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.
|Title of host publication||Proc. International Conference on Computer Vision Theory and Applications (VISAPP)|
|Place of Publication||Porto, Portugal|
|Publication status||Published - 1 Feb 2017|
|Event||International Conference on Computer Vision Theory and Applications - Porto, Portugal|
Duration: 27 Feb 2017 → 1 Mar 2017
|Conference||International Conference on Computer Vision Theory and Applications|
|Period||27/02/17 → 1/03/17|
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.