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Authors: Christoph Klug ; Dieter Schmalstieg and Clemens Arth

Affiliation: Graz University of Technology, Austria

ISBN: 978-989-758-227-1

Keyword(s): Robotic Total Station, Reflectorless Electrical Distance Measurement.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Computer Vision, Visualization and Computer Graphics ; Enterprise Information Systems ; Geometry and Modeling ; Human and Computer Interaction ; Human-Computer Interaction ; Image-Based Modeling ; Mobile Imaging ; Pattern Recognition ; Software Engineering

Abstract: Measuring non-planar targets with a total station in reflectorless mode is a challenging and error-prone task. Any accurate 3D point measurement requires a fully reflected laser beam of the electronic distance meter and proper orientation of the pan-tilt unit. Prominent structures like corners and edges often cannot fulfill these requirements and cannot be measured reliably. We present three algorithms and user interfaces for simple and efficient construction-side measurement corrections of the systematic error, using additional measurements close to the non-measurable target. Post-processing of single-point measurements is not required with our methods, and our experiments prove that using a 3D point, a 3D line or a 3D plane support can lower the systematic error by almost a order of magnitude.

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Paper citation in several formats:
Klug, C.; Schmalstieg, D. and Arth, C. (2017). Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes.In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017) ISBN 978-989-758-227-1, pages 17-27. DOI: 10.5220/0006096800170027

@conference{visapp17,
author={Christoph Klug. and Dieter Schmalstieg. and Clemens Arth.},
title={Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017)},
year={2017},
pages={17-27},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006096800170027},
isbn={978-989-758-227-1},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 6 VISAPP: VISAPP, (VISIGRAPP 2017)
TI - Measuring Human-made Corner Structures with a Robotic Total Station using Support Points, Lines and Planes
SN - 978-989-758-227-1
AU - Klug, C.
AU - Schmalstieg, D.
AU - Arth, C.
PY - 2017
SP - 17
EP - 27
DO - 10.5220/0006096800170027

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