Abstract / Description of output
Evaluating flatness defects in surfaces during the construction of a building can avoid forthcoming problems during follow-on construction tasks or the operation stage. An area of particular interest is that of the flatness of warehouse slabs on which pallet-transporting machinery (nowadays including robots) are operated. Flatness control has typically been done with manual methods, such as the Straightedge, F-Numbers or Waviness Index methods. However, these are time consuming, based on very sparse measurements, and conduct assessment in linear ways only (i.e. in 1D, not in 2D), which can lead to inaccurate assessment. The paper presents a novel approach that takes advantage of (1) Terrestrial Laser Scanners (TLS) to speed up the data acquisition and provide precise and dense 3D measurements of surfaces; and (2) the 2D Continuous Wavelet Transform (CWT) to deliver a 2D wavelength analysis of surface data with high resolution both spatially and in the frequency domain. The value of the proposed method over existing approach is demonstrated with a first experiment conducted with a real concrete slab.
Original language | English |
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Title of host publication | International Symposium on Automation and Robotics in Construction (ISARC) |
Publisher | International Association for Automation and Robotics in Construction |
Pages | 50-58 |
Number of pages | 9 |
DOIs | |
Publication status | Published - Jul 2016 |