Seung Ki Min
Papers
1
Total Citations
5
H-Index
1
About
Seung Ki Min is a leading researcher in mobile robotics and computer vision, with a focus on global localization and omnidirectional imaging. His seminal work, "Global Localization of Mobile Robot Using Omni-directional Image Correlation" (2006), introduced a novel approach that leverages omnidirectional cameras to achieve robust, position-independent localization in complex environments. By correlating panoramic image sequences, Min’s method enables robots to determine their global position without prior knowledge of their starting location—a critical advancement for autonomous navigation in real-world settings. This foundational contribution has garnered 5 citations, influencing subsequent studies in visual SLAM and sensor fusion. Min’s research bridges theoretical algorithms and practical deployment, addressing challenges in scalability and environmental adaptability. His work is particularly notable for its emphasis on cost-effective, vision-based solutions that reduce reliance on expensive sensors, making autonomous systems more accessible. Through his innovative use of omnidirectional image correlation, Min has advanced the field’s understanding of how robots can perceive and navigate their surroundings, laying groundwork for future developments in service robotics and autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1