An on-site approach for the self-calibration of terrestrial laser scanner
Article
Article Title | An on-site approach for the self-calibration of terrestrial laser scanner |
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ERA Journal ID | 650 |
Article Category | Article |
Authors | Abbas, Mohd Azwan (Author), Lichti, Derek D. (Author), Chong, Albert K. (Author), Setan, Halim (Author) and Majid, Zulkepli (Author) |
Journal Title | Measurement |
Journal Citation | 52 (1), pp. 111-123 |
Number of Pages | 13 |
Year | 2014 |
Publisher | Elsevier |
Place of Publication | Amsterdam, Netherlands |
ISSN | 0263-2241 |
1873-412X | |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.measurement.2014.03.009 |
Abstract | Two approaches available for performing self-calibration are: (1) point-based and (2) feature-based. The reliance on planes in the feature-based approach is a restriction to the aim of finding a suitable approach for on-site calibration. Also, the requirement for a strong network configuration in point-based self-calibration has made it difficult to implement on-site. The aim of this study was to investigate the suitability of lowering the network station and target configuration requirements. Investigations of minimum network configurations were carried out by analysing three important elements: (1) the minimum number of scan stations; (2) the minimum number of real-world planes on which targets are distributed; and (3) the minimum number of point targets per plane. Also, experiments were carried to determine the effects of the choice of datum constraints. |
Keywords | On-site calibration; terrestrial laser scanner; accuracy; network design |
ANZSRC Field of Research 2020 | 409902. Engineering instrumentation |
401306. Surveying (incl. hydrographic surveying) | |
490103. Calculus of variations, mathematical aspects of systems theory and control theory | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | MARA University of Technology, Malaysia |
University of Calgary, Canada | |
Faculty of Engineering and Surveying | |
University of Technology Malaysia, Malaysia | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q25z4/an-on-site-approach-for-the-self-calibration-of-terrestrial-laser-scanner
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