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Empirical Evaluation of Terrestrial Laser Scanner Calibration Strategies: Manufacturer-Based, Target-Based and Keypoint-Based

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Book cover Contributions to International Conferences on Engineering Surveying

Abstract

To assure accurate terrestrial laser scanner (TLS) point clouds, the instruments should be repeatedly calibrated in the manufacturer’s facilities, either in regular time intervals or if they fail the examination on a test-field. This workflow has drawbacks for the end-users: there is no deeper understanding of the calibration procedure and it is time- and money-wise burdening. As an alternative, scientists developed several user-oriented calibration approaches, which are not well accepted in practice. We investigated the differences between the factory calibration and two user-oriented calibration approaches, as well as their interaction. The investigation focuses on the raw point clouds without factory calibration. Our results show that the user-oriented calibration can replace the manufacturer calibration to some degree. However, the user-oriented calibration on top of the manufacturers’ calibration improves the measurement quality beyond the factory calibration. Hence, user-oriented calibration should be considered as an alternative for the re-calibration to deliver up-to-date calibration parameters.

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References

  1. Mukupa, W.; Roberts, G.W.; Hancock, C.M.; Al-Manasir, K. A review of the use of terrestrial laser scanning application for change detection and deformation monitoring of structures. Surv. Rev. 2017, 49, 99–116.

    Google Scholar 

  2. Walsh, G. Leica ScanStation P-Series – Details that matter. Leica ScanStation - White Paper, Online: http://blog.hexagongeosystems.com/(accessed on May 21, 2019).

  3. Holst, C.; Neuner, H.; Wieser, A.; Wunderlich, T.; Kuhlmann, H. Calibration of Terrestrial Laser Scanners / Kalibrierung terrestrischer Laserscanner. Allg. Vermessungs-Nachrichten 2016, 123, 147–157.

    Google Scholar 

  4. Mettenleiter, M.; Härtl, F.; Kresser, S.; Fröhlich, C. Laserscanning—Phasenbasierte Lasermesstechnik für die hochpräzise und schnelle dreidimensionale Umgebungserfassung, Süddeutscher Verlag, Munich, Germany, 2015.

    Google Scholar 

  5. Lichti, D.D. Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system. ISPRS J. Photogramm. Remote Sens. 2007, 61, 307–324.

    Google Scholar 

  6. Reshetyuk, Y. Self-calibration and direct georeferencing in terrestrial laser scanning, KTH Stockholm, 2009.

    Google Scholar 

  7. International Organization for Standardization (ISO) Optics and optical instruments – Field procedures for testing geodetic and surveying instruments – Part 9: Terrestrial laser scanners. 2018.

    Google Scholar 

  8. Gielsdorf, F.; Rietdorf, A.; Gruendig, L. A Concept for the Calibration of Terrestrial Laser Scanners. Proc. FIG Work. Week. Athens, Greec 2004, 1–10.

    Google Scholar 

  9. Chan, T.O.; Lichti, D.D.; Belton, D. A rigorous cylinder-based self-calibration approach for terrestrial laser scanners. ISPRS J. Photogramm. Remote Sens. 2015, 99, 84–99.

    Google Scholar 

  10. Holst, C.; Kuhlmann, H. Aiming at self-calibration of terrestrial laser scanners using only one single object and one single scan. J. Appl. Geod. 2014, 8, 295–310.

    Google Scholar 

  11. Medić, T.; Kuhlmann, H.; Holst, C. Automatic in-situ self-calibration of a panoramic TLS from a single station using 2D keypoints. In ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences; 2019.

    Google Scholar 

  12. Vosselman, G.; Maas, H.G. Airborne and Terrestrial Laser Scanning; Whittles Publishing, 2010; ISBN 9781439827987.

    Google Scholar 

  13. GmbH, Z. + F. Z + F Imager 5016 Preliminary Data Sheet 2016, 1–3.

    Google Scholar 

  14. Medić, T.; Kuhlmann, H.; Holst, C. Designing and evaluating a user-oriented calibration field for the target-based self-calibration of panoramic terrestrial laser scanners. Remote Sens. 2020, 12(1), 15.

    Google Scholar 

  15. Janßen, J.; Medić, T.; Kuhlmann, H.; Holst, C. Decreasing the uncertainty of the target centre estimation at terrestrial laser scanning by choosing the best algorithm and by improving the target design. Remote Sens. 2019, 11 (7).

    Google Scholar 

  16. Medić, T.; Kuhlmann, H.; Holst, C. Sensitivity Analysis and Minimal Measurement Geometry for the Target-Based Calibration of High-End Panoramic Terrestrial Laser Scanners. Remote Sens. 2019, 11, 1519.

    Google Scholar 

  17. Förstner, W.; Gülch, E. A Fast Operator for Detection and Precise Location of Distict Point, Corners and Centres of Circular Features. In Proceedings of the ISPRS Conference on Fast Processing of Photogrammetric Data; Interlaken, 1987, 281–305.

    Google Scholar 

  18. Förstner, W.; Wrobel, B.P. Photogrammetric Computer Vision; Springer International Publishing Switzerland, 2016; ISBN 9783319115498.

    Google Scholar 

  19. Lague, D.; Brodu, N.; Leroux, J. Accurate 3D comparison of complex topography with terrestrial laser scanner: Application to the Rangitikei canyon (N-Z). ISPRS J. Photogramm. Remote Sens. 2013, 82, 10–26.

    Google Scholar 

  20. Muralikrishnan, B.; Ferrucci, M.; Sawyer, D.; et al. Volumetric performance evaluation of a laser scanner based on geometric error model. Precis. Eng. 2015, 40, 139–150.

    Google Scholar 

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Acknowledgements

The authors would like to express gratitude to Zoller + Fröhlich GmbH for providing us the unique opportunity to investigate their flagship TLS Imager 5016.

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Correspondence to Tomislav Medić .

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Medić, T., Kuhlmann, H., Holst, C. (2021). Empirical Evaluation of Terrestrial Laser Scanner Calibration Strategies: Manufacturer-Based, Target-Based and Keypoint-Based. In: Kopáčik, A., Kyrinovič, P., Erdélyi, J., Paar, R., Marendić, A. (eds) Contributions to International Conferences on Engineering Surveying. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-51953-7_4

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