In this study, traffic signs are aimed to be recognized and identified from a video image which is taken through a video camera. To accomplish our aim, a traffic sign recognition program has been developed in MATLAB/Simulink environment. The target traffic sign are recognized in the video image with the developed program.

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Transportation Research Record: Journal of the Transportation Research Board, No. 2384, Transportation Research Board of the National Academies, Washington, D.C., 2013, pp. 74–84. DOI: 10.3141/2384-09 H. Ge and Y. Zhang, Zachry Department of Civil Engineering, Texas A&M University, 3136 TAMU, College Station, TX 77843-3136. J. D. Miles and P. J. Carlson, Texas A&M Transportation Institute, Texa...

In recent years, there have been significant advances in deep learning and road marking recognition due to machine artificial intelligence. Despite progress, it often relies heavily on unrepresentative datasets limited situations. Drivers advanced driver assistance systems rely markings help them better understand their environment the street. Road are signs texts painted surface, including dir...

This paper purposed a Traffic Sign Recognition (TSR) system which can automatically detect and classified the traffic signs in traffic scene images acquired from a moving car. First it uses color based segmentation and then further refines the segments using two shape detection based techniques. A color description technique is used to extract the sign information from the segmented part which ...

A fast method for the recognition and classification of informational traffic signs is presented in this paper. The aim is to provide an efficient framework which could be easily used in inventory and guidance systems. The process consists of several steps which include image segmentation, sign detection and reorientation, and finally traffic sign recognition. In a first stage, a static HSI col...