Results 21 to 30 of about 9,838 (286)
Magnetic Gradient Tensor Positioning Method Implemented on an Autonomous Underwater Vehicle Platform
Underwater magnetic surveying serves as the fundamental prerequisite for detecting sensitive underwater targets and magnetically susceptible submerged objects.
Fanzong Zeng +5 more
doaj +1 more source
Inspection and maintenance of industrial infrastructure with autonomous underwater robots
Underwater infrastructure, such as pipelines, requires regular inspection and maintenance including cleaning, welding of defects and valve-turning or hot-stabbing.
Franka Nauert +2 more
doaj +1 more source
Autonomous underwater vehicles require a motion control system for performing underwater tasks such as exploring and developing marine resources. This study proposes a fractional‐order proportional‐integral (PIλ) controller for autonomous underwater ...
L. Liu, L. Zhang, S. Zhang
doaj +1 more source
A potential-flow based flight simulator for an underwater glider [PDF]
Underwater gliders are recent innovative types of autonomous underwater vehicles (AUVs) used in ocean exploration and observation. They adjust their buoyancy to dive and to return to the ocean surface.
LAURENS, Jean-Marc +4 more
core +1 more source
Virtual Underwater Datasets for Autonomous Inspections
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
doaj +1 more source
Intelligent CFAR Detector Based on Support Vector Machine
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
doaj +1 more source
A Novel Multi-Scale Adaptive Convolutional Network for Single Image Super-Resolution
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
doaj +1 more source
Deep Differential Convolutional Network for Single Image Super-Resolution
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
doaj +1 more source
Modelling tunnel thrusters for autonomous underwater vehicles [PDF]
With 900 Autonomous Underwater Vehicles (AUVs) required over the next decade (Newman et al., 2007) existing survey-style AUVs need improved utilization factors.
Stevenson, P. +5 more
core +1 more source

