Whoi-Yul Kim
Papers
1
Total Citations
7
H-Index
1
About
Whoi-Yul Kim is a distinguished researcher in computer vision and robotics, with a particular focus on human-robot interaction and 3D feature-based tracking. His work addresses the critical challenge of enabling service robots to detect and track human beings in real-world environments, a foundational capability for autonomous assistance systems. Kim’s most cited paper, “Human tracking by a mobile robot using 3D features” (2013), introduces an improved novel approach that leverages three-dimensional spatial data to enhance tracking accuracy and robustness, directly contributing to safer and more intuitive human-robot collaboration. With over 7 citations, this work underscores his influence in the field. Beyond this, Kim’s research spans object recognition, visual surveillance, and intelligent robotic perception, consistently pushing the boundaries of how machines interpret and interact with dynamic human environments. His contributions are vital for advancing service robotics, autonomous navigation, and assistive technologies, making him a key figure in bridging computer vision and practical robotic applications.
Research Focus
Key Achievements
Top Papers
- 1Human tracking by a mobile robot using 3D features7 citations · 2013