New target for accurate terrestrial laser scanning and unmanned aerial vehicle point cloud registration
ID Urbančič, Tilen (Author), ID Roškar, Žiga (Author), ID Kosmatin Fras, Mojca (Author), ID Grigillo, Dejan (Author)

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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.

Keywords:artificial target, terrestrial laser scanning, SfM photogrammetry, registration, registration quality
Work type:Article
Typology:1.01 - Original Scientific Article
Organization:FGG - Faculty of Civil and Geodetic Engineering
Publication status:Published
Publication version:Version of Record
Number of pages:29 str.
Numbering:Vol. 19, iss. 14, art. 3179
PID:20.500.12556/RUL-128430 This link opens in a new window
ISSN on article:1424-8220
DOI:10.3390/s19143179 This link opens in a new window
COBISS.SI-ID:8860513 This link opens in a new window
Publication date in RUL:13.07.2021
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Shortened title:Sensors
COBISS.SI-ID:10176278 This link opens in a new window


License:CC BY 4.0, Creative Commons Attribution 4.0 International
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:19.07.2019

Secondary language

Keywords:umetna tarča, terestrično lasersko skeniranje, SfM-fotogrametrija, registracija, kakovost registracije


Funder:ARRS - Slovenian Research Agency
Project number:P2-0227
Name:Geoinformacijska infrastruktura in trajnostni prostorski razvoj Slovenije

Funder:ARRS - Slovenian Research Agency
Project number:P2-0406
Name:Opazovanje Zemlje in geoinformatika

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