Do‐Hyung Lee

Tokai University

Papers

1

Total Citations

3

H-Index

1

About

Do-Hyung Lee is a researcher specializing in embedded systems, reconfigurable computing, and autonomous robotics, with a particular focus on FPGA-based hardware-software co-design. His most cited work, "Design and Development of Networked Multiple FPGA Components for Autonomous Tiny Robot Car" (2019), presents a novel system architecture that integrates multiple FPGA components to enable real-time image recognition tasks—including lane detection, traffic signal identification, and obstacle recognition—for autonomous miniature vehicles. This contribution, developed for the FPT'19 FPGA design competition, demonstrates how distributed FPGA processing can overcome the computational constraints of small-scale robotics. Lee's approach emphasizes modular, networked FPGA components that work in concert to handle complex perception tasks efficiently. While his citation count is currently modest (3 citations for this flagship paper), the work represents a practical engineering achievement in applying reconfigurable hardware to autonomous navigation challenges. His research bridges the gap between theoretical FPGA design and real-world robotic applications, offering a scalable framework for tiny autonomous systems that could inform future developments in edge computing and embedded AI.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Design and Development of Networked Multiple FPGA Components for Autonomous Tiny Robot Car
3 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Tokai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago