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Algorithm enhances recognition efficiency of road signs in difficult weather conditions, suggesting significant improvements in safety.
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.
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Edel et al. (2025) studied this question.
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