Accurate Measurements with Image-Assisted Total Stations and Their Prerequisites
Publication: Journal of Surveying Engineering
Volume 143, Issue 2
Abstract
Video theodolites were used in the 1980s for highly accurate, automated measurements. However, they disappeared from the market and research on these instruments was done by only a few institutions using self-made prototypes. Because of the release of new-generation image-assisted total stations (IATS) by different manufacturers since 2004, these instruments have become relevant again for broader user groups. In this article, different error sources that occur when working with an IATS are assessed. The theoretical origins of these errors are discussed, their dependence on the measurement geometry is worked out, and strategies for avoidance and modeling are provided. In experimental geodetic network measurements, the impact of the different error sources on the results are evaluated. With standard deviations of a few 0.01 mm for the estimated three-dimensional (3D) coordinates, it is demonstrated that the telescope camera of a modern IATS can be used as a highly accurate measurement sensor.
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References
Ahn, S. J., Warnecke, H. J., and Kotowski, R. (1999). “Systematic geometric image measurement errors of circular object targets: Mathematical formulation and correction.” Photogramm. Rec., 16(93), 485–502.
Bürki, B., Guillaume, S., Sorber, P., and Oesch, H. P. (2010). “DAEDALUS: A versatile usable digital clip-on measuring system for total stations.” Proc., Int. Conf. on Indoor Positioning and Indoor Navigation (IPIN), IEEE, New York, 1–10.
Davies, E. R. (2012). Computer and machine vision, 2nd Ed., Academic Press, Boston.
Dold, J. (1996). “Influence of large targets on the results of photogrammetric bundle adjustment.” International Archives of Photogrammetry and Remote Sensing, XXXI, International Society for Photogrammetry and Remote Sensing, Hannover, Germany, 119–123.
Ehrhart, M., and Lienhart, W. (2015a). “Image-based dynamic deformation monitoring of civil engineering structures from long ranges.” Proc., SPIE 9405, Image Processing: Machine Vision Applications VIII, SPIE, Bellingham, WA, 94050J.
Ehrhart, M., and Lienhart, W. (2015b). “Monitoring of civil engineering structures using a state-of-the-art image assisted total station.” J. Appl. Geod., 9(3), 174–182.
Fitzgibbon, A. W., Pilu, M., and Fisher, R. B. (1996). “Direct least squares fitting of ellipses.” Proc., 13th Int. Conf. on Pattern Recognition, Vol. 1, IEEE Computer Society, Washington, DC, 253–257.
Gonzalez, R. C., and Woods, R. E. (2002). Digital image processing, 2nd Ed., Prentice Hall, Upper Saddle River, NJ.
Guillaume, S., Bürki, B., Griffet, S., and Mainaud Durand, H. (2012). “QDaedalus: Augmentation of total stations by CCD sensor for automated contactless high-precision metrology.” FIG Working Week 2012, TS09I–Engineering Surveying, FIG, Copenhagen, Denmark, 1–15.
Hartley, R., and Zisserman, A. (2004). Multiple view geometry in computer vision, 2nd Ed., Cambridge University Press, Cambridge, U.K.
Hauth, S., Schlüter, M., and Thiery, F. (2013). “Schneller und ausdauernder als das menschliche Auge: Modulare Okularkameras am Motortachymeter.” Allg. Verm.-Nachr., 120(6), 210–216 (in German).
Huang, Y. D., and Harley, I. (1989). “Calibration of close-range photogrammetric stations using a free network bundle adjustment.” Proc., Optical 3-D Measurement Techniques, Herbert Wichmann Verlag GmbH, Karlsruhe, Germany, 49–56.
Huertas, A., and Medioni, G. (1986). “Detection of intensity changes with subpixel accuracy using Laplacian-Gaussian masks.” IEEE Trans. Pattern Anal. Mach. Intell., 8(5), 651–664.
Juretzko M., (2004). “Reflektorlose Video-Tachymetrie–ein integrales Verfahren zur Erfassung geometrischer und visueller Informationen.” Ph.D. thesis, Ruhr-Universität Bochum, Bochum, Germany, 122 (in German).
Knoblach, S. (2011). “Entwicklung, Kalibrierung und Erprobung eines kameraunterstützten Hängetachymeters.” Ph.D. thesis, DGK C-655, Technische Univ. Dresden, Dresden, Germany, 146 (in German).
Kraus, K. (2007). Photogrammetry: Geometry from images and laser scans, 2nd Ed., Walter de Gruyter, Berlin.
Leica. (2015). Leica MS60/TS60 user manual, Version 1.0, Leica Geosystems AG, Heerbrugg, Switzerland, 90.
Luhmann, T. (2014). “Eccentricity in images of circular and spherical targets and its impact on spatial intersection.” Photogramm. Rec., 29(148), 417–433.
Reiterer, A., Huber, N. B., and Bauer, A. (2010). “Image-based point detection and matching in a geo-monitoring system.” Allg. Verm.-Nachr., 117(4), 129–139.
Scherer, M. (2007). “Phototachymetrie: Eine Methode zur Bauaufnahme und zur Erstellung eines virtuellen Modells.” Allg. Verm.-Nachr., 114(8–9), 307–313 (in German).
Schirmer, W. (1994). “Universaltheodolit und CCD-Kamera–ein unpersönliches Meßsystem für astronomisch-geodätische Beobachtungen.” Ph.D. thesis, DGK C-427, Technische Univ. München, Munich, Germany, 93 (in German).
Shakarji, C. M. (1998). “Least-squares fitting algorithms of the NIST algorithm testing system.” J. Res. Nat. Inst. Stand. Technol., 103(6), 633–641.
Snyder, J. P. (1987). “Map projections—A working manual.” Paper 1395, U. S. Geological Survey, U.S. Government Printing Office, Washington, DC.
Topcon. (2016). “IS-3 imaging station brochure.” Topcon Corporation, Livermore, CA, 4.
Tuytelaars, T., and Mikolajczyk, K. (2008). “Local invariant feature detectors: A survey.” Found. Trends Comput. Graphics Vision, 3(3), 177–280.
Wagner, A., Wasmeier, P., Reith, C., and Wunderlich, T. (2013). “Bridge monitoring by means of video-tacheometer–A case study.” Allg. Verm.-Nachr., 120(8–9), 283–292.
Wagner, A., Wasmeier, P., Wunderlich, T., and Ingensand, H. (2014). “Vom selbstzielenden Theodolit zur Image Assisted Total Station.” Allg. Verm.-Nachr., 121(5), 171–180 (in German).
Walser, B. (2004). “Development and calibration of an image assisted total station.” Ph.D. thesis, Blaue Reihe 87, Swiss Federal Institute of Technology, Zurich, Switzerland, 168.
Wasmeier, P. (2009). “Grundlagen der Deformationsbestimmung mit Messdaten bildgebender Tachymeter.” Ph.D. thesis, DGK C-638, Technische Univ. München, Munich, Germany, 149 (in German).
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© 2016 American Society of Civil Engineers.
History
Received: Mar 24, 2016
Accepted: Jun 8, 2016
Published online: Aug 3, 2016
Discussion open until: Jan 3, 2017
Published in print: May 1, 2017
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