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 ›› 2022, Vol. 47 ›› Issue (17): 81-84.DOI: 10.16638/j.cnki.1671-7988.2022.017.015

• 设计研究 • 上一篇    

基于机器视觉的试验间入口检测识别

熊兴旺 1，刘忠山 2，孙 田 1   

  1. 1.中汽研新能源汽车检验中心（天津）有限公司； 2.中汽科技（北京）有限公司
  • 出版日期:2022-09-15 发布日期:2022-09-15
  • 通讯作者: 熊兴旺
  • 作者简介:熊兴旺（1989—），男，硕士，工程师，研究方向为汽车及发动机测试与建模，E-mail:xiongxingwang@126.com。

Detection and Recognition of Test Cell Entrance Based on Machine Vision

XIONG Xingwang1, LIU Zhongshan2 , SUN Tian1   

  1. 1.CATARC New Energy Vehicle Test Center (Tianjin) Company Limited, Tianjin 300300, China; 2.China Auto Technology (Beijing) Company Limited
  • Online:2022-09-15 Published:2022-09-15
  • Contact: XIONG Xingwang

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摘要： 针对试验园区内叉车运送货物进试验间场景，提出一种基于机器视觉的试验间入口检 测识别方法，利用边缘检测和 Hough 直线检测算法，结合检测目标特点进行筛选优化，实现 了园区内试验间入口检测识别功能，对于开发智能叉车辅助系统有一定的工程意义。

关键词: 图像预处理；边缘检测；Hough 直线检测；机器视觉；目标直线斜率；目标直线长度

Abstract: Aimed at using forklift transporting goods into the test cell in the test park, a test cell entrance detection and recognition method based on machine vision is proposed. Using edge detection and Hough line detection algorithm, screening and optimization are carried out according to the characteristics of the detection targets. The function of detecting and recognizing test cell entrance is realized, which is of certain engineering value for the development of intelligent forklift auxiliary system.

Key words: Image preprocessing; Edge detection; Hough line detection; Machine vision; Slope of target line; Length of target line