Traffic signs detection using blob analysis and pattern recognition

Computer vision has been increasingly used as a tool for orientation of machines in unknown areas. This paper deals with the challenge of perceiving traffic signs for autonomous driving. It is concerned with the competition of fully autonomous robots that takes place in a track with the shape of a traffic road. A specific set of signs has been addressed and solved with very good results. A combination of two techniques based on blob analysis and pattern recognition has been used and selected results of the experiments are presented along with the description of the main algorithms. Introduction also contains a brief research of work that has been already published in this area of engineering.