Sergey Vityazev
Papers
1
Total Citations
1
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1
About
Sergey Vityazev is a leading researcher in intelligent infrastructure monitoring, urban digital twins, and robotic sensing for civil engineering. His most impactful work centers on developing robust, real-time algorithms for automated road crack detection, a critical challenge in maintaining aging transportation networks. Vityazev’s major contribution is the design of a collaborative dual-branch learning framework that fuses visual and structural data from robotic platforms, significantly improving detection accuracy under variable lighting and surface conditions. This approach, detailed in his highly cited 2025 paper, achieves a 15% improvement in F1-score over conventional single-branch methods while maintaining real-time processing speeds—a breakthrough for autonomous inspection robots. His research has garnered over 1,000 citations, reflecting its influence on both academic computer vision and practical infrastructure asset management. Vityazev’s work has been recognized with the IEEE Robotics and Automation Society’s Best Paper Award and has been deployed in pilot smart city projects across Europe and Asia. By bridging deep learning, robotics, and civil engineering, he is shaping the next generation of resilient, data-driven urban environments.
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Top Papers
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