 |
|
Mission Management Technique for Multi-sensor-based AUV Docking
Hyungjoo Kang, Gun Rae Cho, Min-Gyu Kim, Mun-Jik Lee, Ji-Hong Li, Ho Sung Kim, Hansol Lee, Gwonsoo Lee
J. Ocean Eng. Technol.. 2022;36(3):181-193. Published online 2022 May 23 DOI: https://doi.org/10.26748/KSOE.2022.001
|
|
Citations to this article as recorded by
 The docking control system of an autonomous underwater vehicle combining intelligent object recognition and deep reinforcement learning
Chao-Ming Yu, Yu-Hsien Lin
Engineering Applications of Artificial Intelligenc.2025; 139: 109565. CrossRef Deep learning-based robust positioning scheme for imaging sonar guided dynamic docking of autonomous underwater vehicle
Zhao Wang, Xianbo Xiang, Xiawei Guan, Han Pan, Shaolong Yang, Hong Chen
Ocean Engineering.2024; 293: 116704. CrossRef A review of underwater docking and charging technology for autonomous vehicles
Jixin Liu, Fei Yu, Bo He, C. Guedes Soares
Ocean Engineering.2024; 297: 117154. CrossRef Homing tracking control of autonomous underwater vehicle based on adaptive integral event-triggered nonlinear model predictive control
Wenhua Wu, Wei Zhang, Xue Du, Zixuan Li, Qiang Wang
Ocean Engineering.2023; 277: 114243. CrossRef An Experimental Study on Trajectory Tracking Control of Torpedo-like AUVs Using Coupled Error Dynamics
Gun Rae Cho, Hyungjoo Kang, Min-Gyu Kim, Mun-Jik Lee, Ji-Hong Li, Hosung Kim, Hansol Lee, Gwonsoo Lee
Journal of Marine Science and Engineering.2023; 11(7): 1334. CrossRef Development of Test-Equipment for AUVs’ Navigation Performance Pre-verification
Hansol Lee, Gwonsoo Lee, Ho Sung Kim, Kihwan Choi, Jinwoo Choo, Hyungjoo Kang
Journal of Korea Robotics Society.2023; 18(4): 472. CrossRef
|