Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes

Christoph Klug, Dieter Schmalstieg, Clemens Arth

Abstract

Measuring non-planar targets with a total station in reflectorless mode is a challenging and error-prone task. Any accurate 3D point measurement requires a fully reflected laser beam of the electronic distance meter and proper orientation of the pan-tilt unit. Prominent structures like corners and edges often cannot fulfill these requirements and cannot be measured reliably. We present three algorithms and user interfaces for simple and efficient construction-side measurement corrections of the systematic error, using additional measurements close to the non-measurable target. Post-processing of single-point measurements is not required with our methods, and our experiments prove that using a 3D point, a 3D line or a 3D plane support can lower the systematic error by almost a order of magnitude.

References

  1. Amann, M.-C., Bosch, T. M., Lescure, M., Myllylae, R. A., and Rioux, M. (2001). Laser ranging: a critical review of usual techniques for distance measurement. Optical Engineering, 40(1):10-19.
  2. Braden, B. (1986). The Surveyor's Area Formula. The College Mathematics Journal, 17(4):326.
  3. Coaker, L. H. (2009). Reflectorless Total Station Measurements and their Accuracy, Precision and Reliability. B.S. Thesis, University of Southern Queensland.
  4. Criminisi, A., Reid, I., and Zisserman, A. (2000). Single view metrology. International Journal of Computer Vision, 40(2):123-148.
  5. Ehrhart, M. and Lienhart, W. (2015). Image-Based Dynamic Deformation Monitoring of Civil Engineering Structures from Long Ranges. Image Processing: Machine Vision Applications VIII, 9405(1):94050J94050J-14.
  6. Fathi, H. and Brilakis, I. (2013). A Videogrammetric AsBuilt Data Collection Method for Digital Fabrication of Sheet Metal Roof Panels. Advanced Engineering Informatics, 27(4):466-476.
  7. Fischler, M. A. and Bolles, R. C. (1981). Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Commun. ACM, 24(6):381-395.
  8. Hartley, R. and Zisserman, A. (2003). Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge, UK New York.
  9. ISO 17123-3:2001 (2001). ISO 17123-3: Optics and optical instruments - Field procedures for testing geodetic and surveying instruments. Standard, International Organization for Standardization, Geneva, CH.
  10. Jadidi, H., Ravanshadnia, M., Hosseinalipour, M., and Rahmani, F. (2015). A Step-by-Step Construction Site Photography Procedure to Enhance the Efficiency of As-Built Data Visualization: A Case Study. Visualization in Engineering, 3(1):1-12.
  11. Juretzko, M. (2004). Reflektorlose Video-Tachymetrie ein integrales Verfahren zur Erfassung geometrischer und visueller Informationen. PhD thesis, Ruhr University Bochum, Faculty of Civil Engineering.
  12. Klasing, K., Althoff, D., Wollherr, D., and Buss, M. (2009). Comparison of surface normal estimation methods for range sensing applications. 2009 IEEE International Conference on Robotics and Automation, pages 3206- 3211.
  13. Leys, C., Ley, C., Klein, O., Bernard, P., and Licata, L. (2013). Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median. Journal of Experimental Social Psychology, 49(4):764-766.
  14. Martin, D. and Gatta, G. (2006). Calibration of total stations instruments at the ESRF. Proceedings of XXIII FIG Congress, pages 1-14.
  15. Nichols, J. M. and Beavers, J. E. (2003). Development and Calibration of an Earthquake Fatality Function. Earthquake Spectra, 19(3):605-633.
  16. Reda, A. and Bedada, B. (2012). Accuracy analysis and Calibration of Total Station based on the Reflectorless Distance Measurement. Master's thesis, Royal Institute of Technology (KTH), Sweden.
  17. Scherer, M. (2001). Advantages of the Integration of Image Processing and Direct Coordinate Measurement for Architectural Surveying - Development of the System TOTAL. FIG XXII International Congress.
  18. Scherer, M. (2004). Intelligent Scanning with RobotTacheometer and Image Processing: A Low Cost Alternative to 3D Laser Scanning? FIG Working Week.
  19. Scherer, M. and Lerma, J. L. (2009). From the Conventional Total Station to the Prospective Image Assisted Photogrammetric Scanning Total Station: Comprehensive Review. Journal of Surveying Engineering, 135(4):173-178.
  20. Schneider, D. (2009). Calibration of a Riegl LMS-Z420i based on a multi-station adjustment and a geometric model with additional parameters. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences 38 (Part 3/W8), XXXVIII:177-182.
  21. Schneider, P. and Eberly, D. (2003). Geometric Tools for Computer Graphics. Boston Morgan Kaufmann Publishers, Amsterdam.
  22. Schulz, T. (2007). Calibration of a Terrestrial Laser Scanner for Engineering Geodesy. PhD thesis, ETH Zurich, Switzerland.
  23. Siu, M.-F., Lu, M., and AbouRizk, S. (2013). Combining Photogrammetry and Robotic Total Stations to Obtain Dimensional Measurements of Temporary Facilities in Construction Field. Visualization in Engineering, 1(1):4.
  24. Topcon Corporation (2011). Imaging Station IS Series, Instruction Manual.
  25. Uren, J. (2010). Surveying for Engineers. Palgrave Macmillan, Basingstoke England New York.
  26. Zeiske, K. (2004). Surveying made easy. https://www1.aps. anl.gov/files/download/DET/Detector-Pool/ Beamline-Components/Lecia Optical Level/ Surveying en.pdf.
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Paper Citation


in Harvard Style

Klug C., Schmalstieg D. and Arth C. (2017). Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes . In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 17-27. DOI: 10.5220/0006096800170027


in Bibtex Style

@conference{visapp17,
author={Christoph Klug and Dieter Schmalstieg and Clemens Arth},
title={Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={17-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006096800170027},
isbn={978-989-758-227-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6: VISAPP, (VISIGRAPP 2017)
TI - Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes
SN - 978-989-758-227-1
AU - Klug C.
AU - Schmalstieg D.
AU - Arth C.
PY - 2017
SP - 17
EP - 27
DO - 10.5220/0006096800170027