Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (16): 65-73.DOI: 10.3778/j.issn.1002-8331.2103-0380

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Survey of Traffic Sign Detection and Recognition Methods in Complex Environment

CHEN Fei, LIU Yunpeng, LI Siyuan   

  1. Zhejiang Wanli University, Ningbo, Zhejiang 315100, China
  • Online:2021-08-15 Published:2021-08-16



  1. 浙江万里学院,浙江 宁波 315100


Traffic sign detection and recognition is one of the research hotspots of environment perception in three major modules of unmanned driving. Detection and recognition of traffic signs can transmit road traffic information to unmanned vehicles and optimize driving decisions. In complex environments such as heavy rain, heavy fog and low light, the captured images are often blocked and blurred. This not only affects the quality of the image, but also brings huge difficulties to the detection and recognition of the later signs. Therefore, this paper descripes briefly the traffic sign detection and recognition methods, and summarizes the methods, principles and steps of domestic and foreign scholars in recent years to solve traffic sign detection and recognition in various complex environments, which are conducive to better solve such problems latter. At the same time, the commonly used traffic sign data set is summarized, and the proportion of images taken in the complex environment in the data set is explained.

Key words: traffic sign detection and recognition, complex environment, traffic sign data set



关键词: 交通标志检测与识别, 复杂环境, 交通标志数据集