EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS

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...

Full description

Bibliographic Details
Main Authors: H. Tran, K. Khoshelham, A. Kealy, L. Díaz-Vilariño
Format: Article
Language:English
Published: Copernicus Publications 2017-09-01
Series:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Online Access:https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/401/2017/isprs-annals-IV-2-W4-401-2017.pdf
_version_ 1818535114056925184
author H. Tran
K. Khoshelham
A. Kealy
A. Kealy
L. Díaz-Vilariño
L. Díaz-Vilariño
author_facet H. Tran
K. Khoshelham
A. Kealy
A. Kealy
L. Díaz-Vilariño
L. Díaz-Vilariño
author_sort H. Tran
collection DOAJ
description 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.
first_indexed 2024-12-11T18:20:31Z
format Article
id doaj.art-531ffa9e7b99496fb53bda98cda21caf
institution Directory Open Access Journal
issn 2194-9042
2194-9050
language English
last_indexed 2024-12-11T18:20:31Z
publishDate 2017-09-01
publisher Copernicus Publications
record_format Article
series ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
spelling doaj.art-531ffa9e7b99496fb53bda98cda21caf2022-12-22T00:55:16ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502017-09-01IV-2-W440140610.5194/isprs-annals-IV-2-W4-401-2017EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDSH. Tran0K. Khoshelham1A. Kealy2A. Kealy3L. Díaz-Vilariño4L. Díaz-Vilariño5Department of Infrastructure Engineering, University of Melbourne, Parkville 3010, AustraliaDepartment of Infrastructure Engineering, University of Melbourne, Parkville 3010, AustraliaDepartment of Infrastructure Engineering, University of Melbourne, Parkville 3010, AustraliaSchool of Science, RMIT University, VIC 3001, AustraliaApplied Geotechnologies Group, Dept. Natural Resources and Environmental Engineering, University of Vigo, Campus Lagoas-Marcosende, CP 36310 Vigo, SpainTU Delft – Faculty of Architecture, OTB, section GIS Technology, Delft, the Netherlands3D 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.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/401/2017/isprs-annals-IV-2-W4-401-2017.pdf
spellingShingle H. Tran
K. Khoshelham
A. Kealy
A. Kealy
L. Díaz-Vilariño
L. Díaz-Vilariño
EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
title EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
title_full EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
title_fullStr EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
title_full_unstemmed EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
title_short EXTRACTING TOPOLOGICAL RELATIONS BETWEEN INDOOR SPACES FROM POINT CLOUDS
title_sort extracting topological relations between indoor spaces from point clouds
url https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/IV-2-W4/401/2017/isprs-annals-IV-2-W4-401-2017.pdf
work_keys_str_mv AT htran extractingtopologicalrelationsbetweenindoorspacesfrompointclouds
AT kkhoshelham extractingtopologicalrelationsbetweenindoorspacesfrompointclouds
AT akealy extractingtopologicalrelationsbetweenindoorspacesfrompointclouds
AT akealy extractingtopologicalrelationsbetweenindoorspacesfrompointclouds
AT ldiazvilarino extractingtopologicalrelationsbetweenindoorspacesfrompointclouds
AT ldiazvilarino extractingtopologicalrelationsbetweenindoorspacesfrompointclouds