Shinya Sumikura

Papers

Total Citations

292

H-Index

About

Shinya Sumikura is a leading researcher in computer vision and robotics, best known for his foundational contributions to visual simultaneous localization and mapping (VSLAM). His landmark work, "OpenVSLAM" (2019), which has garnered 284 citations, introduced a highly usable and extensible visual SLAM framework. This framework addressed a critical gap in the field: while VSLAM systems are essential for augmented reality devices, autonomous robots, and drones, existing open-source frameworks were not designed to be easily called as libraries from third-party programs. Sumikura’s solution provided a robust, modular architecture that significantly improved accessibility and integration for developers and researchers. His work has enabled more efficient deployment of VSLAM in real-world applications, from AR to autonomous navigation. Additionally, Sumikura has explored scale estimation in monocular structure from motion (SfM) for multi-modal stereo cameras, further advancing 3D perception. Through his innovative and practical contributions, Sumikura has become a key figure in democratizing VSLAM technology, empowering a new generation of researchers and engineers to build upon his open-source platform.