Yoichi Fukuda

Kyoto University of Education, Kyoto University

Papers

Total Citations

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About

Yoichi Fukuda is a leading figure in computational geometry and geodetic positioning, renowned for developing algebraic solutions to complex spatial problems. His primary research areas include nonlinear distance (ranging) problems, robust algorithm acceleration, and surface reconstruction from laser-scanned point clouds. Fukuda’s most cited work, “Direct polynomial approach to nonlinear distance (ranging) problems” (2014, 15 citations), introduces a novel algebraic framework that directly solves distance-based equations in GPS atmospheric sounding, geodetic positioning, robotics, and photogrammetry—eliminating iterative approximations and enhancing accuracy. This contribution has practical implications for autonomous navigation and 3D mapping. In “Algebraic method to speed up robust algorithms: example of laser-scanned point clouds” (2016, 5 citations), he presents a technique to accelerate robust surface reconstruction, a fundamental task in geosciences, robotics, and digital building modeling. By replacing iterative processes with algebraic shortcuts, Fukuda’s work improves computational efficiency without sacrificing reliability. His achievements bridge pure mathematics and applied geoscience, offering elegant solutions to real-world sensing challenges. For students and researchers, Fukuda’s methods demonstrate how algebraic insight can transform practical problems in positioning, mapping, and spatial data analysis.