Ki Hoon Kim

Papers

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About

Ki Hoon Kim is a researcher whose work sits at the intersection of embedded systems, real-time image processing, and intelligent robotics. His key contributions focus on developing efficient, hardware-accelerated vision algorithms, particularly for line detection—a critical capability for autonomous navigation in intelligent vehicles and service robots. His most cited work, "A real-time finite line detection system based on FPGA" (2008, 14 citations), addresses the growing demand for robust line features in object identification and robot guidance. By leveraging FPGA-based implementation, Kim demonstrated how to achieve real-time performance, a significant advancement for systems requiring immediate visual feedback. This work highlights his ability to bridge theoretical image processing with practical, deployable hardware solutions. His research has implications for autonomous driving, industrial automation, and mobile robotics, where reliable, low-latency perception is essential. Kim’s contributions underscore the importance of marrying algorithmic efficiency with hardware design to meet the real-world demands of intelligent systems.