Ryotaro Negishi
Papers
1
Total Citations
4
H-Index
1
About
Ryotaro Negishi is a researcher at the forefront of embedded systems and autonomous robotics, with a specialized focus on hardware-accelerated computer vision. His most-cited work, "An autonomous driving system utilizing image processing accelerated by FPGA" (2021), demonstrates a pioneering approach to real-time visual perception by leveraging FPGA-based acceleration on the Ultra96-V2 platform. This system, orchestrated through the Robot Operating System (ROS), showcases how programmable logic can offload computationally intensive image processing tasks, enabling more responsive and efficient autonomous navigation. While his citation count of 4 reflects the niche and emerging nature of this hardware-software co-design field, Negishi’s contribution is notable for its practical integration of reconfigurable computing into a complete robotic driving stack. His work bridges the gap between theoretical FPGA acceleration and tangible autonomous systems, offering a blueprint for low-latency, power-efficient perception in robotics. For students and researchers exploring the intersection of embedded hardware and autonomous driving, Negishi’s research provides a compelling case study in how custom hardware can unlock new performance frontiers in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1