Byoung-Kyu Dan
Papers
1
Total Citations
6
H-Index
1
About
Byoung-Kyu Dan is a researcher in robotics and intelligent systems, with a focus on human-robot interaction and sensor fusion for autonomous navigation. His most-cited work, "Real-time human tracking using fusion sensor for home security robot" (2012, 6 citations), addresses a critical challenge in home security robotics: robust human tracking under varying illumination. Dan proposed a novel fusion of vision and depth sensors, overcoming the limitations of conventional single-sensor systems that fail in changing light conditions. This contribution laid groundwork for more reliable, real-time tracking in domestic environments, enhancing robot autonomy and safety. While his citation count is modest, his work reflects an early and practical approach to integrating multimodal sensing—a theme now central to modern robotics. Dan’s research is particularly relevant for students and engineers developing affordable, efficient home security solutions, demonstrating how sensor fusion can bridge the gap between laboratory prototypes and real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Real-time human tracking using fusion sensor for home security robot6 citations · 2012