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Line based reconstruction from terrestrial laser scanning data Christian Briese and Norbert Pfeifer Abstract. The methods for reconstructing objects from dense point clouds, typically acquired by terres- trial laser scanning (TLS), are currently unsatisfying, especially from a geodetic perspective, for a number of reasons. Digitization in the point cloud lacks re- dundancy and no stochastic measures are provided generally. Reconstruction from primitives, e.g., planes, spheres, and cylinders, enforces strong re- quirements on (large) object parts, which are

1 Introduction Terrestrial laser scanning has become a common tool for deformation and displacement measurements in the geodetic field. In order to guarantee the quality of measurements and to get realistic deformation and analysis results, it is essential to be aware of all error sources and their impact on the measurements. A synthetic covariance matrix for terrestrial laser scanning is necessary in order to model the impacts of the main error sources on the variances and the covariances and correlations respectively within point clouds. These correlations

A correlation based target finder for terrestrial laser scanning Thomas Abmayr, Franz Härtl, Gerd Hirzinger, Darius Burschka and Christoph Fröhlich Abstract. Many calibration and registration meth- ods for optical sensors require highly accurate and robust detection of markers. To date, many di¤erent approaches for detecting markers have been devel- oped. However, all of these share certain disadvan- tages, depending on the optical sensor and their application. We have developed a novel approach for high-accuracy target point detection based on normed cross

DOI 10.1515/jag-2013-0014 | Journal of Applied Geodesy 2014; 8 (1):87–96 Technical Report Yuriy Reshetyuk* and Stig-Göran Mårtensson Terrestrial laser scanning for detection of landll gas: a pilot study Abstract:Methane built up in landlls as a result of break- ing down of organic materials can be a renewable energy source if it is taken advantage of. The aim of research pre- sented in this paper is to detect landll gas (that contains methane) by means of terrestrial laser scanning. The hy- pothesis is that where no surface leakage has been re- ported, the landll

, G. (2009a): Algorithms for stem mapping by means of Terrestrial Laser Scanning. Acta Silvatica et Lignaria Hungarica 5: 119-130. BROLLY, G. - KIRÁLY, G. (2009b): Lézeres letapogatás feldolgozása erdei környezetben. [Processing laser scans over forested environment.] In: Lakatos, F. - Kui, B. (eds.): Nyugat-magyarországi Egyetem, Erdőmérnöki Kar: Kari Tudományos Konferencia Kiadvány. Sopron. 12 October 2009. 29-34. (in Hungarian) BROLLY, G. (2013): Locating and parameter retrieval of individual trees from terrestrial laser scanner data. Ph.D. dissertation

structures, Materiały XII Międzynarodowej Konferencji Technicznej Kontroli Zapór / XII International Conference Technical Control od Dams, ss. 241-255, Stare Jabłonki, Poland, 2007, ISBN 976-83-88897-88-7 Popielski P., Zaczek-Peplinska J. (2013): Utilisation of terrestrial laser scanning for verification of geometry of numerical models of hydrotechnical structures using the example of a section of the concrete Besko dam. Accepted article for Technical Transactions, series Environmental Engineering, Cracow University of Technology Press, 2013. Zienkiewicz O. C, Taylor R. L

frequently employed these days. 1.2 Laser scanning technology Laser scanning technology can be distinguished into two categories: Terrestrial Laser Scanning (TLS) and Airbone Laser Scanning (ALS). The appropriate technique is chosen, depending on the type of report and research; however, each can be used in surface research, landslide research and engineering object measurements. Due to the different nature of data in TLS and ALS, this article concentrates on using data from TLS. TLS is used in many fields, including engineering surveying [ 7 ] and recent developments show

/5/2017]. Available on: < >. [5] Zoller+Fröhlich GmbH [online]. Z+F IMAGER® 5006EX [cited 12/6/2016]. Available on: < >. [6] Ergün, B. (2011): Terrestrial Laser Scanning Data, Integration in Surveying Engineering. In: Laser Scanning, Theory and Applications, Wang, C.C. (ed.). In-Tech, pp. 473-494. [7] Al-Manasir, K., Fraser, C.S. (2006): Registration of terrestrial laser scanner data using imagery. In: Proceedings of the ASPRS 2006 Annual Conference, Reno, Nevada, 1–5 May 2006; 9

J. Appl. Geodesy, Vol. 6 (2012), pp. 187–192 Copyright © 2012 De Gruyter. DOI 10.1515/jag-2012-0025 On the detection of systematic errors in terrestrial laser scanning data Jin Wang,1; Hansjoerg Kutterer2 and Xing Fang3 1 Leibniz Universität, Hannover, Germany 2 Bundesamt für Kartographie und Geodäsie, Frankfurt am Main, Germany 3 Wuhan University, Wuhan, P. R. China Abstract. Quality descriptions are parts of the key tasks of geodetic data processing. Systematic errors should be detected and avoided in order to insure the high quality stan- dards required by

Reference [1] Abellan A., Jaboyedoff M., Oppikofer T., Vilaplana J.M., Detection of millimetric deformation using a terrestrial laser scanner: Experiment and application to a rockfall event , Nat Hazards Earth Syst Sci., 03/17, 9(2), 2009, 365–372. [2] Brasington J., Vericat D., Rychkov I., Modeling river bed morphology, roughness, and surface sedimentology using high resolution terrestrial laser scanning , Water Resources Research, 2012, 48(11). [3] Markiewicz J., Kowalczyk M., Podlasiak P., Krzysztof B., Zawieska D., Bujakiewicz A., Andrzejewska E., Analiza