Abstract

With the development of intelligent transportation systems (ITS) and autonomous driving technologies, road traffic sign detection and recognition have become increasingly important in the fields of traffic safety, road management, and vehicle automation. Road traffic signs not only provide crucial information for drivers but also offer essential perception data for autonomous vehicles within intelligent transportation systems. This paper systematically reviews the current research progress in road traffic sign detection and recognition technology, analyzing the classification, visual features of signs, and the challenges faced in complex traffic environments. By comparing traditional image processing methods with advanced deep learning-based technologies, this paper discusses the advantages and disadvantages of sign detection and recognition in different application scenarios, and explores future technological development trends. Finally, the paper provides an outlook on the research directions in this field, aiming to provide theoretical support for future technological improvements and application promotion.

Keywords: 

road traffic signs, detection and recognition, deep learning, image processing, intelligent transportation systems, autonomous driving, technological challenges

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