Hiromichi Wakatsuki
Papers
1
Total Citations
6
H-Index
1
About
Hiromichi Wakatsuki’s research centers on advancing autonomous driving systems through real-time image recognition and FPGA-based hardware acceleration. 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 bottleneck in Level 5 autonomous driving: the need for multiplex safety technologies that can process visual data in real time. Recognizing that conventional microprocessors struggle with this demand, Wakatsuki pioneered the implementation of a driving system on FPGA, enabling efficient, high-speed white line detection. This contribution highlights his focus on bridging the gap between hardware design and practical autonomous navigation, offering a scalable solution for safer self-driving vehicles. His work underscores the potential of reconfigurable computing to overcome latency and power constraints in embedded systems. While his citation count reflects a niche but growing field, Wakatsuki’s approach has implications for robotics and edge AI, positioning him as a researcher dedicated to making autonomous technology more reliable and responsive through innovative hardware-software co-design.
Research Focus
Key Achievements
Top Papers
- 1