[1]   J. Urry, “The ‘System’ of Automobility,” Theory, Culture & Society, Vol. 21, No. 4-5, 2004, pp. 25-39. doi:10.1177/0263276404046059

[2]   E. Eckermann, “World History of the Automobile,” Society of Automotive Engineers, Warrendale, 2001.doi:10.4271/R-272

[3]   “Transportation: Motor Vehicle Accidents and Fatalities,” The 2012 Statistical Abstract, US Census Bureau, Suitland, 2011.

[4]   “Population,” The 2012 Statistical Abstract, US Census Bureau, Suitland, 2011.

[5]   “EuroFOT Study Demonstrates How Driver Assistance Systems Can Increase Safety and Fuel Efficiency,” EuroFOT,2012.http://www.eurofot- ip.eu/en/news_and_events/eurofot_study_ demonstrates_how_driver_assistance_systems_can_increase_safety_and_fuel_efficiency_acr.htm

[6]   M. Meuter, C. Nunn, S. M. Gormer, S. Muller-Schneiders and A. A. Kummert, “A Decision Fusion and Reasoning Module for a Traffic Sign Recognition System,” IEEE Transactions on Intelligent Transportation Systems, Vol. 12, No. 4, 2011, pp. 1126-1134. doi:10.1109/TITS.2011.2157497

[7]   C. Lai, “An Efficient Real-Time Traffic Sign Recognition System for Intelligent Vehicles with Smart Phones,” Proceedings of 2010 International Conference on Technologies and Applications of Artificial Intelligence,Hsinchu, 18-20 November 2010, pp. 195-202.doi:10.1109/TAAI.2010.41

[8]   V. Andrey, “Automatic Detection and Recognition of Traffic Signs Using Geometric Structure Analysis," Proceedings of SICE-ICASE International Joint Conference, Busan, 18-21 October 2006, pp. 1451-1456. doi:10.1109/SICE.2006.315823

[9]   D. Soendoro and I. Supriana, “Traffic Sign Recognition with Color-Based Method Shape-Arc Estimation and SVM,”Proceedings of 2011 International Conference on Electrical Engineering and Informatics, Bandung, 17-19 July 2011, pp. 1-6. doi:10.1109/ICEEI.2011.6021584

[10]   Y. Liu, H. Yu, H. Yuan and H. Zhao, “Real-Time Speed Limit Sign Detection and Recognition from Image Sequences,” Proceedings of 2010 International Conference on Artificial Intelligence and Computational Intelligence, Shenyang, 23-24 October 2010, pp. 262-267.doi:10.1109/AICI.2010.62

[11]   R. Kastner, T. Michalke, T. Burbach, J. Fritsch and C. Goerick, “Attention-based Traffic Sign
Recognition with an Array of Weak Classifiers,”
Proceedings of 2010 IEEE Intelligent Vehicles Symposium, San Diego, 21-24 June 2010, pp. 333-339.
doi:10.1109/IVS.2010.5548143

[12]   M. A. Souki, L. Boussaid and M. Abid, “An Embedded System for Real-Time Traffic
Sign Recognizing,” 3rd International Design and Test Workshop, IDT 2008, Monastir, 20-22 December 2008, pp. 273-276.

[13]   M. Muller, A. Braun, J. Gerlach, W. Rosenstiel, D. Nienhuser, J. M. Zollner and O. Bringmann, “Design of an Automotive Traffic Sign Recognition System Targeting a Multi-Core SoC Implementation,” Design,Automation & Test in Europe Conference and Exhibition (DATE), Dresden, 8-12 March 2010, pp. 532-537.

[14]   H. Irmak, “Real Time Traffic Sign Recognition System on FPGAs,” M.S. Thesis, Middle East Technical University, Ankara, 2010.

[15]   Frost & Sullivan, “Development of Low-cost DAS Technologies to Help Reach European Union’s
Target to Increase Road and Driver Safety,” 2011.
http://www.frost.com/prod/servlet/press-release.pag?docid=251082001

[16]   Continental AG, “MFC 2 Multi-Function Camera,” Datasheet, 2009. http://www.conti-online.com/generator/www/de/en/continental/industrial_sensors/themes/mfc_2/mfc_2_en.html

[17]   Continental AG, “Traffic Sign Recognition,” 2012.
http://www.conti-online.com/generator/www/de/en/continental/automotive/general/chassis/safety/hidden/verkehrszei chenerkennung_en.html

[18]   J. Markoff, “Smarter than You Think: Google Car Drives Itself,” The New York Times, October 2010. http://www.nytimes.com/2010/10/10/science/10google.html?_r=1

[19]   A. C. Clark and E. N. Wiebe, “Color Principles—Hue, Saturation and Value,”
North Carolina State University, Raleigh, 2002.
http://www.ncsu.edu/scivis/lessons/colormodels/color_models2.html

[20]   D. M. Rouse and S. S. Hemami, “Quantifying the Use of Structure in Cognitive Tasks,”
Proceedings of SPIE, Vol. 6492, Human Vision and Electronic Imaging XII, 649210, San Jose, 12 February 2007.doi:10.1117/12.707539

[21]   J. P. Serra, “Image Analysis and Mathematical Morphology,” Academic Press, Inc., Orlando, 1983.

[22]   D. G. Bailey, “Design for Embedded Image Processing on FPGAs,” Wiley-IEEE Press, Singapore, 2011.
doi:10.1002/9780470828519

[23]   S. Mignot, “A Hardware-Oriented Connected-Component Labeling Algorithm,” Technical Report,
GEPI—Observatoire de Paris, Paris, 2006.

[24]   J. Chen, M. K. Leung and Y. Gao, “Noisy Logo Recognition Using Line Segment Hausdorff Distance,”
Pattern Recognition, Vol. 36, No. 4, 2003, pp. 943-955.
doi:10.1016/S0031-3203(02)00128-0

[25]   E. Baudrier, F. Nicolier, G. Millon and S. Ruan, “BinaryImage Comparison with Local-Dissimilarity
Quantification,” Pattern Recognition, Vol. 41, No. 5, 2008, pp. 14611478.
doi:10.1016/j.patcog.2007.07.011

[26]   C. Y. Fang, S. W. Chen and C. S. Fuh, “Road-Sign Detection and Tracking,” IEEE Transactions on
Vehicular Technology, Vol. 52, No. 5, 2003, pp. 1329-1341.
doi:10.1109/TVT.2003.810999

[27]   M. F. Hashim, P. Saad, M. R. M. Juhari and S. N. Yaakob, “A Face Recognition System Using
Template Matching And Neural Network Classifier,”
Proceedings of 1st International Workshop on Artificial Life
and Robotics, Kangar, May 2005, pp. 1-6.

[28]   H. Bay, A. Ess, T. Tuytelaars and L. Van Gool, “SpeededUp Robust Features (SURF),”
Computer Vision and Image Understanding, Vol. 110, No. 3, 2008, pp. 346-359.
doi:10.1016/j.cviu.2007.09.014

[29]   “Embedded System Tools Reference Manual EDK (v 13.2),” Xilinx, 2011. http://www.xilinx.com/support/documentation/sw_manuals/xilinx13_2/est_rm.pdf