Daisuke Fukuda
Papers
1
Total Citations
8
H-Index
1
About
Daisuke Fukuda is a researcher whose work lies at the intersection of computer vision and robotics, with a particular focus on 3D perception and range imaging. His key research areas include stereo vision, sensor fusion, and the development of robust depth estimation techniques using unconventional camera systems. Fukuda’s most notable contribution is a high-accuracy method for generating range images by fusing binocular and motion stereo measurements, specifically designed for fisheye stereo cameras. This work, published in 2020, addresses the inherent challenges of combining two stereo modalities with different characteristics—such as baseline limitations in binocular stereo—to produce more reliable and precise depth maps. With 8 citations, this paper demonstrates early impact in a specialized field. Fukuda’s approach is particularly valuable for applications in autonomous navigation and robotics, where accurate 3D sensing in wide-angle environments is critical. His research represents a thoughtful integration of multiple stereo techniques, pushing the boundaries of what is achievable with compact, wide-field-of-view camera systems.
Research Focus
Key Achievements
Top Papers
- 1