主办：陕西省汽车工程学会
ISSN 1671-7988  CN 61-1394/TH
创刊：1976年
汽车实用技术

汽车实用技术 ›› 2021, Vol. 46 ›› Issue (15): 48-50.DOI: 10.16638/j.cnki.1671-7988.2021.015.013

• 智能网联汽车 • 上一篇    下一篇

基于机器视觉的车辆检测

杜学峰, 高越, 杨伟, 张勇   

  1. 长安大学 汽车学院,陕西 西安 710064
  • 出版日期:2021-08-15 发布日期:2021-08-20
  • 作者简介:杜学峰,长安大学汽车学院,研究方向：智能网联汽车及无人驾驶。

Vehicle Detection Based on Machine Vision

DU Xuefeng, GAO Yue, YANG Wei, ZHANG Yong   

  1. Chang'an University, College of Automobile, Shaanxi Xi'an 710064
  • Online:2021-08-15 Published:2021-08-20

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摘要： 自动驾驶技术中,障碍物的识别是其中很重要的一环。文章设计了一种基于OpenCV技术的本车前方车辆的识别系统,其采用了单目摄像机进行图像输入,使用计算机完成图像预处理,然后训练级联分类器以识别车辆,文章采用Adaboost算法进行训练[1]。将处理好的图像导入车辆分类器,即可完成对前方车辆的识别。经过实验,本系统具有良好的实时性和可靠性。

关键词: OpenCV, Adaboost算法, 自动驾驶, 车辆检测

Abstract: Obstle identification is a very important part in automatic driving technology. In this paper, a recognition system of the vehicle in front of the vehicle based on OpenCV technology is designed. The monocular camera is used for image input, the computer is used to complete image preprocessing, and then the cascade classifier is trained to identify the vehicle. In this paper, the Adaboost algorithm is used for training[1]. The processed image is imported into the vehicle classifier to complete the recognition of the vehicle in front.Through the experiment, the system has good real-time performance and reliability.

Key words: OpenCV, Adaboost algorithm, Automatic driving, Vehicle detection

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