Eri Yamaguchi

Papers

1

Total Citations

3

H-Index

1

About

Eri Yamaguchi is a robotics researcher whose work focuses on advancing perception and localization in challenging environments, particularly through the integration of novel sensing modalities. Her primary research areas include Simultaneous Localization and Mapping (SLAM), sensor fusion, and the use of polarization imaging for environmental understanding. Yamaguchi’s most notable contribution is her innovative approach to handling one of SLAM’s persistent failure points: glass surfaces. In her 2021 paper, "SLAM in Environment with Glass Using Degree of Polarization from Polarization Camera and Depth Information from LRF," she proposed a method that fuses data from a polarization camera with a laser range finder (LRF). By calculating a "glass confidence" for each LRF point based on the degree of polarization, her system can reliably detect and map glass, significantly improving SLAM accuracy in indoor spaces like offices or malls. This work, which has garnered 3 citations, demonstrates her ability to solve a practical, real-world problem that traditional sensors struggle with. Yamaguchi’s research is paving the way for more robust autonomous navigation in complex, human-centric environments, making her a rising figure in the field of robotic perception.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
SLAM in Environment with Glass Using Degree of Polarization from Polarization Camera and Depth Information from LRF
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago