대한공간정보학회지 (Journal of Korean Society for Geospatial Information Science)

  • 제24권2호
  • /
  • Pages.79-87
  • /
  • 2016
  • /
  • 1598-2955(pISSN)
  • /
  • 2287-6693(eISSN)
대한공간정보학회 (Korea Spatial Information Society)
권호 표지
DOI QR코드

DOI QR Code

Evaluation of Geometric Error Sources for Terrestrial Laser Scanner

  • Lee, Ji Sang (School of Civil and Environmental Engineering, Yonsei University) ;
  • Hong, Seung Hwan (School of Civil and Environmental Engineering, Yonsei University) ;
  • Park, Il Suk (School of Civil and Environmental Engineering, Yonsei University) ;
  • Cho, Hyoung Sig (School of Civil and Environmental Engineering, Yonsei University) ;
  • Sohn, Hong Gyoo (School of Civil and Environmental Engineering, Yonsei University)
  • 투고 : 2016.06.01
  • 심사 : 2016.07.01
  • 발행 : 2016.06.30
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

As 3D geospatial information is demanded, terrestrial laser scanners which can obtain 3D model of objects have been applied in various fields such as Building Information Modeling (BIM), structural analysis, and disaster management. To acquire precise data, performance evaluation of a terrestrial laser scanner must be conducted. While existing 3D surveying equipment like a total station has a standard method for performance evaluation, a terrestrial laser scanner evaluation technique for users is not established. This paper categorizes and analyzes error sources which generally occur in terrestrial laser scanning. In addition to the prior researches about categorizing error sources of terrestrial Laser scanning, this paper evaluates the error sources by the actual field tests for the smooth in-situ applications.The error factors in terrestrial laser scanning are categorized into interior error caused by mechanical errors in a terrestrial laser scanner and exterior errors affected by scanning geometry and target property. Each error sources were evaluated by simulation and actual experiments. The 3D coordinates of observed target can be distortedby the biases in distance and rotation measurement in scanning system. In particular, the exterior factors caused significant geometric errors in observed point cloud. The noise points can be generated by steep incidence angle, mixed-pixel and crosstalk. In using terrestrial laser scanner, elaborate scanning plan and proper post processing are required to obtain valid and accurate 3D spatial information.

키워드

참고문헌

  1. Amann, M. C., Bosch, T., Lescure, M., Myllyla, R. and Rioux, M., 2001, Laser ranging: a critical review of usual techniques for distance measurement, Optical engineering, Vol. 40, No. 1, pp. 10-19. https://doi.org/10.1117/1.1330700
  2. Cho, H., Hong, S., Kim, S., Park, H., Park, I. and Sohn, H. G., 2015, Application of a terrestrial LiDAR system for elevation mapping in Terra Nova Bay, Antarctica, Sensors, Vol. 15, No. 9, pp. 23514-23535. https://doi.org/10.3390/s150923514
  3. Herbert, M. and Krotkov E., 1992, 3D measurements from imaging laser radars: how good are they?, Image and Vision Computing, Vol. 10, No. 3, pp. 170-178. https://doi.org/10.1016/0262-8856(92)90068-E
  4. Hong, S. H., Cho, H. S., Kim, N. H. and Sohn, H. G., 2015. 3D indoor modeling based on terrestrial laser scanning, Journal of the Korean Society of Civil Engineers, Vol. 35, No. 2, pp. 525-531. https://doi.org/10.12652/Ksce.2015.35.2.0525
  5. Lee, J. S., Hong, S. H., Cho, H. J., Park, I. S., Cho, H. S. and Sohn, H. G., 2015, Accuracy comparison between image-based 3D reconstruction technique and terrestrial LiDAR for as-built BIM of outdoor structures, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 33, No. 6, pp. 557-567. https://doi.org/10.7848/ksgpc.2015.33.6.557
  6. Lichti, D. D., Stuart J. G and Taravudh T, 2005, Error models and propagation in directly georeferenced terrestrial laser scanner networks, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65, No. 1, pp. 93-102. https://doi.org/10.1016/j.isprsjprs.2009.09.002
  7. Lichti, D. D., 2007, Error modelling, calibration and analysis of an AM-CW terrestrial laser scanner system, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 61, No. 5, pp. 307-324. https://doi.org/10.1016/j.isprsjprs.2006.10.004
  8. Lichti, D. D., 2010, Terrestrial laser scanner self-calibration: Correlation sources and their mitigation, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65, No. 1, pp. 93-102. https://doi.org/10.1016/j.isprsjprs.2009.09.002
  9. Park, I. S., 2013, Self-calibration of terrestrial LiDAR for improving 3-D position accuracy, Master's thesis, Yonsei University.
  10. Pesci, A. and Teza, G., 2008. Terrestrial laser scanner and retro-reflective targets: an experiment for anomalous effects investigation, International Journal of Remote Sensing, Vol. 29, No. 19, pp. 5749-5765. https://doi.org/10.1080/01431160802108489
  11. Reshtyuk, Y., 2006, Investigation and calibration of pulsed time-of-flight terrestrial laser scanners, Master dissertation, Royal Institute of Technology (KTH).
  12. Reshetyuk, Y., 2010, A unified approach to self-calibration of terrestrial laser scanners, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 65, No. 5, pp. 445-456. https://doi.org/10.1016/j.isprsjprs.2010.05.005
  13. Schulz, T., 2007, Calibration of a terrestrial laser scanner for engineering geodesy, Doctoral thesis, ETH ZURICH.
  14. Soudarissanane, S., Lindenbergh, R., Menenti, M. and Teunissen, P., 2011, Scanning geometry: Influencing factor on the quality of terrestrial laser scanning points, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66, No. 4, pp. 389-399. https://doi.org/10.1016/j.isprsjprs.2011.01.005
  15. Tang, P., Akinci, B. and Huber, D., 2009, Quantification of edge loss of laser scanned data at spatial discontinuities, Automation in Construction, Vol. 18, No. 8, pp. 1070-1083. https://doi.org/10.1016/j.autcon.2009.07.001
  16. Wunderlich, T., Wasmeier, P., Ohlmann-Lauber, J., Schafer, T. and Reidl, F., 2013, Objective specifications of terrestrial laserscanners-A Contribution of the geodetic laboratory at the Technical University of Munich, Vol. 21, pp. 3-38.