Tomoya Wakaizumi
Papers
1
Total Citations
4
H-Index
1
About
Tomoya Wakaizumi is a researcher at the forefront of embedded systems and autonomous robotics, with a particular focus on hardware-accelerated perception. His most-cited work, "An autonomous driving system utilizing image processing accelerated by FPGA" (2021, 4 citations), introduces a novel approach to real-time visual processing by leveraging FPGA-based acceleration on the Ultra96-V2 platform. This system integrates the Robot Operating System (ROS) to manage control and perception, demonstrating how programmable logic can offload computationally intensive tasks from traditional processors. Wakaizumi’s contributions lie in bridging the gap between high-level robotics middleware and low-level hardware design, enabling more efficient and responsive autonomous navigation. His work is especially relevant for students and researchers interested in edge computing, real-time image processing, and the practical deployment of autonomous systems on resource-constrained devices. By combining FPGA acceleration with ROS, Wakaizumi provides a scalable framework that advances the feasibility of compact, high-performance autonomous driving solutions.
Research Focus
Key Achievements
Top Papers
- 1