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精确地面激光扫描与无人机点云配准的新目标

New Target for Accurate Terrestrial Laser Scanning and Unmanned Aerial Vehicle Point Cloud Registration.

作者信息

Urbančič Tilen, Roškar Žiga, Kosmatin Fras Mojca, Grigillo Dejan

机构信息

Faculty of Civil and Geodetic Engineering, University of Ljubljana, Jamova cesta 2, 1000 Ljubljana, Slovenia.

Leica Geosystems AG, Heinrich-Wild-Strasse, CH-9435 Heerbrugg, Switzerland.

出版信息

Sensors (Basel). 2019 Jul 19;19(14):3179. doi: 10.3390/s19143179.

DOI:10.3390/s19143179
PMID:31330968
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6679335/
Abstract

The main goal of our research was to design and implement an innovative target that would be suitable for accurately registering point clouds produced from unmanned aerial vehicle (UAV) images and terrestrial laser scans. Our new target is composed of three perpendicular planes that combine the properties of plane and volume targets. The new target enables the precise determination of reference target points in aerial and terrestrial point clouds. Different types of commonly used plane and volume targets as well as the new target were placed in an established test area in order to evaluate their performance. The targets were scanned from multiple scanner stations and surveyed with an unmanned aerial vehicle DJI Phantom 4 PRO at three different altitudes (20, 40, and 75 m). The reference data were measured with a Leica Nova MS50 MultiStation. Several registrations were performed, each time with a different target. The quality of these registrations was assessed on the check points. The results showed that the new target yielded the best results in all cases, which confirmed our initial expectations. The proposed new target is innovative and not difficult to create and use.

摘要

我们研究的主要目标是设计并实现一种创新型靶标,该靶标适用于精确配准由无人机(UAV)图像和地面激光扫描生成的点云。我们的新靶标由三个相互垂直的平面组成,结合了平面靶标和体积靶标的特性。这种新靶标能够在航空和地面点云中精确确定参考靶标点。为了评估不同类型常用平面靶标、体积靶标以及新靶标的性能,我们将它们放置在一个既定的测试区域。从多个扫描站对这些靶标进行扫描,并使用大疆精灵4 PRO无人机在三个不同高度(20米、40米和75米)进行测量。参考数据使用徕卡Nova MS50多站测量仪进行测量。每次使用不同的靶标进行多次配准。在检查点上评估这些配准的质量。结果表明,新靶标在所有情况下都产生了最佳结果,这证实了我们最初的预期。所提出的新靶标具有创新性,且制作和使用并不困难。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4e1/6679335/c9a701745e10/sensors-19-03179-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4e1/6679335/c9a701745e10/sensors-19-03179-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4e1/6679335/c9a701745e10/sensors-19-03179-g001.jpg

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本文引用的文献

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How to Efficiently Determine the Range Precision of 3D Terrestrial Laser Scanners.如何高效确定三维地面激光扫描仪的距离精度。
Sensors (Basel). 2019 Mar 26;19(6):1466. doi: 10.3390/s19061466.
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Registration of Laser Scanning Point Clouds: A Review.激光扫描点云配准:综述。
Sensors (Basel). 2018 May 21;18(5):1641. doi: 10.3390/s18051641.
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Registration of Aerial Optical Images with LiDAR Data Using the Closest Point Principle and Collinearity Equations.基于最近点原理和共线方程的航空光学影像与激光雷达数据配准。
Sensors (Basel). 2018 Jun 1;18(6):1770. doi: 10.3390/s18061770.
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Robust Segmentation of Planar and Linear Features of Terrestrial Laser Scanner Point Clouds Acquired from Construction Sites.从建筑工地获取的地面激光扫描仪点云的平面和线性特征的稳健分割
Sensors (Basel). 2018 Mar 8;18(3):819. doi: 10.3390/s18030819.
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High-Precision Registration of Point Clouds Based on Sphere Feature Constraints.基于球体特征约束的点云高精度配准
Sensors (Basel). 2016 Dec 30;17(1):72. doi: 10.3390/s17010072.