Chi-Won Roh
Papers
7
Total Citations
212
H-Index
5
About
Chi-Won Roh is a robotics researcher whose work has significantly advanced the field of autonomous mobile robot navigation, particularly in challenging outdoor and urban environments. His research centers on sensor fusion, localization, and perception systems that enable robots to navigate reliably without depending solely on GPS — a notoriously unreliable signal in dense urban settings. Roh's most influential contribution, "A Lidar-Based Decision-Making Method for Road Boundary Detection Using Multiple Kalman Filters" (2012, 108 citations), introduced an innovative interacting multiple model approach that uses lidar to detect road boundaries, offering a robust solution where GPS fails. This work has become a key reference in autonomous vehicle research. His earlier paper on outdoor navigation using Differential GPS and curb detection (2007, 74 citations) further demonstrated his expertise in fusing multiple sensor modalities — including odometry, laser range finders, and DGPS — through Extended Kalman Filter frameworks to achieve dependable robot localization. Across his body of work, Roh has also explored teleoperated navigation strategies, fuzzy logic-based decision making for safe driving, and vision-laser sensor fusion for line detection. Collectively accumulating over 200 citations, his research has helped lay practical groundwork for autonomous ground vehicles navigating real-world urban infrastructure.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Development of Patrol Robot using DGPS and Curb Detection9 citations · 2007
- 4Development of Autonomous Navigation Robot in Outdoor Road Environments7 citations · 2009
- 5
- 6Sensor fusion-based line detection for unmanned navigation5 citations · 2010
- 7A fuzzy decision making algorithm for safe driving in urban environment3 citations · 2007