Papers

3

Total Citations

34

H-Index

3

About

Ji Hoon Joung is a robotics researcher whose work focuses on sensor-based perception and intelligent automation for manufacturing and autonomous systems. His key research areas include monocular visual odometry, laser vision sensor calibration, and intelligent robotic arc welding. Joung’s most notable contribution is his pioneering work on monocular visual odometry under planar motion constraints, which demonstrated that a single camera—far more economical than stereo setups—could reliably estimate vehicle motion for autonomous robots. This paper, his most cited with 27 citations, laid important groundwork for cost-effective visual navigation. In parallel, Joung has advanced industrial robotics through his research on sensor-integrated arc welding systems, introducing methods that combine laser vision sensors, Hall effect sensors, and voltmeters to enable real-time seam tracking and adaptive control. His work on autonomous calibration of 2D laser displacement sensors, using a single point on a flat structure, further simplified sensor setup for welding robots, improving their practical deployment. Together, Joung’s contributions bridge the gap between low-cost perception and high-precision industrial automation, making him a notable figure in applied robotics and sensor-guided manufacturing.

Research Focus

Key Achievements

3
H-Index
3
Papers
34
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
What does ground tell us? Monocular visual odometry under planar motion constraint
27 citations · 2011
📈 Most Prolific Year: 2014 (2 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Electronics and Telecommunications Research Institute

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago