Yoshiharu AMANO
Papers
10
Total Citations
175
H-Index
7
About
Yoshiharu Amano is a leading researcher in autonomous mobile robotics, with a focus on high-precision outdoor localization and navigation. His key research areas include 3D mapping, multisensor fusion, and GNSS positioning in challenging environments. Amano’s major contributions center on developing robust localization methods that integrate laser scanners, omnidirectional infrared cameras, and GPS/GLONASS with dead-reckoning systems. His seminal 2010 paper on 6-DOF localization using outdoor 3D voxel maps (47 citations) established a foundation for accurate robot pose estimation in complex outdoor settings. He pioneered multipath mitigation techniques using omnidirectional infrared cameras for tightly coupled GPS/INS integration, achieving high-accuracy positioning in urban and leafy environments—work that has garnered over 45 citations. Amano also contributed to the Tsukuba Challenge, a renowned autonomous navigation competition, demonstrating practical GNSS/DR navigation systems. His research on spatial temporal databases for mobile robot surveillance and 3D reconstruction using multibaseline motion stereo has advanced the field of environmental perception. With cumulative citations exceeding 175, Amano’s work continues to influence autonomous navigation, particularly in GPS-denied and cluttered urban spaces.
Research Focus
Key Achievements
Top Papers
- 16-DOF localization for a mobile robot using outdoor 3D voxel maps47 citations · 2010
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- 86-DOF Localization for a Mobile Robot Using Outdoor 3D Point Clouds7 citations · 2010
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- 10Development of a Jack-up Mobile Robot for Narrow Space : Bari-bari-I3 citations · 2004