Iterative Closest Point Based Volume Analysis on UAV Made Time-Series Large-Scale Point Clouds

D. Stojcsics, Zsolt Domozi, A. Molnár
{"title":"Iterative Closest Point Based Volume Analysis on UAV Made Time-Series Large-Scale Point Clouds","authors":"D. Stojcsics, Zsolt Domozi, A. Molnár","doi":"10.1109/SISY.2018.8524645","DOIUrl":null,"url":null,"abstract":"With new methods of 3D model creation, the examination of real objects and natural or artificial formations in virtual space become possible. A precondition is that the models be created along the principles of photogrammetry. The bases of the method introduced in the paper are the precise flight ability of small-sized machines piloted by a robot and a mounted camera with distortion-free optics. Surveys conducted by such devices can be faster and more economical than the usage of conventional aircraft requiring human personnel. As long as all the parameters of the devices are known, it is possible to create a kind of 3D model on which volume calculation can be conducted referring to the real object. In this present paper, we introduce the algorithmic and automatized version of the previous analysis method demanding manual engineering work. The solution can be appropriate for the complete substitution of geodetic field work; it produces faster and more accurate results.","PeriodicalId":6647,"journal":{"name":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","volume":"27 1","pages":"000069-000074"},"PeriodicalIF":0.0000,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE 16th International Symposium on Intelligent Systems and Informatics (SISY)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SISY.2018.8524645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

With new methods of 3D model creation, the examination of real objects and natural or artificial formations in virtual space become possible. A precondition is that the models be created along the principles of photogrammetry. The bases of the method introduced in the paper are the precise flight ability of small-sized machines piloted by a robot and a mounted camera with distortion-free optics. Surveys conducted by such devices can be faster and more economical than the usage of conventional aircraft requiring human personnel. As long as all the parameters of the devices are known, it is possible to create a kind of 3D model on which volume calculation can be conducted referring to the real object. In this present paper, we introduce the algorithmic and automatized version of the previous analysis method demanding manual engineering work. The solution can be appropriate for the complete substitution of geodetic field work; it produces faster and more accurate results.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
基于迭代最近点的无人机时间序列大尺度点云体积分析
随着3D模型创建的新方法,在虚拟空间中检查真实物体和自然或人工形成成为可能。一个先决条件是模型是按照摄影测量学的原则创建的。本文介绍的方法的基础是由机器人驾驶的小型机器的精确飞行能力和安装无畸变光学相机。使用这种设备进行的调查比使用需要人力的传统飞机更快、更经济。只要知道设备的所有参数,就可以创建一种三维模型,并在其上参照实物进行体积计算。在本文中,我们介绍了以前的分析方法的算法和自动化版本,需要人工的工程工作。该方案可适用于完全替代大地测量野外工作;它产生更快,更准确的结果。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Digital Forensics: Evidence Analysis via Intelligent Systems and Practices DigForASP - CA17124. Challenges and Achievements: Plenary Talk Kinematic quantification of knee joint asymmetry during preparatory phase of a standing backward tucked salto Enhanced Data Modelling Approach with Interval Estimation Cybersecurity Issues in Industrial Control Systems Fuzzy Based Indoor Navigation for Mobile Robots
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1