Measuring Human-made Corner Structures With a Robotic Total Station using Support Points, Lines and Planes

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

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.
Originalspracheenglisch
TitelProc. International Conference on Computer Vision Theory and Applications (VISAPP)
ErscheinungsortPorto, Portugal
PublikationsstatusVeröffentlicht - 1 Feb 2017
VeranstaltungInternational Conference on Computer Vision Theory and Applications - Porto, Portugal
Dauer: 27 Feb 20171 Mär 2017

Konferenz

KonferenzInternational Conference on Computer Vision Theory and Applications
KurztitelVISAPP
LandPortugal
OrtPorto
Zeitraum27/02/171/03/17

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Robotics
Systematic errors
User interfaces
Laser beams
Processing
Experiments

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Klug, C., Schmalstieg, D., & Arth, C. (2017). Measuring Human-made Corner Structures With a Robotic Total Station using Support Points, Lines and Planes. in Proc. International Conference on Computer Vision Theory and Applications (VISAPP) Porto, Portugal.

Measuring Human-made Corner Structures With a Robotic Total Station using Support Points, Lines and Planes. / Klug, Christoph; Schmalstieg, Dieter; Arth, Clemens.

Proc. International Conference on Computer Vision Theory and Applications (VISAPP). Porto, Portugal, 2017.

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandForschungBegutachtung

Klug, C, Schmalstieg, D & Arth, C 2017, Measuring Human-made Corner Structures With a Robotic Total Station using Support Points, Lines and Planes. in Proc. International Conference on Computer Vision Theory and Applications (VISAPP). Porto, Portugal, Porto, Portugal, 27/02/17.
Klug C, Schmalstieg D, Arth C. Measuring Human-made Corner Structures With a Robotic Total Station using Support Points, Lines and Planes. in Proc. International Conference on Computer Vision Theory and Applications (VISAPP). Porto, Portugal. 2017
Klug, Christoph ; Schmalstieg, Dieter ; Arth, Clemens. / Measuring Human-made Corner Structures With a Robotic Total Station using Support Points, Lines and Planes. Proc. International Conference on Computer Vision Theory and Applications (VISAPP). Porto, Portugal, 2017.
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