Rozpoznávání dopravních značek pro řízení modelu auta

Abstract

This master's thesis deals with detection and recognition of traffic signs in the image. The aim of the thesis was to design a program for real-time identification of model traffic signs. The program should be designed for an embedded device on ARM based platform. The first part of the thesis will describe the ways in which traffic signs can be detected and the algorithms used for this purpose. Further, will be described the classifier used for the classification of traffic signs. In the next part I will deal with the implementation of the program and the algorithms used. Finally, the results that have been achieved will be evaluated.

Description

Subject(s)

Traffic signs, detection, Canny edge detector, Support Vector Machines, OpenCV, Raspberry Pi

Citation