Ik-Hwan Kim

Papers

Total Citations

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About

Ik-Hwan Kim is a leading researcher in robotics and computer vision, with a focus on real-time stereo vision systems for mobile robots. His most-cited work, "An embodiment of stereo vision system for mobile robot for real-time measuring distance and object tracking" (2007, 18 citations), introduces an active stereo vision architecture that enables robots to detect objects, measure distances, and track targets in real time through camera-based image processing. This contribution addresses a critical challenge in autonomous navigation: the need for robust, low-latency visual feedback to control robotic movement. Kim’s research emphasizes the integration of hardware and software to achieve practical, deployable systems, bridging the gap between theoretical computer vision and real-world robotics applications. His work has influenced subsequent studies in mobile robot perception and object tracking, particularly in environments requiring dynamic response. By advancing stereo vision techniques for distance measurement and tracking, Kim has contributed to foundational technologies used in autonomous vehicles, surveillance, and industrial automation. His achievements underscore the importance of efficient image processing algorithms and hardware-software co-design in enabling intelligent robotic behavior.