Sung Boo Chung
Papers
1
Total Citations
2
H-Index
1
About
Dr. Sung Boo Chung is a robotics researcher whose work centers on vision-based control and autonomous mobile robot navigation. His most-cited contribution, the 2007 paper "Moving target tracking of mobile robot using 1-D image projection method," introduced an efficient object tracking scheme that leverages a single CMOS camera. By employing a 1-D image projection algorithm, Dr. Chung's method simplifies the computational complexity of tracking moving objects—such as a ball in experimental verification—while maintaining reliable performance for real-time robotic applications. This work has garnered 2 citations, reflecting its foundational role in low-cost, vision-driven tracking systems. Dr. Chung's research addresses key challenges in autonomous robotics, including sensor integration and efficient image processing, with implications for service robots and automated surveillance. His approach demonstrates how streamlined algorithms can enable robust tracking without high-end hardware, making mobile robotics more accessible. For students and researchers exploring vision-based control, Dr. Chung's work offers a practical example of balancing algorithmic simplicity with real-world effectiveness.
Research Focus
Key Achievements
Top Papers
- 1Moving target tracking of mobile robot using 1-D image projection method2 citations · 2007