1. Stallkamp, J., Schlipsing, M., Salmen, J. Igel, C.: Man vs. computer: benchmarking machine learning algorithms for traffic sign recognition. Neural Netw. 32, 323–332 (2012)
2. Wong, S.C., Gatt, A., Stamatescu, V. McDonnel, M.D.: Understanding data augmentation for classification: when to warp? In: International Conference on Digital Image Computing: Techniques and Applications (DICTA), Gold Coast, QLD, Australia (2016)
3. Li, J., Zhang, C., Cao, Q., Qi, C., Huang, J., Xie, C.: An experimental study on deep learning based on different hardware configurations. In: International Conference on Networking, Architecture, and Storage (NAS), Shenzhen, China (2017)
4. Safat, B., Mohammad, A., Aini, H., Salina, A.: Comparative survey on traffic sign detection and recognition: a review. Przegląd Elektrotechniczny, R. 91(NR 12/2015) (2015)
5. Gokul, S., Suresh Kumar, S., Giriprasad, S.: Survey - an exploration of various techniques for sign detection in traffic panels. ARPN J. Eng. Appl. Sci. 10(9) (2015)