A review of YOLO-based traffic sign target detection

YOLO (You Only Look Once) as an efficient target detection algorithm has significant advantages in the field of image recognition and traffic sign detection. The continuous development of autonomous driving technology needs to be supported by an algorithm that can quickly and accurately identify traffic signs, vehicles, pedestrians and other important objects on the road. By using the YOLO algorithm, we can achieve fast and accurate recognition of traffic signs, which is of great significance for improving the safety of autonomous driving technology. This study firstly introduces the general framework of YOLO series algorithms, including the network structure, introduces the development history of YOLO series and analyses the characteristics of each generation of algorithms, then discusses the application of YOLO algorithms in the field of traffic sign recognition, and finally summarizes the existing problems and puts forward a few points of possible optimization directions in the future.