Jonghyeon Kim
Papers
1
Total Citations
11
H-Index
1
About
Jonghyeon Kim is a robotics researcher whose work focuses on sensor fusion, mobile robot localization, and vision-based tracking systems. His most cited paper, "Vision tracking system for mobile robots using two Kalman filters and a slip detector" (2010, 11 citations), presents an innovative approach that integrates data from accelerometers, gyroscopes, encoders, and vision sensors to estimate robot position relative to a target. A key contribution is the use of two Kalman filters combined with a slip detector to compensate for encoder inaccuracies caused by wheel slippage, significantly improving tracking reliability on uneven terrain. This work demonstrates Kim's expertise in multi-sensor integration and robust state estimation for mobile robotics. While his citation count reflects a focused, early-career impact, his research addresses fundamental challenges in autonomous navigation—particularly the fusion of proprioceptive and exteroceptive sensors to achieve accurate, real-time positioning. Kim's contributions are valuable for students and researchers working on mobile robot control, sensor fusion algorithms, and vision-guided navigation systems, offering practical solutions for handling real-world uncertainties like wheel slip.
Research Focus
Key Achievements
Top Papers
- 1