System Considerations of an Image Assisted Total Station - Evaluation and Assessment
Document type:
Zeitschriftenaufsatz
Author(s):
Reiterer, Alexander; Wagner, Andreas
Abstract:
To close the gap between existing low-resolution, medium-accuracy sensors and conventional (co-operative target-based) surveying systems, Image Assisted Total Stations are a promising solution. The combination of image-based measurement methods with a motorized total station enables the development of a highly accurate and fully-automated point detection system. The study at hand evaluates this new multi-sensor system with regard to the image components. The evaluation includes a comparison of different image-based measurement methods, an investigation regarding the precision, an assessment of target/object size and rotation, and a long-time stability test. An estimation of the potential of Image Assisted Total Stations for the future completes this study resulting in a broad overview of these new measurement systems.
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To close the gap between existing low-resolution, medium-accuracy sensors and conventional (co-operative target-based) surveying systems, Image Assisted Total Stations are a promising solution. The combination of image-based measurement methods with a motorized total station enables the development of a highly accurate and fully-automated point detection system. The study at hand evaluates this new multi-sensor system with regard to the image components. The evaluation includes a comparison of d...
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Keywords:
Image Assisted Total Station, Image Point Detection, Edge Detection, Template Matching