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Joohyun Woo
Observed names:
Joo-Hyun Woo,
Joo-hyun Woo,
Woo Joohyun
Institution:
Korea Maritime and Ocean University
Observed institutions:
Seoul National University,
Hyundai Heavy Industries (South Korea),
Korea Maritime and Ocean University,
Institute of Engineering Research
ORCID:
0000-0002-9495-3245
Observed ORCID:
0000-0002-9495-3245
OpenAlex ID:
A5026330018
Collision avoidance for an unmanned surface vehicle using deep reinforcement learning
2020
·
Joohyun Woo
, Nakwan Kim
·
Ocean Engineering
·
273
Deep reinforcement learning-based controller for path following of an unmanned surface vehicle
2019
·
Joohyun Woo
, Chanwoo Yu
, et al.
·
Ocean Engineering
·
252
Dynamic model identification of unmanned surface vehicles using deep learning network
2018
·
Joohyun Woo
, Jongyoung Park
, et al.
·
Applied Ocean Research
·
147
A deep reinforcement learning ensemble for maintenance scheduling in offshore wind farms
2024
·
Namkyoung Lee
, Joohyun Woo
, et al.
·
Applied Energy
·
51
An experimental study on vertical motion control of a high-speed planing vessel using a controllable interceptor in waves
2019
·
Jong-Yong Park
, Hujae Choi
, et al.
·
Ocean Engineering
·
44
A Review of Autonomous Tugboat Operations for Efficient and Safe Ship Berthing
2023
·
Jun-Hyuk Choi
, Ju-Yeong Jang
, et al.
·
Journal of Marine Science and Engineering
·
30
PDF
Model Reference Adaptive Control-Based Autonomous Berthing of an Unmanned Surface Vehicle under Environmental Disturbance
2022
·
Seungdae Baek
, Joohyun Woo
·
Machines
·
20
PDF
Vision-based target motion analysis and collision avoidance of unmanned surface vehicles
2015
·
Joohyun Woo
, Nakwan Kim
·
Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment
·
19
Obstacle avoidance and target search of an Autonomous Surface Vehicle for 2016 Maritime RobotX challenge
2017
·
Joohyun Woo
, Jooho Lee
, et al.
·
IEEE Underwater Technology (UT)
·
18
Vision based obstacle detection and collision risk estimation of an unmanned surface vehicle
2016
·
Joohyun Woo
, Nakwan Kim
·
International Conference on Ubiquitous Robots and Ambient Intelligence
·
16
Development of HHI’s Advanced Navigation Assistance System for Safe Voyage
2019
·
Maro Jeon
, Jinmo Park
, et al.
·
IFAC-PapersOnLine
·
12
Vision and 2D LiDAR based autonomous surface vehicle docking for identify symbols and dock task in 2016 Maritime RobotX Challenge
2017
·
Jooho Lee
, Joohyun Woo
, et al.
·
IEEE Underwater Technology (UT)
·
12
Vector Field based Guidance Method for Docking of an Unmanned Surface Vehicle
2016
·
Joohyun Woo
, Nakwan Kim
·
12
Design of Guidance Law for Docking of Unmanned Surface Vehicle
2016
·
Joohyun Woo
, Nakwan Kim
·
Journal of Ocean Engineering and Technology
·
10
PDF
Reactive Collision Avoidance of an Unmanned Surface Vehicle through Gaussian Mixture Model-Based Online Mapping
2022
·
Dongwoo Lee
, Joohyun Woo
·
Journal of Marine Science and Engineering
·
7
PDF
Localization of an underwater acoustic source for acoustic pinger-based transit task in 2016 Maritime RobotX Challenge
2017
·
Hwiyong Choi
, Joohyun Woo
, et al.
·
IEEE Underwater Technology (UT)
·
7
Fault Detection of Propeller of an Overactuated Unmanned Surface Vehicle based on Convolutional Neural Network
2022
·
Seung-dae Baek
, Joo-hyun Woo
·
Journal of the Society of Naval Architects of Korea
·
5
Recognition of the light buoy for scan the code mission in 2016 Maritime RobotX Challenge
2017
·
Woohyun Jung
, Joohyun Woo
, et al.
·
IEEE Underwater Technology (UT)
·
5
Real-time three-dimensional ship detection using a monocular camera
2025
·
YeEun Lim
, Nakwan Kim
, et al.
·
Measurement and Control
·
4
Integrated Simulation of Virtual Prototypes and Control Algorithms of Unmanned Surface Vehicles Based on a Robot Operating System
2021
·
Hye-Won Lee
, Joo-Hyun Woo
, et al.
·
Journal of marine science and technology
·
4
PDF
A Study on Integrated Simulation Method for Mine Detection Mission of USV
2017
·
Hye-Won Lee
, Myung-Il Roh
, et al.
·
Korean Journal of Computational Design and Engineering
·
4
A Formation Control of Swarm Unmanned Surface Vehicles Using Potential Field Considering Relative Velocity
2024
·
Seungdae Baek
, Minseung Kim
, et al.
·
Journal of the Society of Naval Architects of Korea
·
3
Vision-Based Obstacle Collision Risk Estimation of an Unmanned Surface Vehicle
2015
·
Joohyun Woo
, Nakwan Kim
·
Journal of Institute of Control Robotics and Systems
·
3
Robust Collision Avoidance for ASVs Using Deep Reinforcement Learning with Sim2Real Methods in Static Obstacle Environments
2025
·
Changgyu Han
, Sekil Park
, et al.
·
Journal of Marine Science and Engineering
·
2
PDF
Path analysis based docking management process for successful docking of autonomous underwater vehicle
2025
·
Seung-Jae Chon
, Joon-Young Kim
, et al.
·
Ocean Engineering
·
2
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Works count:
32
Citation count:
966
H-index:
12
I10-index:
14
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