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

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

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
Veranstaltung12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications: VISIGRAPP 2017/VISAPP 2017 - Porto, Portugal
Dauer: 27 Feb 20171 Mär 2017
Konferenznummer: 12
http://www.grapp.visigrapp.org/?y=2017

Konferenz

Konferenz12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
KurztitelVISIGRAPP
LandPortugal
OrtPorto
Zeitraum27/02/171/03/17
Internetadresse

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