Results 11 to 20 of about 35,558 (273)
Autonomous underwater vehicles: Instrumentation and measurements [PDF]
IEEE Instrumentation & Measurement Magazine, 2020 Oceans exploration and inspection are a great challenge for the industry nowadays. The underwater instrumentation and measurements are improving due to the current technologies, or by development of new ones, to cover the demand of the new industry offshore.
Sanchez, Pedro Jose Bernalte +2 more
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Virtual Underwater Datasets for Autonomous Inspections
Journal of Marine Science and Engineering, 2022 Underwater Vehicles have become more sophisticated, driven by the off-shore sector and the scientific community’s rapid advancements in underwater operations.
Ioannis Polymenis +3 more
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Intelligent CFAR Detector Based on Support Vector Machine
IEEE Access, 2017 In this paper, we propose an intelligent constant false alarm rate detector, which uses support vector machine (SVM) techniques to improve the radar detection performance in different background environments.
Leiou Wang, Donghui Wang, Chengpeng Hao
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Autonomous Underwater Vehicle „ABYSS“ [PDF]
Journal of large-scale research facilities JLSRF, 2016 The Autonomous Underwater Vehicle (AUV) „ABYSS“ is a modular AUV designed to survey the ocean combining geophysical studies of the seafloor with oceanographic investigations of the overlying water column. The basic mission of ABYSS is deep-sea exploration, specifically in volcanically and tectonically active parts, such as mid-ocean ridges.
Peter Linke, Klas Lackschewitz
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Autonomous underwater vehicle fault diagnosis dataset
Data in Brief, 2021 The dataset contains 1225 data samples for 5 fault types (labels). We divided the dataset into the training set and the test set through random stratified sampling. The test set accounted for 20 % of the total dataset. Our experimental subject is 'Haizhe', which is a small quadrotor AUV developed in the laboratory.
Daxiong Ji +4 more
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Deep Differential Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 The deep convolutional neural networks and residual networks have shown great success and high-quality reconstruction for single image super-resolution.
Peng Liu, Ying Hong, Yan Liu
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The predictive functional control and the management of constraints in GUANAY II autonomous underwater vehicle actuators [PDF]
, 2018 Autonomous underwater vehicle control has been a topic of research in the last decades. The challenges addressed vary depending on each research group's interests.
Gauthier Sellier, Alain +2 more
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A Novel Multi-Scale Adaptive Convolutional Network for Single Image Super-Resolution
IEEE Access, 2019 Recently, the methods based on deep convolutional neural networks have shown superior performance on image restoration. By using a faster and deeper network, the existing methods have achieved the breakthroughs in speed and accuracy. But, they still work
Peng Liu, Ying Hong, Yan Liu
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Multi-Branch Deep Residual Network for Single Image Super-Resolution
Algorithms, 2018 Recently, algorithms based on the deep neural networks and residual networks have been applied for super-resolution and exhibited excellent performance.
Peng Liu, Ying Hong, Yan Liu
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Mathematical Model of Information Exchange in the Autonomous Underwater Vehicle Network
Engineering Proceedings, 2023 Nowadays, a lot of attention is given to autonomous underwater exploration. To reduce the time of such explorations groups of networked underwater vehicles are used.
Elizaveta G. Litunenko +3 more
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