Hiroshi Higuchi
Papers
2
Total Citations
5
H-Index
2
About
Hiroshi Higuchi is a researcher advancing the frontiers of robotic perception and 3D environmental sensing. His primary research areas include simultaneous localization and mapping (SLAM), sensor fusion, and infrastructure measurement. Higuchi’s major contribution lies in addressing the challenge of mapping transparent surfaces, such as glass, which traditionally confound laser-based sensors. In his most-cited work, "SLAM in Environment with Glass Using Degree of Polarization from Polarization Camera and Depth Information from LRF" (2021, 3 citations), he pioneered a method that fuses depth data from a laser range finder with polarization cues from a camera. This approach calculates a "glass confidence" for each point, dramatically improving SLAM accuracy in glass-heavy environments like modern buildings. Higuchi also demonstrated innovation in large-scale infrastructure monitoring with "Cooperative 3D tunnel measurement based on 2D–3D registration of omnidirectional laser light" (2023, 2 citations). This work introduces a high-density 3D tunnel measurement technique that registers 2D and 3D point clouds to detect subtle deformations and defects. Though his citation counts are modest, Higuchi’s work tackles fundamental perception problems with practical implications for autonomous navigation and civil engineering, marking him as a promising contributor to robust, real-world robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2