Sanae Shimizu

Soft99 (Japan)

Papers

1

Total Citations

5

H-Index

1

About

Sanae Shimizu is a researcher whose work lies at the intersection of robotics and computer vision, with a particular focus on omnidirectional sensing and moving object detection. Her key contributions center on developing robust methods for mobile robots to perceive dynamic environments—a critical capability for safe human-robot interaction. Her most cited work, "Detection of moving object by mobile stereo omnidirectional system (SOS)" (2005, 5 citations), proposes an innovative approach that leverages a stereo omnidirectional camera system to detect moving objects while the robot itself is in motion. This research addresses a fundamental challenge in autonomous robotics: distinguishing between stationary and moving elements in a scene from a moving platform. By integrating stereo vision with a 360-degree field of view, Shimizu’s system enhances situational awareness, enabling robots to better navigate and interact in human-populated spaces. While her citation count is modest, the technical novelty of her method—combining omnidirectional imagery with motion detection under egomotion—has provided a foundation for subsequent work in mobile perception. Her research exemplifies the practical engineering required to bring robots out of controlled labs and into dynamic, real-world environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Detection of moving object by mobile stereo omnidirectional system (SOS)
5 citations · 2005
📈 Most Prolific Year: 2005 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Soft99 (Japan)

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago