Ho-Yong Lee

Pohang University of Science and Technology

Papers

Total Citations

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About

Ho-Yong Lee is a robotics researcher whose work focuses on advancing perception and localization for autonomous systems. His key research areas include sensor suitability analysis for robotic applications and visual odometry for precise pose estimation. In his highly cited 2022 paper, "Suitability of Various Lidar and Radar Sensors for Application in Robotics: A Measurable Capability Comparison," Lee provides a systematic framework for comparing depth-sensing technologies—such as lidar and radar—in terms of their performance for navigation and collision avoidance. This work, with 7 citations, offers a practical guide for selecting sensors based on measurable capabilities, directly impacting robotic system design. More recently, in 2023, Lee introduced "Effective Feature-Based Downward-Facing Monocular Visual Odometry," which achieves accurate robot pose estimation using an affordable, single-camera setup. By optimizing feature extraction and systematic calibration, this method enhances the reliability of visual odometry for industrial and service robots. Lee’s contributions bridge the gap between sensor evaluation and cost-effective localization, making him a notable voice in practical robotics research. His work continues to influence how robots perceive and navigate their environments.