智能城市2024，Vol.10Issue(3)：18-21,4.DOI:10.19301/j.cnki.zncs.2024.03.006
基于Yolov5的交通信号灯智能识别程序开发
Development of intelligent recognition program for traffic signal lamps based on Yolov5
郑国荣 1张尊栋 1赵文芊 1柏卓茁 1贾菲儿1
作者信息
- 1. 北方工业大学电气与控制工程学院,北京 100144
- 折叠
摘要
Abstract
Traffic signal detection is an important auxiliary technology for intelligent vehicles to identify traffic environment.Existing algorithms can solve the problem of signal detection in a single intersection environment,but it is necessary to improve the accuracy and interference reliability of the algorithm in the complex traffic environment of intersections.Based on the application of one-stage target detection algorithm Yolov5,this paper realizes the automatic detection and recognition of traffic lights in multiple scenes.Labeling is used to annotate pictures,the data set is enhanced by mirroring,cropping,reversing,etc.,and the parameter adjustment experiment and iterative model training are continuously carried out.The target detection accuracy reaches 80%.关键词
目标检测/Yolov5/Labeling图片标注/模型训练Key words
target detection/Yolov5/Labeling picture annotation/model training分类
信息技术与安全科学引用本文复制引用
郑国荣,张尊栋,赵文芊,柏卓茁,贾菲儿..基于Yolov5的交通信号灯智能识别程序开发[J].智能城市,2024,10(3):18-21,4.
