Y. Matsumuro

Papers

Total Citations

H-Index

About

Y. Matsumuro is a robotics and computer vision researcher whose work focuses on autonomous navigation and image processing for outdoor mobile robots. Their most significant contributions center on the development of a lane mark drawing robot, a system designed to detect and follow half-faded lane markings on asphalt roads in real-world environments. Matsumuro’s key innovation lies in a template-matching-based image processing method that ensures reliable lane detection and high-speed tracking, even under challenging outdoor conditions. This work, published in 2002, has garnered 11 and 10 citations for its two core papers, demonstrating its foundational role in the field of autonomous road maintenance and robotic guidance. By addressing the practical problem of faded lane markings—a common hazard for both human drivers and autonomous systems—Matsumuro’s research bridges the gap between computer vision algorithms and real-world robotic applications. Their contributions are particularly notable for emphasizing robustness and speed, making the system suitable for actual deployment. For students and researchers in robotics and intelligent transportation, Matsumuro’s work serves as a clear example of how targeted image processing techniques can enable precise, autonomous vehicle control in unstructured outdoor environments.