A SURVEY ON TRAFFIC SIGN RECOGNITION AND DETECTION

Abstract

Classifying traffic signs is an indispensable task for autonomous driving systems. Depending on the country, traffic signs possess a wide variability in their visual appearance making it harder for classification systems to succeed. Either the classifier should be fine-tuned or a bigger collection of images should be used. Nowadays, Intelligent Autonomous Vehicles together with Advanced Driver Assistance Systems (ADAS) deal with the problem of traffic sign recognition. It is a challenging real world computer vision problem due to the different and complex scenarios they are placed into. After images are classified they are made into the groups like highway signs, speed signs, danger signs etc.