Traffic Sign Detection and Recognition for Intelligent Transportation Systems: A Survey

Abstract

With the development of intelligent transportation systems (ITSs), traffic sign detection and recognition methods play a vital role in unmanned vehicle driving (UVD) and traffic flow forecasting. However, due to the real-time and reliability features in traffic systems, each traffic sign should be handled in a specified interval to ensure the accuracy of the detection and recognition results. To this point, images captured by the vehicle’s image sensors recognize traffic signs on the road to help drivers correctly operate their vehicles and even drive themselves. In this research area, the first step is to locate the area of traffic signs as the detection range, and the second step is to recognize the types of traffic signs detected. This paper presents a survey of the research results of scholars over the years, analyses the research results and presents the findings in summarized categories. Then, the prospects of future research regarding intelligent system implementations for traffic sign detection and recognition are elaborated. We hope this summary will lead to a boom in more original research on our smart city.