Gyu Hyeon Hwang

Sungkyunkwan University

Papers

1

Total Citations

2

H-Index

1

About

Dr. Gyu Hyeon Hwang is a leading researcher in embedded vision systems and real-time image processing, with a focus on hardware acceleration for advanced camera technologies. 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, published in 2025, addresses a critical challenge in fisheye cameras—their intrinsic nonlinear distortion—which complicates accurate image interpretation for applications like robotic navigation, drone vision, and automotive surround-view systems. By leveraging FPGA-based acceleration, Dr. Hwang’s design enables high-speed, low-latency correction, making it practical for real-world deployment. Though early in its citation impact, this paper has already garnered attention for its practical utility in embedded systems. Dr. Hwang’s research bridges the gap between hardware efficiency and algorithmic robustness, offering scalable solutions for next-generation vision systems. His work is particularly relevant for students and engineers working on autonomous vehicles, robotics, and edge AI, where real-time, distortion-free imaging is essential. With a growing portfolio, Dr. Hwang is poised to make further strides in intelligent vision hardware.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Real-Time Flexible Accelerator for Fisheye Image Correction Based on Zynq SoC
2 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Sungkyunkwan University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago