Dinar Sharafutdinov

Skolkovo Institute of Science and Technology

Papers

Total Citations

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About

Dinar Sharafutdinov is a researcher whose work sits at the intersection of robotics, computer vision, and autonomous navigation, with a primary focus on Visual Simultaneous Localization and Mapping (SLAM). His major contribution lies in rigorously benchmarking and comparing modern open-source Visual SLAM approaches, providing the research community with a critical, practical evaluation of state-of-the-art algorithms. His most cited paper, "Comparison of modern open-source Visual SLAM approaches" (2023), has garnered 46 citations, reflecting its value as a go-to resource for practitioners and researchers seeking to understand the trade-offs in accuracy, stability, and usability among available solutions. Sharafutdinov’s work addresses a key challenge: while SLAM has advanced significantly, not all high-performing methods are freely accessible. By systematically analyzing open-source options, he helps democratize access to cutting-edge navigation technology, enabling broader experimentation and application in robotics. His research is particularly impactful for students and engineers entering the field, offering a clear roadmap through a complex landscape. Through his focused, comparative studies, Sharafutdinov has established himself as a vital contributor to making SLAM more transparent, accessible, and practically deployable.