Results 241 to 250 of about 65,160 (270)

Unmanned Surface Vehicle Market Overview

The Unmanned Surface Vehicle (USV) Market is experiencing steady growth driven by advancements in AI, navigation systems, and rising maritime security needs. Expanding commercial applications and emerging hybrid propulsion technologies further enhance the market's long-term potential.
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Tracking Control of an Unmanned Surface Vehicle

2014
Nowaday, unmanned surface vehicle (USV) has been a special attention for marine research and surveying exploration in costal area. This paper describes an analysis about architecture and control system of a USV disposed with three fixed thrusters. Therefore, hardware and software architectures of control system will be mentioned and functions of all ...
Ngoc-Huy Tran, Hyeung-Sik Choi, Se-Hoon Baek, Hee-Young Shin   +3 more
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Unmanned Surface Vehicles: Revolutionizing Maritime Security

Maritime security is a cornerstone of global stability, safeguarding the vast and interconnected ocean that facilitate international trade, economic prosperity, and geopolitical cooperation. Covering more than 70% of the Earth’s surface, the world’s ocean serves as the backbone of global commerce, with approximately 90% of trade transported by sea ...
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Visual Navigation and Landing Control of an Unmanned Aerial Vehicle on a Moving Autonomous Surface Vehicle via Adaptive Learning

IEEE Transactions on Neural Networks and Learning Systems, 2021
Hai-Tao Zhang, Bin-Bin Hu, Bin Liu
exaly  

Unmanned Surface Vehicle (USV)

2022
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Reinforcement Learning-Based Optimal Tracking Control of an Unknown Unmanned Surface Vehicle

IEEE Transactions on Neural Networks and Learning Systems, 2021
Ning Wang, Choon K Ahn
exaly  

NETWORK OF UNMANNED SURFACE VEHICLES

2021
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Survey on Unmanned Aerial Vehicle Networks: A Cyber Physical System Perspective

IEEE Communications Surveys and Tutorials, 2020
Haijun Wang, Haitao Zhao, Jiao Zhang
exaly  

Data-Driven Performance-Prescribed Reinforcement Learning Control of an Unmanned Surface Vehicle

IEEE Transactions on Neural Networks and Learning Systems, 2021
Ning Wang
exaly  

Collision avoidance for an unmanned surface vehicle using deep reinforcement learning

Ocean Engineering, 2020
Joohyun Woo, Nakwan Kim
exaly