Nozomu Togawa
Papers
2
Total Citations
19
H-Index
2
About
Nozomu Togawa is a leading researcher in embedded systems and autonomous driving, with a focus on FPGA-based acceleration and robotics middleware. His work bridges the gap between high-performance hardware and real-time autonomous control, particularly through the integration of ROS (Robot Operating System) with programmable logic. Togawa’s most cited paper, “Implementation of a ROS-Based Autonomous Vehicle on an FPGA Board” (2019, 15 citations), demonstrates a pioneering approach to building miniature autonomous vehicles using FPGA design competitions as testbeds. His follow-up work, “An Autonomous Driving System Utilizing Image Processing Accelerated by FPGA” (2021, 4 citations), further refines this concept by offloading vision tasks to FPGA hardware on the Ultra96-V2 platform, achieving efficient real-time processing. These contributions are notable for their practical, hands-on methodology—showcasing how low-cost, reconfigurable hardware can enable sophisticated autonomy. Togawa’s research is particularly impactful for students and engineers seeking to understand the intersection of hardware acceleration, embedded systems, and autonomous navigation, offering a replicable framework for prototyping self-driving vehicles in academic and competitive settings.
Research Focus
Key Achievements
Top Papers
- 1Implementation of a ROS-Based Autonomous Vehicle on an FPGA Board15 citations · 2019
- 2