Papers
9
Total Citations
46
H-Index
4
About
Alex M. Kaneko’s research bridges two critical fields: humanitarian demining and autonomous robotics, with a focus on computer vision and depth estimation. His most impactful work, “Landmine buried depth estimation by curve characterization of metal mine detector signals” (13 citations), addresses the urgent need for safer, faster demining by developing discrimination methods to distinguish real mines from metal fragments—a key step toward automating the dangerous manual clearance process. Kaneko’s contributions extend to the Gryphon demining robot, where he pioneered vision techniques and optimization methods (6 citations) and developed an automatic landmine detection and marking system (4 citations), enhancing operator safety and efficiency. In robotics, his novel “Stata Center Frame” assumption for self-localization (2 citations) offers a new geometric framework for map matching. Kaneko also advanced monocular depth estimation, proposing optic-flow-weighted fusion (6 citations) and flat surface constraints (4 citations) to improve depth accuracy for autonomous vehicles. His work on in-field self-calibration of robotic manipulators (5 citations) and terrain mapping under extreme light (3 citations) further demonstrates his commitment to practical, real-world solutions. With a career focused on saving lives through technology, Kaneko’s research has laid groundwork for safer demining operations and more capable autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2Two-View Monocular Depth Estimation by Optic-Flow-Weighted Fusion6 citations · 2019
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- 9Stata Center Frame: A Novel World Assumption for Self-Localization2 citations · 2019