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Reinforcement Learning-Based Automatic Berthing System
, 2021 Previous studies on automatic berthing systems based on artificial neural network (ANN) showed great berthing performance by training the ANN with ship berthing data as training data. However, because the ANN requires a large amount of training data to yield robust performance, the ANN-based automatic berthing system is somewhat limited due to the ...
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A study on ship automatic berthing with assistance of auxiliary devices
International Journal of Naval Architecture and Ocean Engineering, 2012 The recent researches on the automatic berthing control problems have used various kinds of tools as a control method such as expert system, fuzzy logic controllers and artificial neural network (ANN).
Van Luong Tran, Namkyun Im
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Machines, 2022 Surface-vehicle berthing is a complex and challenging task. It involves complicated ship dynamics owing to a large drift angle and the time-varying environmental disturbances induced by wind, wave, and current.
Seungdae Baek, Joohyun Woo
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Artificial neural network controller for automatic ship berthing using head-up coordinate system
International Journal of Naval Architecture and Ocean Engineering, 2018 The Artificial Neural Network (ANN) model has been known as one of the most effective theories for automatic ship berthing, as it has learning ability and mimics the actions of the human brain when performing the stages of ship berthing.
Nam-Kyun Im, Van-Suong Nguyen
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Adaptive Auto-Berthing Control of Underactuated Vessel Based on Barrier Lyapunov Function
Journal of Marine Science and Engineering, 2022 This paper investigates the automatic berthing problem of underactuated surface vessels in the case of uncertain dynamics and yaw rate limitation, given the importance of yaw rate control and the unmeasurable hydrodynamic parameters of the vessel at low ...
Yang Liu +3 more
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Real-time Detection Technique of the Target in a Berth for Automatic Ship Berthing [PDF]
Journal of Control, Automation and Systems Engineering, 2006 In this paper vector code correlation(VCC) method and an algorithm to promote the image-processing performance in building an effective measurement system using cameras are described far automatically berthing and controlling the ship equipped with side-thrusters.
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An Application of ANN to Automatic Ship Berthing Using Selective Controller [PDF]
TransNav, 2007 This paper deals with ANN(Artificial Neural Networks) and its application to automatic ship berthing. As ship motions are expressed by a multi-term non-linear model, it is very difficult to find optimal methods for automatic ship berthing.
Namkyun Im +2 more
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Investigation on a Novel Support System for Automatic Ship Berthing in Marine Practice
Journal of Marine Science and Engineering, 2019 For safe ship berthing, all steps involved, from bringing the ship to the fairway area to directing it to the final wharf position at a desirable speed, need to be performed properly.
Van Suong Nguyen
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Intelligent Drilling and Completion: A Review
Engineering, 2022 The application of artificial intelligence (AI) has become inevitable in the petroleum industry. In drilling and completion engineering, AI is regarded as a transformative technology that can lower costs and significantly improve drilling efficiency (DE).
Gensheng Li +3 more
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Journal of Marine Science and Engineering, 2019 With the continuous improvement of unmanned ship automation requirements, research into the automatic berthing of underactuated unmanned ships has important theoretical significance and practical value.
Zaiji Piao, Chen Guo, Shuang Sun
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