[1] Stewart B T, Yankson I K, Afukaar F et al. Road traffic and other unintentional injuries among travelers to developing countries[J]. Medical Clinics of North America, 100, 331-343(2016). http://www.ncbi.nlm.nih.gov/pubmed/26900117

[2] Zhang S F, Zhu T. A method of traffic sign detection and recognition based on HDR technology[J]. Laser & Optoelectronics Progress, 55, 091006(2018).

[3] Hu C P, Bai X, Qi L et al. Learning discriminative pattern for real-time car brand recognition[J]. IEEE Transactions on Intelligent Transportation Systems, 16, 3170-3181(2015). http://ieeexplore.ieee.org/document/7130646/

[4] Gao D D, Xu X T, Li B. Research on application of infrared and white light mixed supplemental lighting system in intelligent transportation[J]. Infrared and Laser Engineering, 47, 0918006(2018).

[5] Xu Y, Wei Z Y. An improved traffic sign image recognition algorithm[J]. Laser & Optoelectronics Progress, 54, 021001(2017).

[6] Fleyeh H, Davami E. Eigen-based traffic sign recognition[J]. IET Intelligent Transport Systems, 5, 190-196(2011). http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5873509

[7] Khan J F. Bhuiyan S M A, Adhami R R. Image segmentation and shape analysis for road-sign detection[J]. IEEE Transactions on Intelligent Transportation Systems, 12, 83-96(2011).

[8] Yang Y, Luo H L, Xu H R et al. Towards real-time traffic sign detection and classification. [C]∥Proceedings of 17 ^th International IEEE Conference on Intelligent Transportation Systems , 87-92(2014).

[9] Yang Y, Wu F C. Real-time traffic sign detection via color probability model and integral channel features. [C]∥Proceedings of Chinese Conference on Pattern Recognition, 545-554(2014).

[10] Liang M, Yuan M Y, Hu X L et al. Traffic sign detection by ROI extraction and histogram features-based recognition. [C]∥Proceedings of the 2013 International Joint Conference on Neural Networks, 1-8(2013).

[11] Wang G Y, Ren G H, Wu Z L et al. A hierarchical method for traffic sign classification with support vector machines. [C]∥Proceedings of the 2013 International Joint Conference on Neural Networks, 1-6(2013).

[12] Wang G Y, Jin Y S, Ren G H et al. High-performance VLSI architecture for traffic sign detection[J]. Infrared and Laser Engineering, 47, 0926001(2018).

[13] Belaroussi R, Tarel J P. Angle vertex and bisector geometric model for triangular road sign detection. [C]∥Proceedings of 2009 Workshop on Applications of Computer Vision, 1-7(2009).

[14] Belaroussi R, Tarel J P. A real-time road sign detection using bilateral Chinese transform. [C]∥Proceedings of International Symposium on Visual Computing, 1161-1170(2009).

[15] Houben S. A single targetvoting scheme for traffic sign detection. [C]∥Proceedings of 2011 IEEE Intelligent Vehicles Symposium, 124-129(2011).

[16] Mammeri A, Khiari E H, Boukerche A. Road-sign text recognition architecture for intelligent transportation systems. [C]∥Proceedings of 2014 IEEE 80 ^th Vehicular Technology Conference , 1-5(2014).

[17] Yin S Y, Ouyang P, Liu L B et al. Fast traffic sign recognition with a rotation invariant binary pattern based feature[J]. Sensors, 15, 2161-2180(2015). http://pubmedcentralcanada.ca/pmcc/articles/PMC4327121/

[18] Mathias M, Timofte R, Benenson R et al. Traffic sign recognition-how far are we from the solution. [C]∥Proceedings of the 2013 International Joint Conference on Neural Networks, 1-8(2013).

[19] Ruta A, Porikli F, Watanabe S et al. In-vehicle camera traffic sign detection and recognition[J]. Machine Vision and Applications, 22, 359-375(2011).

[20] He K M, Zhang X Y, Ren S Q et al. Spatial pyramid pooling in deep convolutional networks for visual recognition[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 37, 1904-1916(2015). http://www.sciencedirect.com/science/article/pii/S0031320315004252

[21] Girshick R. Fast R-CNN. [C]∥Proceedings of 2015 IEEE International Conference on Computer Vision, 1440-1448(2015).

[22] Uijlings J R R, Gevers T et al. . Selective search for object recognition[J]. International Journal of Computer Vision, 104, 154-171(2013). http://dl.acm.org/citation.cfm?id=2509382

[23] Ren S Q, He K M, Girshick R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39, 1137-1149(2017). http://www.tandfonline.com/servlet/linkout?suffix=CIT0014&dbid=8&doi=10.1080%2F2150704X.2018.1475770&key=27295650

[24] Zeiler M D, Fergus R. Visualizing and understanding convolutional networks. [C]∥Proceedings of European Conference on Computer Vision, 818-833(2014).

[25] Redmon J, Divvala S, Girshick R et al. You only look once: unified, real-time object detection. [C]∥Proceedings of 2016 IEEE Conference on Computer Vision and Pattern Recognition, 779-788(2016).

[26] Sun X D, Wu P C. Hoi S C H. Face detection using deep learning: an improved faster RCNN approach[J]. Neurocomputing, 299, 42-50(2018). http://www.sciencedirect.com/science/article/pii/S0925231218303229