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Experiments with teaching of recognition methods for road signs with the use of synthetic data
Engineering Education # 08, August 2013
DOI: 10.7463/0813.0603378
This article considers the task of traffic sign recognition with learning from synthetic data. The method for synthetic dataset generation from one traffic signs pictogram for each class was described. The authors proposed a method for traffic signs segmentation and classification; the method is based on the nearest neighbor search in the space of gradient features derived from synthetic data. The proposed method was evaluated on databases from three different countries – Germany, Belgium and Sweden. A comparative analysis of classification accuracy of the proposed method with training from synthetic and real data was carried out.
 
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