Open access
Creator
Date
2017-12Type
- Dataset
ETH Bibliography
yes
Altmetrics
Abstract
Experiments involving investigation of the distance noise were carried out in the Geodetic Metrology laboratory using the Leica BLK360 laser scanner. The goal was to perform some tests and check for the distance bias and noise level in the software Geomagic. The scans were acquired at various distances on the comparator bench - 5 m, 6.5 m, 10 m, 20 m, 30 m, 40 m, and 50 m. The scanner was mounted on the comparator bench with a motorized trolley to move it step-wise from one end of the bench to the other and back again. A wooden surface was scanned which is positioned at one end of the bench. The reference scan of the wooden plate was obtained by the laser tracker and the noise levels were quantified for each position in Geomagic by 3D comparison of the two scans. Furthermore, biases in distances measurements were calculated for the respective BLK scanner positions. At each position, the displacement reference data was obtained from the laser interferometer. All the scans were automatically registered in Recap during measurements. Additionally, all the scans were globally registered in Geomagic to the very first scan acquired. In addition, in the setup, a grey colored surface was employed at the opposite end of the comparator bench for later comparison of noise and intensity differences with the wooden surface. The surface has two different reflectance parts, i.e., a light grey and a dark grey. For all the scans, the resolution was set to high density. Show more
Permanent link
https://doi.org/10.3929/ethz-b-000404685Publisher
ETH ZurichGeographic location
Place nameZurich
Date collected
2017Date created
2018Subject
terrestrial laser scanning; distance noise, distance biasOrganisational unit
02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry03964 - Wieser, Andreas / Wieser, Andreas
Funding
169318 - Modeling surface-related uncertainty of terrestrial laser scanning (SNF)
Notes
a .zip file containing - .asc files of the registered and processed point clouds, two images as .png, and a Readme.txt fileMore
Show all metadata
ETH Bibliography
yes
Altmetrics