Papers

13

Total Citations

48

H-Index

4

About

Sung-Ho Hong is a leading robotics researcher specializing in autonomous navigation, pipe inspection and maintenance robotics, and intelligent system integration. His work addresses critical challenges in both mobile robot autonomy and industrial infrastructure maintenance. Hong’s most impactful contribution is his development of a visual odometry system for outdoor environments, which uses a downward-tilting stereo camera and a self-shadow removal algorithm to overcome depth inaccuracies—a fundamental problem in outdoor robot navigation (8 citations). He has also made significant advances in pipe robotics, designing robots for cleaning, inspection, and grinding in water pipelines, natural gas lines, and steel manufacturing equipment, with notable systems for pipes ranging from 250 to 500A. His research extends to multi-floor navigation, underwater navigation for AUVs, and robust outdoor localization using scan matching. Hong’s work on embedded control systems for untethered in-pipe inspection robots and his system integration method using robotic intelligent components demonstrate his commitment to practical, deployable solutions. With a career spanning from boiler tube inspection (2004) to pipe spatter detection and grinding (2022), his research consistently bridges the gap between laboratory innovation and real-world industrial application.

Research Focus

Key Achievements

4
H-Index
13
Papers
48
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Visual odometry for outdoor environment using a downward-tilting camera and self-shadow removal algorithm
8 citations · 2012
📈 Most Prolific Year: 2012 (2 Papers)
🤝 Key Collaborators: 32
🏛 Institutions: Korea University, Korea Institute of Robot and Convergence

Top Papers

  1. 1
    Visual odometry for outdoor environment using a downward-tilting camera and self-shadow removal algorithm
    8 citations · 2012
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago