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Tytuł artykułu

Error Analysis of Stonex X300 Laser Scanner Close-range Measurements

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This research reports an error analysis of close-range measurements from a Stonex X300 laser scanner in order to address range uncertainty behavior based on indoor experiments under fixed environmental conditions. The analysis includes procedures for estimating the precision and accuracy of the observational errors estimated from the Stonex X300 observations and conducted at intervals of 5 m within a range of 5 to 30 m. The laser 3D point cloud data of the individual scans is analyzed following a roughness analysis prior to the implementation of a Levenberg–Marquardt iterative closest points (LM-ICP) registration. This leads to identifying the level of roughness that was encountered due to the range-finder’s limitations in close-ranging as well as measurements that were obtained from extreme incident angle signals. The measurements were processed using a statistical outlier removal (SOR) filter to reduce the noise impact toward a smoother data set. The geometric differences and the RMSE values in the 3D coordinate directions were computed and analyzed, which showed the potential of the Stonex X300 measurements in close-ranging following a careful statistical analysis. It was found that the error differences in the vertical direction had a consistent behavior when the range increased, whereas the errors in the horizontal direction varied. However, it is more common to produce errors in the vertical direction as compared to the horizontal one.
Rocznik
Strony
5--24
Opis fizyczny
Bibliogr. 35 poz., fot., rys., tab., wykr.
Twórcy
  • University of Baghdad, College of Engineering, Department of Surveying Engineering, Baghdad, Iraq
  • University of Baghdad, College of Engineering, Department of Surveying Engineering, Baghdad, Iraq
  • University of Baghdad, College of Engineering, Department of Surveying Engineering, Baghdad, Iraq
Bibliografia
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  • Theiler P.W., Schindler K.: Automated registration of terrestrial laser scanner point clouds. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. I-3, 2012, pp. 173–178. https://doi.org/10.5194/isprsannals-I-3-173-2012.
  • Alsadik B., Gerke M., Vosselman G.: Automated camera network design for 3D modeling of cultural heritage objects. Journal of Cultural Heritage, vol. 14(6), 2013, pp. 515–526. https://doi.org/10.1016/j.culher.2012.11.007.
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-72378226-93c1-49e0-918e-bcbd69dea624
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