A robust system for road sign detection and classification using LeNet architecture based on convolutional neural network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-04307-6.pdf
Reference20 articles.
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2. Ardianto S, Chen C-J, Hang H-M (2017) Real-time traffic sign recognition using color segmentation and SVM. In: International conference on systems, signals and image processing (IWSSIP)
3. Berkaya SK, Gunduz H, Ozsen O, Akinlar C, Gunal S (2016) On circular traffic sign detection and recognition. Exp Syst Appl 48:67–75
4. Bouti A, Mahraz MA, Riffi J, Tairi H (2017) Robust system for road sign detection and recognition using template matching. In: Intelligent systems and computer vision (ISCV), Fez, Morocco
5. Brkić K, Šegvić S, Kalafatić Z, Sikirić I, Pinz A (2010) Generative modeling of spatio-temporal traffic sign trajectories. In: IEEE computer society conference on computer vision and pattern recognition workshops (CVPRW)
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