Kirill Muraviev

Papers

Total Citations

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About

Kirill Muraviev is a researcher in computer vision and robotics, with a primary focus on vision-based Simultaneous Localization and Mapping (vSLAM). His most cited work, "Assessment of Map Construction in vSLAM" (2021, 6 citations), provides a critical evaluation of how vSLAM systems build and maintain three-dimensional maps of unknown environments in real-time—a fundamental challenge for mobile robotics. This contribution helps bridge the gap between theoretical vSLAM algorithms and practical deployment, offering insights into map quality and consistency that are essential for autonomous navigation. While his citation count is modest, the work addresses a core bottleneck in the field: ensuring that spatial representations are both accurate and computationally efficient. Muraviev’s research is particularly valuable for students and engineers developing autonomous systems, as it highlights the trade-offs between localization precision and mapping fidelity. His assessment serves as a practical guide for selecting and optimizing vSLAM pipelines, making him a thoughtful contributor to the ongoing evolution of real-time 3D mapping technologies.