ChiWon Sung

Pohang University of Science and Technology

Papers

Total Citations

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About

ChiWon Sung is a robotics researcher whose work focuses on advancing sensor perception and state estimation for autonomous systems. His research spans the critical areas of sensor suitability analysis, visual odometry, and depth perception, addressing fundamental challenges in how robots perceive and navigate their environments. Sung's most influential work, "Suitability of Various Lidar and Radar Sensors for Application in Robotics: A Measurable Capability Comparison" (2022, 7 citations), provides a systematic framework for evaluating and comparing different depth-sensing technologies, offering practical guidance for sensor selection in robotics applications such as navigation and collision avoidance. This contribution has become a valuable reference for researchers and engineers designing perception systems. In his more recent work, "Effective Feature-Based Downward-Facing Monocular Visual Odometry" (2023, 2 citations), Sung proposes an innovative approach to pose estimation that leverages affordable monocular cameras and systematic optimization, demonstrating how cost-effective sensor systems can achieve accurate localization—a critical capability for industrial and service robotics. His research exemplifies the practical engineering mindset needed to bridge the gap between theoretical sensor capabilities and real-world robotic performance, making him a notable contributor to the field of robotic perception and autonomous navigation.