The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLII-2/W13
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 769–776, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-769-2019
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W13, 769–776, 2019
https://doi.org/10.5194/isprs-archives-XLII-2-W13-769-2019

  05 Jun 2019

05 Jun 2019

AN ORIGINAL ALGORITHM FOR BIM GENERATION FROM INDOOR SURVEY POINT CLOUDS

F. Capocchiano1,2 and R. Ravanelli2 F. Capocchiano and R. Ravanelli
  • 1Sapienza School for Advanced Studies, Rome, Italy
  • 2Geodesy and Geomatics Division, DICEA - Sapienza University of Rome, Rome, Italy

Keywords: Building Information Modeling (BIM), scan to BIM, point cloud, indoor mapping

Abstract. Nowadays, it is essential to find new strategies, able to perform the first step of the scan-to-BIM process, by retrieving the geometrical information contained in point clouds that are so easily collected through laser scanners and range cameras. This paper presents a new algorithm for the automatic extraction of the layout and the height of a small indoor environment from its point cloud. In particular, the algorithm was tested on a point cloud of 600000 vertices, selected from the dataset of the ISPRS benchmark on indoor modelling. The preliminary results are encouraging: the 3D shape (layout and height) of the investigated room is effectively reconstructed.