Extracting topological relations between indoor spaces from point clouds

H. Tran, K. Khoshelham, A. Kealy, L. Díaz-Vilariño

    Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

    19 Citations (Scopus)
    53 Downloads (Pure)

    Abstract

    3D models of indoor environments are essential for many application domains such as navigation guidance, emergency management and a range of indoor location-based services. The principal components defined in different BIM standards contain not only building elements, such as floors, walls and doors, but also navigable spaces and their topological relations, which are essential for path planning and navigation. We present an approach to automatically reconstruct topological relations between navigable spaces from point clouds. Three types of topological relations, namely containment, adjacency and connectivity of the spaces are modelled. The results of initial experiments demonstrate the potential of the method in supporting indoor navigation.

    Original languageEnglish
    Title of host publicationISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
    PublisherISPRS
    Pages401-406
    VolumeIV-2/W4
    DOIs
    Publication statusPublished - 2017
    EventISPRS Geospatial Week 2017 - Wuhan, China
    Duration: 18 Sep 201722 Sep 2017
    http://www.isprs.org/documents/geoweek.aspx

    Conference

    ConferenceISPRS Geospatial Week 2017
    CountryChina
    CityWuhan
    Period18/09/1722/09/17
    Internet address

    Keywords

    • Building Information Model (BIM)
    • Indoor modelling
    • Indoor navigation
    • Point cloud
    • Shape grammar
    • Topology

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