Increasing the accuracy of ground laser scanning by introducing corrections determined from the calibration elements

Engineering Surveying & Deformation Monitoring

Authors

First and Last Name Academic degree E-mail Affiliation
Bohdan Sossa No bohdan.sossa [at] gmail.com Department of Engineering Geodesy, Kyiv National University of Construction and Architecture
Kyiv, Ukraine
Mikhail Fys Sc.D. fysmikhail [at] gmail.com Department of Cartography and Geospatial ModellingLviv Polytechnic National University
Lviv, Ukraine
Anatolii Vivat Ph.D. anatoliyvivat [at] gmail.com Department of Engineering Geodesy Lviv Polytechnic National University
Lviv, Ukraine
Marina Lisogor No Marina_ya [at] ukr.net PO Guild of Geodesist Engineers
Kyiv, Ukraine
Stepan Dzhurylo No stepko3x3 [at] gmail.com LTD Navigation Geodetic Center
Kharkiv, Ukraine

I and my co-authors (if any) authorize the use of the Paper in accordance with the Creative Commons CC BY license

First published on this website: 27.08.2023 - 17:02
Abstract 

In the last decade, Terrestrial Laser Scanning (TLS) technology has undergone significant development. New manufacturing companies have emerged and existing models have been enhanced. In the global market, notable manufacturers include Austrian Riegl, American Faro and Trimble, German Z+F, Swiss Leica Geosystems, and Japanese Topcon. This technology has introduced new possibilities for efficient work processes. However, within the professional community, there is still no consensus on accuracy measurement and laser scanner calibration. Typically, manufacturers calibrate laser scanners prior to delivery and recommend users to periodically recalibrate them. Calibration results are directly entered into the device, leaving users without access to calibration parameter values and the method used for their determination.  The aim of this study is to investigate terrestrial laser scanners based on measurements conducted in a calibration field. In essence, scanner calibration is analogous to the inverse photogrammetric problem (determining exterior and interior orientation elements), where calibration elements are the unknown parameters (Dorozhyns'kyi, Kolb, & Dorozhyns'ka, 2009). During TLS calibration, the error model is assumed to be similar to that of an electronic theodolite (Rietdorf et al., 2004), although some researchers challenge this approach (Medic et al., 2019). Hence, errors in measured distance (ρ), horizontal angle (φ), and vertical angle (α) are identified as Δρ, Δ φ, and Δα, respectively. Notably, the components of these parameters are determined differently.

References 

Atanasova, M., & Nikolov, H. (2019, October). Studying the coastal landslides processes by InSAR. In Earth Resources and Environmental Remote Sensing/GIS Applications X (Vol. 11156, pp. 225-234). SPIE.

Chow J. C. K., Lichti D. D., Glennie C., Hartzell P. Improvement to and Comparison of Static Terrestrial LiDAR Self-Calibration Methods. SENSORS. 2013.№6.P. 7224-7249.URL:http://www.mdpi.com/1424-8220/13/6/7224(Last accessed: 12.03.2020).

Dorozhyns'kyi, O., Kolb, I., & Dorozhyns'ka, O. (2009). Photogrammetry, Geoinformatics, Remote Sensing in Studies of Cultural Landscape.Walsh, L. W. (2016). A review of terrestrial laser scanner calibration and the establishment of the Bentley Calibration Field.

Hlotov, V. M., Fys, M. M., Siejka, Z., & Yurkiv, M. I. (2022). Accuracy assessment of external orientation elements for digital images obtained from UAVS using derivatives of implicitly specified functions. Remote Sensing Applications: Society and Environment, 25, 100683.

Holst, C., Neuner, H., Wieser, A., Wunderlich, T., & Kuhlmann, H. (2016). Calibration of terrestrial laser scanners. Allgemeine Vermessungs-Nachrichten: AVN; Zeitschrift für alle Bereiche der Geodäsie und Geoinformation, 123(6), 147-157.

Kabsch, Wolfgang (1976). "A solution for the best rotation to relate two sets of vectors". Acta CrystallographicaA32 (5):922. Bibcode:1976AcCrA32..922Kdoi:10.1107/S0567739476001873

Medic, T., Holst, C., & Kuhlmann, H. (2019). Improving the results of terrestrial laser scanner calibration by an optimized calibration process. Proceedings of the Photogrammetrie, Laserscanning, Optische 3D-Messtechnik, Beiträge der Oldenburger 3D-Tage, Oldenburg, Germany, 5-7.

Rietdorf A.,Gielsdorf F., Gruendig L. A Concept for the Calibration of Terrestrial Laser Scanners. FIG Working Week 2004, TS26 Positioning and Measurement Technologies and Practices II – Laser Scanning and Photogrammetry, Athens, Greece, May 22-27, 2004.Athens, 2004.P. 2-11

Reshetyuk Y. Self-calibration and direct georeferencing in terrestrial laser scanning: Doctoral thesis in Infrastructure, Geodesy / Royal Institute of Technology (KTH), Department of Transport and Economics, Division of Geodesy. Stockholm, 2009. 174 p.

Schulz R. V., Sossa B. R. Systematic Calibration of Terrestrial Laser Scanners: Models and Methods. Bulletin of Geodesy and Cartography. Kyiv, 2015. Vol. 2. Pp. 25-30.

Umeyama, Shinji (1991). "Least-Squares Estimation of Transformation Parameters Between Two Point Patterns". IEEE Trans. Pattern Anal. Mach. Intell13 (4): 376–380. doi:10.1109/34.88573

Vivat, A., et al. The spatial determination of the point position by linear measurements. In: International Conference of Young Professionals «GeoTerrace-2020». European Association of Geoscientists & Engineers, 2020. p. 1-5.