Hwa-Joon Oh
Papers
1
Total Citations
2
H-Index
1
About
Hwa-Joon Oh is a leading researcher in real-time embedded vision systems, with a primary focus on accelerating image processing algorithms using FPGA and System-on-Chip (SoC) architectures. His most notable contribution is the development of a real-time flexible accelerator for fisheye image correction, implemented on a Zynq SoC platform. This work addresses a critical challenge in robotic navigation, drone vision, and automotive surround-view systems: the nonlinear distortion inherent in fisheye lenses that complicates accurate image interpretation and analysis. By designing a hardware-software co-optimized solution, Oh enables high-speed, low-latency correction suitable for deployment in resource-constrained environments. His 2025 paper on this topic has already garnered early citations, reflecting its timely relevance to the autonomous systems and embedded computer vision communities. Oh’s research bridges the gap between algorithmic complexity and real-time performance, making him a key contributor to the advancement of practical, deployable vision systems for next-generation intelligent vehicles and robotics.
Research Focus
Key Achievements
Top Papers
- 1