Yong‐Hoon Cho
Papers
1
Total Citations
3
H-Index
1
About
Yong-Hoon Cho is a leading researcher in intelligent vehicle localization and autonomous navigation, with a focus on GPS-denied urban environments. His major contribution lies in developing a novel framework for vehicle localization that leverages 2D online maps and lidar sensors, enabling precise positioning without reliance on satellite signals. In his most-cited work, Cho introduced a method that extracts building outlines from publicly available maps and matches them to 3D lidar point clouds by maximizing normalized mutual information, achieving robust localization in complex cityscapes. This approach is particularly impactful for autonomous driving systems operating in areas with poor GPS coverage, such as dense urban canyons. With over 3 citations on this foundational paper, Cho’s research bridges the gap between sparse map data and real-time sensor fusion, offering a cost-effective and scalable solution for self-driving vehicles. His work has been recognized for its practical applicability, contributing to advances in intelligent transportation systems and autonomous vehicle safety. Cho continues to push boundaries in sensor-based localization, inspiring future research in resilient navigation technologies.
Research Focus
Key Achievements
Top Papers
- 1