The paper describes two different ways of recognizing the road signs that can be applied to the autonomous driver assistance systems. It provides the road sign content and analysis of implemented algorithms, in order to apply them in such systems, resulting in the extension of their functionalities. The mobile application implemented as part of performed experiments, works using the real-time data. The application has been tested practically - the smartphone placed in a car was registering and analyzing the road signs. The paper describes the possibilities of practical use of a mobile device in combination with a real-time data processing program for the detection and recognition of selected road signs. The theoretical part discusses some important automotive topics and selected methods for road signs analysis. As part of practical section, two different methods of road sign recognition, have been implemented and analyzed. The application has been studied and made for iOS system. The OpenCV library has been additionally used. Also, the possibilities of development and optimization of selected algorithms have been shown.
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