Hae Min Cho
Papers
2
Total Citations
7
H-Index
2
About
Hae Min Cho is a researcher specializing in robotics and computer vision, with a core focus on Simultaneous Localization and Mapping (SLAM) and 3D environmental reconstruction. Her work addresses critical challenges in autonomous navigation, particularly in handling imperfect sensor data and dynamic environmental conditions. In her 2015 study on pose estimation and 3D reconstruction using less reliable depth data from Time-of-Flight sensors, Cho developed robust methods for camera tracking and static environment modeling, directly tackling the practical limitations of affordable depth sensors. Her 2019 research on visual loop closure detection under illumination change advanced SLAM systems by improving the reliability of bag-of-visual-words methods, enabling robots to recognize previously visited locations even when lighting conditions vary dramatically. Though her published work has accumulated modest citation counts—4 and 3 citations respectively—these contributions are significant for researchers working on cost-effective SLAM solutions and vision-based navigation in challenging real-world environments. Cho’s research demonstrates a practical engineering approach to making autonomous systems more resilient and accurate.
Research Focus
Key Achievements
Top Papers
- 1
- 2Visual Loop Closure Detection over Illumination Change3 citations · 2019