测绘通报 ›› 2023, Vol. 0 ›› Issue (3): 27-32.doi: 10.13474/j.cnki.11-2246.2023.0067

• 学术研究 • 上一篇    下一篇

AprilTag图像识别应用于高差传递测量方法研究

曹泽强1, 孙英惠2, 洪琼3, 陈文宇3, 周立3   

  1. 1. 江苏省矿业工程集团有限公司, 江苏 徐州 221000;
    2. 江苏师范大学附属实验学校, 江苏 徐州 221000;
    3. 江苏海洋大学海洋技术与测绘学院, 江苏 连云港 222000
  • 收稿日期:2022-04-06 发布日期:2023-04-04
  • 通讯作者: 周立。E-mail:18352807750@163.com
  • 作者简介:曹泽强(1996-),男,硕士生,主要研究方向为智能工程测量机器人。E-mail:15190665306@163.com
  • 基金资助:
    国家重点研发计划“海洋环境安全保障”重点专项(2018YFC1405702);海岸带地理环境监测国家测绘地理信息局重点试验室开放基金(BE2017125);连云港国际科技合作计划项目(HZ201907);江苏省研究生科研创新计划(SJCX20_1245)

AprilTag image identification application to high distance transfer measurement method

CAO Zeqiang1, SUN Yinghui2, HONG Qiong3, CHEN Wenyu3, ZHOU Li3   

  1. 1. Jiangsu Mining Engineering Group Co., Ltd., Xuzhou 221000, China;
    2. Experimental School Affiliated to Jiangsu Normal University, Xuzhou 221000, China;
    3. College of Marine Technology and Surveying and Mapping, Jiangsu Ocean University, Lianyungang 222000, China
  • Received:2022-04-06 Published:2023-04-04

摘要: 为促进计算机视觉及智能机器人技术等在传统高差测量中的应用,本文提出一种非接触式的应用AprilTag图像识别技术的高差传递测量方法。首先以Robomaster EP机器人作为高差测量平台,分别在已知点和待测点位放置AprilTag标签,机器人相机分别识别两侧AprilTag标签并进行相对位姿解算,得到两侧标签中心相对于机器人相机中心的三维坐标差。然后发挥机器人相机旋转中心的高差传递作用,计算得到待测点相对于已知点的高差。通过多组试验分别研究机器人相机的俯仰角α、航向角β的变化对高差传递测量精度的影响。试验结果表明,当机器人相机的俯仰角α∈(-2.9°,3.9°]时,或航向角β∈[-5.5°,1°]时,AprilTag图像识别的综合误差E<0.4,识别效果较好,两点间高差误差px小于5 mm,高差传递测量的精度可达毫米级。试验结果表明,使用计算机视觉及智能机器人等技术进行高差测量具有一定可行性,为未来测绘行业研发新型智能测量机器人提供一定理论依据和技术探索。

关键词: 计算机视觉, AprilTag图像识别, 相对位姿解算, 智能机器人, 高差传递测量

Abstract: To facilitate computer vision and the application of intelligent robotics in traditional high difference measurements, a high differential transmission measurement method for non-contact application AprilTAG image recognition technology is proposed. As the Robomaster EP robot, the AprilTag label is placed in a known point and the standby point, and the robot camera identifies the AprilTag label on both sides and performs relative position. The three-dimensional sitting is followed, and then the high difference of the rotation center of the robot camera is calculated to be calculated to obtain a high difference from the known point relative to the known point. Through multi-group experiments, the effect of the pitch angle α of the robot camera is studied, and the change of the change of the torch β on the measurement accuracy of the high difference transmission. The experimental results show that when the tension of the robot camera is pitch angle α∈(-2.9°,3.9°], or when the head is angle β∈[-5.5°,1°], AprilTag image recognition is E<0.4, the recognition effect is better, and the two-point high difference error px is less than 5 mm, and the accuracy of the high difference transmission measurement can reach millimeters. The above experimental results show that the use of computer vision and intelligent robots have certain feasibility, providing a certain theoretical basis and technical exploration for the R & D industry to develop new intelligent measurement robots in the future surveying industry.

Key words: computer vision, AprilTag image recognition, relative position decisions, intelligent robots, high difference transmission measurement

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