The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 215–221, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-215-2021
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 215–221, 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-215-2021

  28 Jun 2021

28 Jun 2021

AUTOMATIC SEGMENTATION OF POINT CLOUDS IN THE ARCHITECTURE ENVIRONMENT

R. Romero-Jarén1, J. J. Arranz1, L. Navas-Sánchez2, E. Erduran3, S. Martínez-Cuevas1, and B. Benito1 R. Romero-Jarén et al.
  • 1Escuela Técnica Superior de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, Spain
  • 2Escuela Técnica Superior de Arquitectura de Madrid, Universidad Politécnica de Madrid, Spain
  • 3Department of Civil Engineering and Energy Technology, Oslo Metropolitan University, Norway

Keywords: LiDAR, Mobile Mapping System, Point cloud, Automation, Building Information Models

Abstract. Correct and reliable identification and classification of different structures and infrastructures that make up a city (e.g. residential buildings, school buildings, hospitals, power stations, routes of communication, etc.) are of great importance for the AEC/FM (Architecture, Engineering, Construction, and Facilities Management) domain and for seismic risk assessments, among others. For decades, the method of collecting buildings information has been through field campaigns. This practice requires significant resources in terms of qualified engineers or architects to identify the geometry of the different elements that constitute the structure, building materials and construction processes. Nowadays, there are different geospatial techniques that allow data acquisition on a massive scale in a short period of time. In particular, by means of laser measurements, it is possible to have clouds of millions of points with geometric and radiometric information in a matter of seconds. In this article, we present ABM-indoor, a LIDAR-based approach that automatically provides a three-dimensional models of buildings in vector format. Models include floors, ceilings, walls (up to five dominant directions), columns, elements located on floors and elements hanging from ceilings. Efforts are underway to transfer this model to a Building Information Model (BIM).