Seunghun Jin

About

Seunghun Jin is a researcher whose work sits at the intersection of embedded systems, robotics, and real-time machine vision, with a particular emphasis on FPGA-based implementations. His most-cited paper, "Real-time sound source localization system based on FPGA" (2008, 19 citations), introduces a system that uses three microphones and time-delay of arrivals (TDOA) to calculate sound direction, showcasing his ability to translate complex signal processing into efficient hardware. Jin’s contributions extend to autonomous photography with the "Automatically available photographer robot for controlling composition and taking pictures" (2010, 14 citations), a project that leverages IT advances to automate image composition. He has also advanced remote robot control through FPGA-based image processing (2009, 6 citations) and developed a motion-vision integrated system for industrial machine vision (2009, 4 citations). With a cumulative impact of over 40 citations, Jin’s work is notable for its practical, hardware-driven approach to solving real-time perception challenges, making him a key figure in the development of responsive, intelligent robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   Real-time sound source localization system based on FPGA

   19 citations · 2008
2. 2
   Automatically available photographer robot for controlling composition and taking pictures

   14 citations · 2010
3. 3
   FPGA-based image processing system for remote robot control

   6 citations · 2009
4. 4
   An FPGA-based motion-vision integrated system for real-time machine vision applications

   4 citations · 2009

Key Collaborators

Contact & Links