Dongha Chung
Dongha Chung
Dept. of Mechanical Engineering, KAIST
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Cited by
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In‐water visual ship hull inspection using a hover‐capable underwater vehicle with stereo vision
S Hong, D Chung, J Kim, Y Kim, A Kim, HK Yoon
Journal of Field Robotics 36 (3), 531-546, 2019
Pose estimation considering an uncertainty model of stereo vision for in-water ship hull inspection
D Chung, J Kim
IFAC-PapersOnLine 51 (29), 400-405, 2018
Pohang Canal Dataset: A Multimodal Maritime Dataset for Autonomous Navigation in Restricted Waters
D Chung, J Kim, C Lee, J Kim
The International Journal of Robotics Research, 2023
Navigable area detection and perception-guided model predictive control for autonomous navigation in narrow waterways
J Kim, C Lee, D Chung, J Kim
IEEE Robotics and Automation Letters, 2023
Development of a hover-capable AUV system for automated visual ship-hull inspection and mapping
S Hong, D Chung, J Kim
OCEANS 2017-Anchorage, 1-5, 2017
Field experiment of autonomous ship navigation in canal and surrounding nearshore environments
J Kim, C Lee, D Chung, Y Cho, J Kim, W Jang, S Park
Journal of Field Robotics 41 (2), 470-489, 2024
Nonlinear model predictive control with obstacle avoidance constraints for autonomous navigation in a canal environment
C Lee, D Chung, J Kim, J Kim
IEEE/ASME Transactions on Mechatronics, 2023
Underwater visual mapping of curved ship hull surface using stereo vision
D Chung, J Kim
Autonomous Robots 47 (1), 109-120, 2023
Underwater pose estimation relative to planar hull surface using stereo vision
D Chung, S Hong, J Kim
2017 IEEE Underwater Technology (UT), 1-4, 2017
NV-LIO: LiDAR-Inertial Odometry using Normal Vectors Towards Robust SLAM in Multifloor Environments
D Chung, J Kim
arXiv preprint arXiv:2405.12563, 2024
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