| 注册
首页|期刊导航|工程设计学报|基于双目视觉的掘进装备定位系统移站自主标定方法

基于双目视觉的掘进装备定位系统移站自主标定方法

张旭辉 杨骏豪 杨文娟 张超 陈鑫 万继成 刘彦徽 王悦

工程设计学报2025,Vol.32Issue(1):1-10,10.
工程设计学报2025,Vol.32Issue(1):1-10,10.DOI:10.3785/j.issn.1006-754X.2025.04.111

基于双目视觉的掘进装备定位系统移站自主标定方法

Automatic calibration method for station transfer in tunneling equipment positioning system based on binocular vision

张旭辉 1杨骏豪 2杨文娟 1张超 2陈鑫 2万继成 2刘彦徽 2王悦2

作者信息

  • 1. 西安科技大学 机械工程学院,陕西 西安 710054||陕西省矿山机电装备智能检测与控制重点实验室,陕西 西安 710054
  • 2. 西安科技大学 机械工程学院,陕西 西安 710054
  • 折叠

摘要

Abstract

Stable and continuous visual posture measurement data is of great significance for improving the work efficiency of coal-mine tunneling equipment.Currently,posture measurement methods for tunneling equipment based on visual information face issues such as cumbersome calibration process of cooperative target during station transfer and inability to perform automatic continuous measurements.Aiming at this problem,an automatic calibration method for station transfer based on binocular vision is proposed.Firstly,the HSV(hue,saturation,value)color segmentation and point-line feature extraction technology were employed to process the red features of the cooperative target,so as to obtain the image information of the cooperative target.Then,a calibration solution model for station transfer was designed,and the binocular vision measurement method was used to obtain the spatial parameters of the cooperative target.Finally,based on the characteristic that the relative position between the camera and the cooperative target was unchanged during the calibration process,the L-M(Levenberg-Marquardt)algorithm was used to optimize the spatial parameters of the cooperative target,and the optimization results were applied to the visual positioning system to complete the calibration for station transfer.The experimental results showed that the position measurement error of the tunneling equipment body after the calibration for station transfer was within 50 mm,and the attitude angle measurement error was within 0.6°.The proposed automatic calibration method for station transfer based on binocular vision meets the accuracy requirements of the visual positioning system for coal-mine tunneling equipment,which can provide theoretical support for the research of rapid tunneling technology.

关键词

视觉测量/自主标定/合作标靶/特征提取/解算模型

Key words

visual measurement/automatic calibration/cooperation target/feature extraction/solution model

分类

矿业与冶金

引用本文复制引用

张旭辉,杨骏豪,杨文娟,张超,陈鑫,万继成,刘彦徽,王悦..基于双目视觉的掘进装备定位系统移站自主标定方法[J].工程设计学报,2025,32(1):1-10,10.

基金项目

国家自然科学基金青年项目(52174150,52104166) (52174150,52104166)

陕煤联合基金项目(2021JLM-03) (2021JLM-03)

工程设计学报

OA北大核心

1006-754X

访问量2
|
下载量0
段落导航相关论文