Papers

4

Total Citations

22

H-Index

3

About

Toshihide Hanari is a leading researcher in robotics for nuclear decommissioning, specializing in 3D reconstruction, autonomous navigation, and remote inspection technologies. His work is critical for enabling safe, efficient exploration of hazardous environments like the Fukushima Daiichi Nuclear Power Station and Sellafield. Hanari’s major contributions include developing an image selection method that uses optical flow analysis to optimize 3D reconstruction from image sequences, reducing computational load while maintaining accuracy—a key advance for field robotics with limited processing power. He also pioneered fast in-situ mesh generation by integrating ORB-SLAM2 with OpenMVS, allowing robots to build real-time 3D models during exploration. His most cited work (9 citations) on image selection for 3D reconstruction has become a foundational reference for efficient environmental mapping. Additionally, Hanari led the development of the "Rail DRAGON," a long-reach, bendable modular rail system that enables continuous observation inside primary containment vessels, significantly reducing remote control errors. His research at the Naraha Remote Technology Development Center has directly supported test facility enhancements for nuclear decommissioning, demonstrating how robotic perception and structural design can overcome extreme operational constraints.

Research Focus

Key Achievements

3
H-Index
4
Papers
22
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Image Selection Method from Image Sequence to Improve Computational Efficiency of 3D Reconstruction: Analysis of Inter-image Displacement Based on Optical Flow for Evaluating 3D Reconstruction Performance
9 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Japan Atomic Energy Agency, Nuclear Decommissioning Authority

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago