Sensor-based motion control of autonomous underwater vehicles, part II : Robust motion control strategies [PDF]
, 2020 The first section of this chapter presents an NMPC strategy for underwater robotic vehicles operating under various constraints. The purpose of the controller is to guide the vehicle towards specific way -points.
Kyriakopoulos, K. J., +4 more
core +1 more source
Review of Development of Diver Underwater Delivery Vehicles Technology Abroad
水下无人系统学报, 2022 The mode of maritime conflict in the world today is developing towards diversification, especially under asymmetric strategic conditions, and underwater special operation for divers is a very effective way to attack.
Hong-wei ZHONG +6 more
doaj +1 more source
A theoretical approach to facilitating transition phase motion in a positively buoyant autonomous underwater vehicle [PDF]
, 2009 Positively buoyant autonomous underwater vehicles (AUVs) operate at survey speeds with a pitch angle that ismaintained through application of the control surfaces, sufficient to generate hydrodynamic forces to counteract theexcess buoyancy. To facilitate
A R Palmer +5 more
core +1 more source
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
doaj +1 more source
Multi-AUV Hunting Algorithm Based on Bio-inspired Neural Network in Unknown Environments
International Journal of Advanced Robotic Systems, 2015 The multi-AUV hunting problem is one of the key issues in multi-robot system research. In order to hunt the target efficiently a new hunting algorithm based on a bio-inspired neural network has been proposed in this paper.
Daqi Zhu +3 more
doaj +1 more source
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
doaj +1 more source
Risk Analysis for Autonomous Underwater Vehicle Operations in Extreme Environments [PDF]
, 2010 Autonomous underwater vehicles (AUVs) are used increasingly to explore hazardous marine environments. Risk assessment for such complex systems is based on subjective judgment and expert knowledge as much as on hard statistics.
Brito, M. +5 more
core +1 more source
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
doaj +1 more source
International Journal of Advanced Robotic Systems, 2014 In this paper a biologically inspired neural dynamics and map planning based approach are simultaneously proposed for AUV (Autonomous Underwater Vehicle) path planning and obstacle avoidance in an unknown dynamic environment.
Daqi Zhu +3 more
doaj +1 more source
Review of low‐loss wireless power transfer methods for autonomous underwater vehicles
IET Power Electronics, 2022 Comprehensive research on the wireless power transfer technology of autonomous underwater vehicles is necessary to address the issue of significant energy loss in such vehicles during wireless power transfer.
Ben Zhang +4 more
doaj +1 more source