A hierarchical method for traffic sign classification with support vector machines

@article{Wang2013AHM,
  title={A hierarchical method for traffic sign classification with support vector machines},
  author={Gangyi Wang and Guanghui Ren and Zhilu Wu and Yaqin Zhao and Lihui Jiang},
  journal={The 2013 International Joint Conference on Neural Networks (IJCNN)},
  year={2013},
  pages={1-6}
}
Traffic sign classification is an important function for driver assistance systems. In this paper, we propose a hierarchical method for traffic sign classification. There are two hierarchies in the method: the first one classifies traffic signs into several super classes, while the second one further classifies the signs within their super classes and provides the final results. Two perspective adjustment methods are proposed and performed before the second hierarchy, which significantly… CONTINUE READING
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