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Seonghun Hong
Seonghun Hong
Assistant Professor, Keimyung University
Verified email at kmu.ac.kr
Title
Cited by
Cited by
Year
Development of an unmanned surface vehicle system for the 2014 Maritime RobotX Challenge
J Park, M Kang, T Kim, S Kwon, J Han, J Wang, S Yoon, B Yoo, S Hong, ...
Journal of Field Robotics 34 (4), 644-665, 2017
482017
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
442019
Three-dimensional visual mapping of underwater ship hull surface using piecewise-planar SLAM
S Hong, J Kim
International Journal of Control, Automation and Systems 18 (3), 564-574, 2020
302020
A robust loop-closure method for visual SLAM in unstructured seafloor environments
S Hong, J Kim, J Pyo, SC Yu
Autonomous Robots 40, 1095-1109, 2016
302016
Robust loop closure method for multi-robot map fusion by integration of consistency and data similarity
H Do, S Hong, J Kim
IEEE Robotics and Automation Letters 5 (4), 5701-5708, 2020
232020
Selective image registration for efficient visual SLAM on planar surface structures in underwater environment
S Hong, J Kim
Autonomous Robots 43, 1665-1679, 2019
152019
Online underwater optical mapping for trajectories with gaps
A Elibol, H Shim, S Hong, J Kim, N Gracias, R Garcia
Intelligent Service Robotics 9, 217-229, 2016
92016
Development of USV autonomy for the 2014 maritime RobotX challenge
M Kang, S Kwon, J Park, T Kim, J Han, J Wang, S Hong, Y Shim, S Yoon, ...
IFAC-PapersOnLine 48 (16), 13-18, 2015
92015
Three-dimensional visual mapping of underwater ship hull surface using image stitching geometry
S Hong, J Kim
Ocean Engineering 269, 113575, 2023
82023
Three-dimensional visual mapping of underwater ship hull surface using view-based piecewise-planar measurements
S Hong, J Kim
IFAC-PapersOnLine 52 (21), 384-389, 2019
62019
Efficient visual SLAM using selective image registration for autonomous inspection of underwater structures
S Hong, J Kim
2016 IEEE/OES Autonomous Underwater Vehicles (AUV), 189-194, 2016
62016
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
52017
Special issue on recent advancements in simultaneous localization and mapping (SLAM) and its applications
S Hong, SY Park, S Lee, J Kim, JI Park
ETRI JOURNAL 43 (4), 577-579, 2021
42021
Automatic waterline detection and 3D reconstruction in model ship tests using stereo vision
S Hong, J Kim, S Hwang
Electronics Letters 55 (9), 527-529, 2019
42019
Underwater visual SLAM with loop-closure using image-to-image link recovery
S Hong, T Kim, J Kim
OCEANS 2015-Genova, 1-6, 2015
42015
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
32017
Visual SLAM with keyframe selection for underwater structure inspection using an autonomous underwater vehicle
S Hong, J Kim
2016 13th International Conference on Ubiquitous Robots and Ambient …, 2016
22016
Visual SLAM using local bundle optimization in unstructured seafloor environment
S Hong, J Kim
Journal of Korea Robotics Society 9 (4), 197-205, 2014
22014
실내 환경에서의 레이저 반사도를 고려한 라이다 기반 지도 작성
이로운, 박정홍, 홍성훈
로봇학회 논문지 18 (2), 135-142, 2023
2023
A robust underwater object detection method using forward-looking sonar images
S Hong
Remote Sensing Letters 14 (5), 442-449, 2023
2023
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Articles 1–20