Hyowon Ha

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Hyowon Ha is a researcher whose work lies at the intersection of robotics, computer vision, and sensor fusion. His key research areas include multi-camera calibration, 3D depth sensing, and autonomous navigation. Ha’s most cited paper, "A novel 2.5D pattern for extrinsic calibration of ToF and camera fusion system" (2011, 22 citations), introduced an innovative calibration pattern that significantly improved the accuracy of Time-of-Flight (ToF) camera systems. This contribution addressed a critical gap in the field, where most prior work focused on intrinsic calibration, while Ha’s method enabled precise extrinsic alignment between depth and color sensors—a foundational step for robust 3D perception. His work on "Fused robot pose estimation using embedded and external cameras" (2015, 2 citations) further demonstrates his interest in practical robotics, specifically developing vision systems for autonomous lawn mowers. By fusing data from multiple cameras, Ha contributed to more reliable pose estimation in real-world, outdoor environments. Though his citation counts are modest, his calibration technique has been a valuable reference for researchers working on sensor fusion and autonomous systems. Ha’s research exemplifies the importance of precise calibration in enabling practical, real-world robotic applications.