S. Shigihara

Papers

2

Total Citations

21

H-Index

2

About

S. Shigihara is a robotics researcher whose work centers on autonomous navigation and visual perception for outdoor mobile robots, with a particular focus on lane detection and road-following systems. His major contributions lie in developing robust image processing techniques that enable robots to reliably detect and track half-faded lane markings on asphalt roads in real-world environments. Shigihara’s approach, based on template matching with a “lane mark model,” ensures consistent performance under challenging outdoor lighting and road conditions. His two most-cited papers, “Image processing and motion control of a lane mark drawing robot” (2002, 11 citations) and “Development of a lane mark drawing robot” (2002, 10 citations), together form the foundation of a practical system that integrates vision-based detection with precise motion control for autonomous lane marking. Though his citation counts are modest, Shigihara’s work represents an early and practical step toward automated road maintenance and infrastructure robotics. His research is particularly relevant for students and engineers interested in computer vision, field robotics, and the challenges of deploying autonomous systems in unstructured outdoor environments.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
Image processing and motion control of a lane mark drawing robot
11 citations · 2002
📈 Most Prolific Year: 2002 (2 Papers)
🤝 Key Collaborators: 5

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago