GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY

Y. Lopatin, Wilhelm Heger
{"title":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","authors":"Y. Lopatin, Wilhelm Heger","doi":"10.23939/istcgcap2021.93.005","DOIUrl":null,"url":null,"abstract":"The aim of the work is to develop an automated measuring system in a mechanical gyrocompass with the help of specially developed hardware and software in order to facilitate the operation of the device and minimize observer errors. The developed complex provides automation only for the time method, as for the method of the turning point it is necessary to constantly contact the motion screw of the total station. The project is based on an integrated system, the hardware part of which contains a single-board computer, camera, and lens. The main software is a developed motion recognition algorithm with the help of image processing. This algorithm was created using the Python programming language and the open-source computer vision library OpenCV. With the help of the hardware, a video image of the gyroscope's reference scale is obtained, and with the help of the software, the moving light indicator and its position relative to the scale are identified in this image. The result of the study is a functioning automatic measurement system, which determines the value of the azimuth of the direction with the same accuracy as manual measurements. The system is controlled remotely via a computer and wi-fi network. To test the system, a series of automatic and manual measurements were performed simultaneously at the same point for the same direction. Based on the results obtained, it can be stated that the accuracy of the system is within the limits specified by the manufacturer of the device for manual measurements. The application of computer vision technology, namely the tracking of a moving object in the image for gyroscopic measurements can give a significant impetus to the development of automation systems for a wide range of measuring instruments, which in turn can improve the accuracy of measurement results. The developed system can be used together with the Gyromax AK-2M gyrocompass of GeoMessTechnik for carrying out automated measurements, training of new operators. With the help of the developed model, it is possible to avoid gross errors of the observer, to facilitate the measurement process which will not demand the constant presence of the operator near the device. In some dangerous conditions, this is a significant advantage.","PeriodicalId":383864,"journal":{"name":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"GEODESY, CARTOGRAPHY, AND AERIAL PHOTOGRAPHY","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23939/istcgcap2021.93.005","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The aim of the work is to develop an automated measuring system in a mechanical gyrocompass with the help of specially developed hardware and software in order to facilitate the operation of the device and minimize observer errors. The developed complex provides automation only for the time method, as for the method of the turning point it is necessary to constantly contact the motion screw of the total station. The project is based on an integrated system, the hardware part of which contains a single-board computer, camera, and lens. The main software is a developed motion recognition algorithm with the help of image processing. This algorithm was created using the Python programming language and the open-source computer vision library OpenCV. With the help of the hardware, a video image of the gyroscope's reference scale is obtained, and with the help of the software, the moving light indicator and its position relative to the scale are identified in this image. The result of the study is a functioning automatic measurement system, which determines the value of the azimuth of the direction with the same accuracy as manual measurements. The system is controlled remotely via a computer and wi-fi network. To test the system, a series of automatic and manual measurements were performed simultaneously at the same point for the same direction. Based on the results obtained, it can be stated that the accuracy of the system is within the limits specified by the manufacturer of the device for manual measurements. The application of computer vision technology, namely the tracking of a moving object in the image for gyroscopic measurements can give a significant impetus to the development of automation systems for a wide range of measuring instruments, which in turn can improve the accuracy of measurement results. The developed system can be used together with the Gyromax AK-2M gyrocompass of GeoMessTechnik for carrying out automated measurements, training of new operators. With the help of the developed model, it is possible to avoid gross errors of the observer, to facilitate the measurement process which will not demand the constant presence of the operator near the device. In some dangerous conditions, this is a significant advantage.
大地测量学、地图学和航空摄影
本研究的目的是利用专门开发的硬件和软件,在机械陀螺罗盘中开发一种自动测量系统,以方便设备的操作并最大限度地减少观察者的误差。所开发的综合体仅对时间方法提供自动化,对于拐点方法则需要不断接触全站仪的运动螺杆。本项目基于一个集成系统,硬件部分由单板计算机、摄像机、镜头组成。主要软件是在图像处理的帮助下开发的运动识别算法。该算法是使用Python编程语言和开源计算机视觉库OpenCV创建的。在硬件的帮助下,获得陀螺仪参考比例尺的视频图像,并在软件的帮助下,在该图像中识别出运动指示灯及其相对于比例尺的位置。研究的结果是一个功能正常的自动测量系统,它以与人工测量相同的精度确定方向方位角的值。该系统通过计算机和wi-fi网络进行远程控制。为了测试该系统,在同一方向的同一点同时进行了一系列自动和手动测量。根据所获得的结果,可以声明系统的精度在设备制造商规定的手动测量范围内。计算机视觉技术的应用,即陀螺仪测量图像中运动物体的跟踪,可以极大地推动各种测量仪器自动化系统的发展,从而提高测量结果的准确性。开发的系统可以与GeoMessTechnik公司的Gyromax AK-2M陀螺罗经一起使用,用于进行自动测量,培训新操作员。在开发的模型的帮助下,可以避免观察者的严重误差,以方便测量过程,而不需要操作员在设备附近持续存在。在一些危险的条件下,这是一个显著的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信