Classification of Traffic Signs
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-57550-6_5
Reference47 articles.
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2. Aghdam HH, Heravi EJ, Puig D (2016a) A practical and highly optimized convolutional neural network for classifying traffic signs in real-time. Int J Comput Vis 1–24. doi: 10.1007/s11263-016-0955-9
3. Aghdam HH, Heravi EJ, Puig D (2016b) Analyzing the stability of convolutional neural networks against image degradation. In: Proceedings of the 11th international conference on computer vision theory and applications, vol 4(Visigrapp), pp 370–382. doi: 10.5220/0005720703700382
4. Aghdam HH, Heravi EJ, Puig D (2016c) Computer vision ECCV 2016. Workshops 9913:178–191. doi: 10.1007/978-3-319-46604-0
5. Baró X, Escalera S, Vitrià J, Pujol O, Radeva P (2009) Traffic sign recognition using evolutionary adaboost detection and forest-ECOC classification. IEEE Trans Intell Transp Syst 10(1):113–126. doi: 10.1109/TITS.2008.2011702
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