Recognition of road signs in difficult weather conditions
https://doi.org/10.55648/1998-6920-2025-19-3-19-29
Abstract
The problem of detecting and recognizing road signs in difficult weather conditions is considered. An algorithm based on a combination of neural network models and possessing high accuracy and stability in recognizing images obtained in difficult weather conditions is proposed. The effectiveness of the algorithm was tested on a set of images overlapped by rain and snow. The experimental results showed a significant increase in the efficiency of the proposed algorithm compared to the algorithm that does not take into account the influence of the weather.
About the Authors
German Evgenievich Edel
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Postgraduate student of the Department of Television and Control, engineer of the Laboratory of Television and Automation (Department of Technical University).
Russian Federation
Postgraduate student of the Department of Television and Control, engineer of the Laboratory of Television and Automation (Department of Technical University).
Vyacheslav Valerievich Kapustin
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Associate Professor, Candidate of Technical Sciences, Head of the Television Automation Laboratory (Department of Technical University).
Russian Federation
Associate Professor, Candidate of Technical Sciences, Head of the Television Automation Laboratory (Department of Technical University).
Marina Evgenievna Sukutnova
Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Master's degree, engineer at the Television and Automation Laboratory, Tomsk State University of Control Systems and Radioelectronics
Russian Federation
Master's degree, engineer at the Television and Automation Laboratory, Tomsk State University of Control Systems and Radioelectronics
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Review
For citations:
Edel G.E., Kapustin V.V., Sukutnova M.E. Recognition of road signs in difficult weather conditions. The Herald of the Siberian State University of Telecommunications and Information Science. 2025;19(3):19-29. (In Russ.) https://doi.org/10.55648/1998-6920-2025-19-3-19-29
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