P. G. Jimenez, S. Lafuente-arroyo, H. Gomez-moreno, F. Lopez-ferreras, and S. Maldonado-bascon, Traffic sign shape classification evaluation, part II, FFT applied to the signature of blobs, Intelligent Vehicles Symposium, 2005, Proceedings, IEEE, IEEE, pp.607-612, 2005.

C. Fang, S. Chen, and C. Fuh, Road-sign detection and tracking, IEEE Transactions on Vehicular Technology, vol.52, issue.5, pp.1329-1341, 2003.
DOI : 10.1109/TVT.2003.810999

A. Ruta, Y. Li, and X. Liu, Real-time traffic sign recognition from video by class-specific discriminative features, Pattern Recognition, vol.43, issue.1, pp.416-430, 2010.
DOI : 10.1016/j.patcog.2009.05.018

S. M. Bascon, S. Lafuente-arroyo, P. Gil-jimenez, H. Gomez-moreno, and F. Lopez-ferreras, Road-Sign Detection and Recognition Based on Support Vector Machines, IEEE Transactions on Intelligent Transportation Systems, vol.8, issue.2, pp.264-278, 2007.
DOI : 10.1109/TITS.2007.895311

W. Kuo and C. Lin, Two-Stage Road Sign Detection and Recognition, Multimedia and Expo, 2007 IEEE International Conference on, pp.1427-1430, 2007.
DOI : 10.1109/ICME.2007.4284928

A. De-la-escalera, L. Moreno, M. Salichs, and J. , Road traffic sign detection and classification, IEEE Transactions on Industrial Electronics, vol.44, issue.6, pp.848-859, 1997.
DOI : 10.1109/41.649946

U. Franke, D. Gavrila, S. Görzig, F. Lindner, F. Paetzold et al., Autonomous driving approaches downtown, IEEE Intelligent Systems, vol.13, issue.6, pp.1-14, 1999.
DOI : 10.1109/5254.736001

URL : http://www.gavrila.net/Publications/../intsys99.pdf

F. Moutarde, A. Bargeton, A. Herbin, and L. Chanussot, Robust on-vehicle real-time visual detection of American and European speed limit signs, with a modular Traffic Signs Recognition system, 2007 IEEE Intelligent Vehicles Symposium, pp.1122-1126, 2007.
DOI : 10.1109/IVS.2007.4290268

URL : https://hal.archives-ouvertes.fr/hal-00422588

A. Ruta, Y. Li, M. Uxbridge, F. Porikli, S. Watanabe et al., A new approach for in-vehicle camera traffic sign detection and recognition, Proceedings of the IAPR Conference on Machine Vision Applications, 2009.
DOI : 10.1007/s00138-009-0231-x

URL : http://www.merl.com/reports/docs/TR2009-081.pdf

N. Barnes, A. Zelinsky, and L. Fletcher, Real-Time Speed Sign Detection Using the Radial Symmetry Detector, IEEE Transactions on Intelligent Transportation Systems, vol.9, issue.2, pp.322-332, 2008.
DOI : 10.1109/TITS.2008.922935

X. Gao, L. Podladchikova, D. Shaposhnikov, K. Hong, and N. Shevtsova, Recognition of traffic signs based on their colour and shape features extracted using human vision models, Journal of Visual Communication and Image Representation, vol.17, issue.4, pp.675-685, 2006.
DOI : 10.1016/j.jvcir.2005.10.003

URL : http://nisms.krinc.ru/papers/jvci2006.pdf

B. Alefs, G. Eschemann, H. Ramoser, and C. Beleznai, Road Sign Detection from Edge Orientation Histograms, 2007 IEEE Intelligent Vehicles Symposium, pp.993-998, 2007.
DOI : 10.1109/IVS.2007.4290246

Y. Xie, L. Liu, C. Li, and Y. Qu, Unifying visual saliency with HOG feature learning for traffic sign detection, in: Intelligent Vehicles Symposium, pp.24-29, 2009.

X. Qingsong, S. Juan, and L. Tiantian, A detection and recognition method for prohibition traffic signs, 2010 International Conference on Image Analysis and Signal Processing, pp.583-586, 2010.
DOI : 10.1109/IASP.2010.5476048

I. Creusen, R. Wijnhoven, E. Herbschleb, and P. De-with, Color exploitation in hog-based traffic sign detection, 2010 IEEE International Conference on Image Processing, pp.2669-2672, 2010.
DOI : 10.1109/ICIP.2010.5651637

URL : https://pure.tue.nl/ws/files/3283178/Metis245392.pdf

X. Baró, S. Escalera, J. Vitrià, O. Pujol, and P. Radeva, Traffic Sign Recognition Using Evolutionary Adaboost Detection and Forest-ECOC Classification, IEEE Transactions on Intelligent Transportation Systems, vol.10, issue.1, pp.113-126, 2009.
DOI : 10.1109/TITS.2008.2011702

B. Hoferlin and K. Zimmermann, Towards reliable traffic sign recognition, 2009 IEEE Intelligent Vehicles Symposium, pp.324-329, 2009.
DOI : 10.1109/IVS.2009.5164298

Y. Nguwi and A. Kouzani, Detection and classification of road signs in natural environments, Neural Computing and Applications, vol.21, issue.9, pp.265-289, 2008.
DOI : 10.1007/s00521-007-0120-z

A. Bargeton, F. Moutarde, F. Nashashibi, and B. Bradai, Improving pan-European speed-limit signs recognition with a new “global number segmentation” before digit recognition, 2008 IEEE Intelligent Vehicles Symposium, 2008.
DOI : 10.1109/IVS.2008.4621168

K. Lim-jr, K. Seng-jr, and L. Ang-jr, Intra color-shape classification for traffic sign recognition, 2010 International Computer Symposium (ICS2010), pp.642-647, 2010.
DOI : 10.1109/COMPSYM.2010.5685432

A. Kouzani, Road-Sign Identification Using Ensemble Learning, 2007 IEEE Intelligent Vehicles Symposium, pp.438-443, 2007.
DOI : 10.1109/IVS.2007.4290154

J. Beis and D. Lowe, Shape indexing using approximate nearest-neighbour search in high-dimensional spaces, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.1000-1006, 1997.
DOI : 10.1109/CVPR.1997.609451

URL : http://www.cs.utexas.edu/~grauman/courses/spring2007/395T/papers/beis97shape.pdf

F. Zaklouta and B. Stanciulescu, Real-time traffic sign recognition in three stages, Robotics and Autonomous Systems, vol.62, issue.1, pp.16-24, 2014.
DOI : 10.1016/j.robot.2012.07.019

J. Stallkamp, M. Schlipsing, J. Salmen, and C. , The German Traffic Sign Recognition Benchmark: A multi-class classification competition, The 2011 International Joint Conference on Neural Networks, 2011.
DOI : 10.1109/IJCNN.2011.6033395

URL : http://www.ini.rub.de/data/documents/stallkampetal_gtsrb_ijcnn2011.pdf

A. Ruta, F. Porikli, S. Watanabe, and Y. Li, In-vehicle camera traffic sign detection and recognition, Machine Vision and Applications, pp.1-17, 2011.
DOI : 10.1115/1.3662552

URL : http://www.merl.com/reports/docs/TR2009-081.pdf

F. Zaklouta and B. Stanciulescu, Warning traffic sign recognition using a HOG-based K-d tree, 2011 IEEE Intelligent Vehicles Symposium (IV), 2011.
DOI : 10.1109/IVS.2011.5940454

F. Zaklouta and B. Stanciulescu, Real-time traffic sign recognition using spatially weighted HOG trees, 2011 15th International Conference on Advanced Robotics (ICAR), 2011.
DOI : 10.1109/ICAR.2011.6088571

F. Zaklouta, B. Stanciulescu, and O. Hadmoun, Traffic sign classification using kd trees and random forests, International Joint Conference on Neural Networks, 2011.
DOI : 10.1109/ijcnn.2011.6033494

D. Ciresan, U. Meier, J. Masci, and J. Schmidhuber, A committee of neural networks for traffic sign classification, The 2011 International Joint Conference on Neural Networks, 2011.
DOI : 10.1109/IJCNN.2011.6033458

URL : http://www.idsia.ch/~juergen/ijcnn2011.pdf

P. Sermanet and Y. Lecun, Traffic sign recognition with multi-scale Convolutional Networks, The 2011 International Joint Conference on Neural Networks, 2011.
DOI : 10.1109/IJCNN.2011.6033589

URL : http://yann.lecun.com/exdb/publis/pdf/sermanet-ijcnn-11.pdf

L. Breiman, Random Forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001.
DOI : 10.1023/A:1010933404324

T. Ho, Random decision forests, IEEE Computer Society, p.278, 1995.

S. Shalev-shwartz, Y. Singer, and N. Srebro, Pegasos, Proceedings of the 24th international conference on Machine learning, ICML '07, pp.807-814, 2007.
DOI : 10.1145/1273496.1273598