Keisuke Fukada
Papers
1
Total Citations
4
H-Index
1
About
Keisuke Fukada is a researcher at the forefront of embedded systems and autonomous robotics, with a specialized focus on accelerating real-time image processing through FPGA-based hardware. His most cited work, “An autonomous driving system utilizing image processing accelerated by FPGA” (2021), demonstrates a practical integration of programmable logic and processing systems using the Ultra96-V2 board. By leveraging ROS (Robot Operating System) as a middleware framework, Fukada developed a compact autonomous driving platform that offloads computationally intensive vision tasks to hardware, achieving the low-latency performance essential for safe navigation. This contribution highlights his expertise in bridging software control and hardware acceleration—a critical challenge in resource-constrained robotic systems. While his citation count is still growing, the work represents a foundational step toward efficient, real-world autonomous systems. Fukada’s research is particularly relevant for students and engineers exploring edge AI, FPGA-based robotics, and the intersection of computer vision with embedded design, offering a clear example of how hardware-software co-design can enable smarter, faster autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1