Automated system of recognition of road signs for ADAS systems

International Scientific-technical Conference on Innovative Engineering Technologies, Equipment and Materials 2017

工业技术;机械制造;材料科学

Ziyatdinov, R.R.^1 ; Biktimirov, R.A.^1

Kazan Federal University, Naberezhnye Chelny Institute, Prospekt Syuyumbike 10A, Naberezhnye Chelny

423812, Russia^1

关键词: Automated systems;    Classification algorithm;    Classification methods;    Comparative analysis;    Environmental recognition;    K-nearest neighbors;    Management decisions;    Road signs recognition;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/412/1/012081/pdf
DOI  :  10.1088/1757-899X/412/1/012081

来源: IOP

【 摘 要 】

Advanced Driver Assistance Systems (ADAS) require an environmental recognition function to inform the driver and for making management decisions. To solve the problems of pattern recognition, it is necessary to use one of the image classification methods. To date, there are quite a few similar algorithms that differ in the quality and speed of recognition. This paper presents a comparative analysis of classification algorithms in the problems of road signs recognition based on the GTSRB dataset. The results of the work showed that the most promising methods of classification in the problems of image recognition are the methods of reference vectors and k - nearest neighbors.