).
Takayuki MATSUNO   +9 more
doaj   +1 more source

Multiple Autonomous Underwater Vehicle Formation Obstacle Avoidance Control Using Event-Triggered Model Predictive Control

open access: yesJournal of Marine Science and Engineering, 2023
In this paper, multiple autonomous underwater vehicle (multi-AUV) formation control with obstacle avoidance ability in 3D complex underwater environments based on an event-triggered model predictive control (EMPC) is proposed.
Linling Wang   +3 more
doaj   +1 more source

On the matching method and the Goldstone theorem in holography [PDF]

open access: yes, 2013
We study the transition of a scalar field in a fixed $AdS_{d+1}$ background between an extremum and a minimum of a potential. We compute analytically the solution to the perturbation equation for the vev deformation case by generalizing the usual ...
Bajc, Borut, Lugo, Adrian R.
core   +4 more sources

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

open access: yesRemote 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   +10 more
wiley   +1 more source

Designing an Autonomous Underwater Vehicle hull shape with direct approach

open access: yesنشریه مهندسی دریا, 2018
Hydrodynamic design of the exterior hull shape is a main step of body shape design. The effective parameters in this process include the length of the nose and tail, the blunt sections of nose and tail as well as the profiles of the nose and the tail. In
Majid Alijani   +2 more
doaj  

Redução de Ruídos Speckle no Mapeamento de Estruturas Lineares Submarinas em Imagens de Sonar de Abertura Sintética

open access: yesRevista Brasileira de Cartografia, 2019
A utilização do sonar de abertura sintética no levantamento hidrográfico com veículo autônomo subaquático tem possibilitado o mapeamento de pequenos objetos em grandes profundidades.
Victor Hugo Fernandes   +4 more
doaj   +1 more source

Color Filtering Localization for Three-Dimensional Underwater Acoustic Sensor Networks

open access: yes, 2014
Accurate localization for mobile nodes has been an important and fundamental problem in underwater acoustic sensor networks (UASNs). The detection information returned from a mobile node is meaningful only if its location is known.
Chang, Shuai   +4 more
core   +2 more sources

Progressive Colour Equalisation and Detail Refinement for Underwater Image Enhancement

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Underwater image enhancement remains a critical challenge in computational vision due to complex distortions caused by wavelength‐dependent light absorption and scattering. This paper introduces CEDFNet, a novel two‐stage framework that leverages advanced computational intelligence techniques for robust and high‐fidelity underwater image ...
Songbai Liu, Jiacheng Huang
wiley   +1 more source

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