Improvement in measurement accuracy for hybrid scanner

The capability to provide dense three-dimensional (3D) data (point clouds) at high speed and at high accuracy has made terrestrial laser scanners (TLS) widely used for many purposes especially for documentation, management and analysis. However, similar to other 3D sensors, proper understanding rega...

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Published in:IOP Conference Series: Earth and Environmental Science
Main Author: Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Lichti D.D.
Format: Conference paper
Language:English
Published: Institute of Physics Publishing 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902352370&doi=10.1088%2f1755-1315%2f18%2f1%2f012066&partnerID=40&md5=1cae9ec53612e5a085da73f9e6cef8b1
id 2-s2.0-84902352370
spelling 2-s2.0-84902352370
Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Lichti D.D.
Improvement in measurement accuracy for hybrid scanner
2014
IOP Conference Series: Earth and Environmental Science
18
1
10.1088/1755-1315/18/1/012066
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902352370&doi=10.1088%2f1755-1315%2f18%2f1%2f012066&partnerID=40&md5=1cae9ec53612e5a085da73f9e6cef8b1
The capability to provide dense three-dimensional (3D) data (point clouds) at high speed and at high accuracy has made terrestrial laser scanners (TLS) widely used for many purposes especially for documentation, management and analysis. However, similar to other 3D sensors, proper understanding regarding the error sources is necessary to ensure high quality data. A procedure known as calibration is employed to evaluate these errors. This process is crucial for TLS in order to make it suitable for accurate 3D applications (e.g. industrial measurement, reverse engineering and monitoring). Two calibration procedures available for TLS: 1) component, and 2) system calibration. The requirements of special laboratories and tools which are not affordable by most TLS users have become principle drawback for component calibration. In contrast, system calibration only requires a room with appropriate targets. By employing optimal network configuration, this study has performed system calibration through self-calibration for Leica ScanStation C10 scanner. A laboratory with dimensions of 15.5 m × 9 m × 3 m and 138 well-distributed planar targets were used to derive four calibration parameters. Statistical analysis (e.g. t-test) has shown that only two calculated parameters, the constant rangefinder offset error (0.7 mm) and the vertical circle index error (-45.4") were significant for the calibrated scanner. Photogrammetric technique was utilised to calibrate the 3D test points at the calibration field. By using the test points, the residual pattern of raw data and self-calibration results were plotted into the graph to visually demonstrate the improvement in accuracy for Leica ScanStation C10 scanner. © Published under licence by IOP Publishing Ltd.
Institute of Physics Publishing
17551307
English
Conference paper
All Open Access; Gold Open Access
author Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Lichti D.D.
spellingShingle Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Lichti D.D.
Improvement in measurement accuracy for hybrid scanner
author_facet Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Lichti D.D.
author_sort Abbas M.A.; Setan H.; Majid Z.; Chong A.K.; Lichti D.D.
title Improvement in measurement accuracy for hybrid scanner
title_short Improvement in measurement accuracy for hybrid scanner
title_full Improvement in measurement accuracy for hybrid scanner
title_fullStr Improvement in measurement accuracy for hybrid scanner
title_full_unstemmed Improvement in measurement accuracy for hybrid scanner
title_sort Improvement in measurement accuracy for hybrid scanner
publishDate 2014
container_title IOP Conference Series: Earth and Environmental Science
container_volume 18
container_issue 1
doi_str_mv 10.1088/1755-1315/18/1/012066
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902352370&doi=10.1088%2f1755-1315%2f18%2f1%2f012066&partnerID=40&md5=1cae9ec53612e5a085da73f9e6cef8b1
description The capability to provide dense three-dimensional (3D) data (point clouds) at high speed and at high accuracy has made terrestrial laser scanners (TLS) widely used for many purposes especially for documentation, management and analysis. However, similar to other 3D sensors, proper understanding regarding the error sources is necessary to ensure high quality data. A procedure known as calibration is employed to evaluate these errors. This process is crucial for TLS in order to make it suitable for accurate 3D applications (e.g. industrial measurement, reverse engineering and monitoring). Two calibration procedures available for TLS: 1) component, and 2) system calibration. The requirements of special laboratories and tools which are not affordable by most TLS users have become principle drawback for component calibration. In contrast, system calibration only requires a room with appropriate targets. By employing optimal network configuration, this study has performed system calibration through self-calibration for Leica ScanStation C10 scanner. A laboratory with dimensions of 15.5 m × 9 m × 3 m and 138 well-distributed planar targets were used to derive four calibration parameters. Statistical analysis (e.g. t-test) has shown that only two calculated parameters, the constant rangefinder offset error (0.7 mm) and the vertical circle index error (-45.4") were significant for the calibrated scanner. Photogrammetric technique was utilised to calibrate the 3D test points at the calibration field. By using the test points, the residual pattern of raw data and self-calibration results were plotted into the graph to visually demonstrate the improvement in accuracy for Leica ScanStation C10 scanner. © Published under licence by IOP Publishing Ltd.
publisher Institute of Physics Publishing
issn 17551307
language English
format Conference paper
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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