Daiki Kitayama

Papers

Total Citations

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About

Daiki Kitayama is a researcher in autonomous robotics and computer vision, with a focus on 3D environmental perception and self-localization for mobile systems. His work centers on developing robust methods for spatial mapping and navigation, particularly through the integration of stereo vision and structure-from-motion techniques. In his most-cited paper, "3D Map Construction Based on Structure from Motion Using Stereo Vision" (2015), Kitayama proposed a novel approach that combines parallax-based triangulation with SfM to simultaneously construct dense 3D maps and estimate the robot's self-position. This contribution addresses a critical challenge in autonomous navigation—achieving accurate, real-time spatial awareness without relying on external positioning systems. While his citation count is modest, his work represents a foundational step in low-cost, vision-based mapping for mobile robots. Kitayama’s research is particularly relevant for applications in field robotics and indoor autonomous systems, where reliable 3D reconstruction from visual data is essential. His approach offers a practical pathway for integrating stereo vision into real-world robotic platforms.