An outdoor terrestrial laser scanner data quality assurance: minimizing point-based self-calibration network configuration
Article
Razak, Nur Nazura Abd, Abbas, Mohd Azwan, Azmi, Mohamad Aizat Asyraff Mohamad, Kamarruzzaman, Muhammad Aliff Haika, Chong, Albert K, Sulaiman, Saiful Aman, Mustafar, Mohamad Asrul and Hashim, Norshahrizan Mohd. 2023. "An outdoor terrestrial laser scanner data quality assurance: minimizing point-based self-calibration network configuration." Malaysian Construction Research Journal. 20 (3), pp. 203-220.
Article Title | An outdoor terrestrial laser scanner data quality assurance: minimizing point-based self-calibration network configuration |
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Article Category | Article |
Authors | Razak, Nur Nazura Abd, Abbas, Mohd Azwan, Azmi, Mohamad Aizat Asyraff Mohamad, Kamarruzzaman, Muhammad Aliff Haika, Chong, Albert K, Sulaiman, Saiful Aman, Mustafar, Mohamad Asrul and Hashim, Norshahrizan Mohd |
Journal Title | Malaysian Construction Research Journal |
Journal Citation | 20 (3), pp. 203-220 |
Number of Pages | 18 |
Year | 2023 |
Publisher | Construction Research Institute of Malaysia (CREAM) |
Place of Publication | Malaysia |
ISSN | 1985-3807 |
2590-4140 | |
Web Address (URL) | https://www.cream.my/prod/mcrj-special-issue-volume-20-no-3-2023- |
Abstract | Data quality assurance (QA) is a critical process to maximize the accuracy of terrestrial laser scanner (TLS) deliverables. Numerous errors augmented in TLS measurements have made that calibration procedure is crucial. Due to the atmospheric disturbances (e.g. temperature, pressure, and humidity), a priori calibration parameters have demonstrated less significant to the TLS QA. Hence, on-site calibration has become an option to resolve this limitation. However, reliance on features existence or surfaces for targets distribution has limited the existing on-site TLS calibration approaches for indoor implementation. Thus, this study has investigated a method that is applicable for outdoor on-site data quality assurance. Through point-based self-calibration, this research has systematically reduced the dimension of surfaces required to distribute all targets. The results obtained have demonstrated that with the surface dimension of 3.6m (width) x 1.2m (height) for targets distribution, derived calibration parameters can improve the accuracy of raw TLS data up to 57 percent. However, statistical analysis and synthetic errors experiment have indicated disagreement with calibration parameters derived for angular measurement. Through a significant effect experiment, the outcomes demonstrated that the minimum configuration for TLS self-calibration only applicable to derive errors in range measurement. The findings from multi-experiments concluded that the study has significantly quantified the sensitivity of minimum network configuration in deriving the TLS systematic errors through point-based self-calibration. |
Keywords | Accuracy; Data Quality Assurance; Network Design; On-Site Calibration; Quality Enhancemen |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 401303. Navigation and position fixing |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | MARA University of Technology, Malaysia |
School of Surveying and Built Environment |
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