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

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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.
Original languageEnglish
Title of host publicationProc. International Conference on Computer Vision Theory and Applications (VISAPP)
Place of PublicationPorto, Portugal
Publication statusPublished - 1 Feb 2017
EventInternational Conference on Computer Vision Theory and Applications - Porto, Portugal
Duration: 27 Feb 20171 Mar 2017

Conference

ConferenceInternational Conference on Computer Vision Theory and Applications
Abbreviated titleVISAPP
CountryPortugal
CityPorto
Period27/02/171/03/17

Fingerprint

Robotics
Systematic errors
User interfaces
Laser beams
Processing
Experiments

Cite this

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.

Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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, International Conference on Computer Vision Theory and Applications, 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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