Chul-Hee Choi
Papers
1
Total Citations
3
H-Index
1
About
Chul-Hee Choi is a researcher specializing in mobile robotics and computer vision, with a primary focus on self-localization techniques for autonomous systems. His most notable work, "A Study on Fisheye Lens based Features on the Ceiling for Self-Localization" (2011), addresses a critical challenge in robotics: enabling robots to accurately determine their position in indoor environments. Choi proposed an innovative approach using a single camera equipped with a wide-angle fisheye lens to capture ceiling features for localization. His method involves correcting the inherent distortion of fisheye images, extracting robust features using Scale-Invariant Feature Transform (SIFT), and matching these features across sequential frames to derive an optimized region function. This work contributes to the broader field of Simultaneous Localization and Mapping (SLAM), offering a practical solution for robots operating in feature-sparse indoor spaces. While the paper has received limited citations, its technical contribution lies in integrating fisheye lens advantages—such as a wide field of view—with reliable feature extraction, making it a valuable reference for researchers exploring vision-based navigation in constrained environments.
Research Focus
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Top Papers
- 1