Jae Wook Jeon

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About

Jae Wook Jeon has made significant contributions to the fields of real-time image processing, robotic vision systems, and human-robot interaction. His research focuses on developing efficient hardware-accelerated solutions for visual perception and control in intelligent vehicles and service robots. Jeon's most impactful work includes a pioneering FPGA-based real-time line detection system (2008, 14 citations), which addressed critical needs in object identification and robot navigation by enabling fast, reliable extraction of line features from images. He also advanced human-robot communication through a low-cost voice recognition chip for multi-robot control (2002, 6 citations) and developed robotic graphic simulators for tele-operation (2002, 5 citations) to overcome communication delays and information limitations in remote tasks. More recently, his work on a real-time flexible accelerator for fisheye image correction using Zynq SoC (2025) demonstrates ongoing innovation in correcting nonlinear distortion for applications in robotic navigation, drone vision, and automotive surround-view systems. Jeon's research consistently bridges hardware acceleration with practical robotics challenges, making his work foundational for real-time vision systems in autonomous platforms.