DocumentCode :
2116545
Title :
An Image-Based Measurement System for Quality Control in Civil Engineering
Author :
Reiterer, Alexander ; Lehmann, Martin
Author_Institution :
Inst. of Geodesy & Geophys., Vienna Univ. of Technol., Vienna
fYear :
2007
fDate :
27-29 Sept. 2007
Firstpage :
113
Lastpage :
118
Abstract :
In the past, high-precision on-line 3D measuring required artificial targets defining the points on the objects to be monitored. For many tasks like monitoring of displacements of buildings, artificial targets are not desired. Today\´s image assisted measurement systems can perform their measurements even without targeting. Such systems use the texture on the surface of the object to find "interesting points" which can replace the artificial targets. However, well-trained "measurement experts" are required to operate such a measurement system. In order to make such systems easy to use even for non-experts, it can be extended by an appropriate decision system which supports the operator. At the Institute of Geodesy and Geophysics of Vienna University of Technology a new kind of image-based measurement system is to be developed (research project "multi-sensor deformation measurement system supported by knowledge-based and cognitive vision techniques"). This system can be used for measuring, analysing and interpreting deformations for the task of quality control in civil engineering. The workflow is based on new techniques originally developed in the area of artificial intelligence.
Keywords :
artificial intelligence; civil engineering; cognitive systems; quality control; surface texture; Institute of Geodesy and Geophysics; Vienna University of Technology; artificial intelligence; building displacements; civil engineering; cognitive vision techniques; decision system; image-based measurement; multisensor deformation measurement; quality control; surface texture; tasks like monitoring; Artificial intelligence; Civil engineering; Geodesy; Geophysical measurements; Geophysics; Level measurement; Monitoring; Performance evaluation; Quality control; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing and Analysis, 2007. ISPA 2007. 5th International Symposium on
Conference_Location :
Istanbul
ISSN :
1845-5921
Print_ISBN :
978-953-184-116-0
Type :
conf
DOI :
10.1109/ISPA.2007.4383674
Filename :
4383674
Link To Document :
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