The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLVI-5/W1-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5/W1-2022, 69–76, 2022
https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-69-2022
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVI-5/W1-2022, 69–76, 2022
https://doi.org/10.5194/isprs-archives-XLVI-5-W1-2022-69-2022

  03 Feb 2022

03 Feb 2022

DIGITISATION IN ROAD CONSTRUCTION: AUTOMATION OF AS-BUILT MODELS

H. De Winter, M. Bassier, and M. Vergauwen H. De Winter et al.
  • Dept. of Civil Engineering, TC Construction – Geomatics, KU Leuven – Faculty of Engineering Technology, Ghent, Belgium

Keywords: Road Construction, BIM, RTK-drone, Linked Data, Photogrammetry, Information Extraction

Abstract. The construction industry is still one of the least digitised sectors worldwide and digitisation in the road construction sector in particular is even more dire. To improve the efficiency of the sector, it is of the utmost importance that construction monitoring tasks, i.e. progress, quality and quantity analyses, are automated. The goal of the presented framework is the automation of the following three vital interconnected subjects: (1) The systematic capture of remote sensing data with low-cost UAVs, (2) the information extraction from survey data and (3) the interlinking and exchange of interoperable BIM data (design, survey and extracted information) using Linked Data technologies. In this paper, the needed data for proper road construction digitisation and the desired data structure is discussed. Additionally, the automation of Real Time Kinematic (RTK)-flight processing is presented. The feasibility of the proposed workflow is examined based on real-life test cases. As a consequence of automation, the homogeneity of data across projects will increase. This will form the basis for further automation in road construction.