Kenta Arai
Papers
1
Total Citations
6
H-Index
1
About
Kenta Arai is a researcher at the forefront of embedded systems and autonomous driving technology, with a focus on real-time image processing using field-programmable gate arrays (FPGAs). His most cited work, "Development of a Robot Car by Single Line Search Method for White Line Detection with FPGA" (2018, 6 citations), addresses a critical challenge in Level 5 autonomous driving: achieving reliable, real-time image recognition as a multiplex safety measure. Arai’s key contribution lies in demonstrating that FPGA-based implementations can overcome the performance limitations of conventional microprocessors for lane detection tasks. By proposing a single line search method for white line detection, he provided a practical, hardware-accelerated solution that enhances both speed and robustness in autonomous navigation systems. While his citation count reflects a focused, early-stage impact, Arai’s work is notable for bridging the gap between theoretical computer vision and deployable embedded hardware—a vital step toward safer self-driving cars. His research continues to inspire students and engineers exploring FPGA applications in real-time control and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1