Extracting topological relations between indoor spaces from point clouds

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

doi:10.5194/isprs-annals-IV-2-W4-401-2017

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 volume › Conference contribution › Scientific › peer-review

26 Citations (Scopus)

80 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 language	English
Title of host publication	ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publisher	ISPRS
Pages	401-406
Volume	IV-2/W4
DOIs	https://doi.org/10.5194/isprs-annals-IV-2-W4-401-2017
Publication status	Published - 2017
Event	ISPRS Geospatial Week 2017 - Wuhan, China Duration: 18 Sept 2017 → 22 Sept 2017 http://www.isprs.org/documents/geoweek.aspx

Conference

Conference	ISPRS Geospatial Week 2017
Country/Territory	China
City	Wuhan
Period	18/09/17 → 22/09/17
Internet address	http://www.isprs.org/documents/geoweek.aspx

Keywords

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

Access to Document

10.5194/isprs-annals-IV-2-W4-401-2017

isprs-annals-IV-2-W4-401-2017Final published version, 1.28 MBLicence: CC BY

Cite this

@inproceedings{845fb26046e6490a93dd2284d327114d,

title = "Extracting topological relations between indoor spaces from point clouds",

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.",

keywords = "Building Information Model (BIM), Indoor modelling, Indoor navigation, Point cloud, Shape grammar, Topology",

author = "H. Tran and K. Khoshelham and A. Kealy and L. D{\'i}az-Vilari{\~n}o",

year = "2017",

doi = "10.5194/isprs-annals-IV-2-W4-401-2017",

language = "English",

volume = "IV-2/W4",

pages = "401--406",

booktitle = "ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences",

publisher = "ISPRS",

note = "ISPRS Geospatial Week 2017 ; Conference date: 18-09-2017 Through 22-09-2017",

url = "http://www.isprs.org/documents/geoweek.aspx",

}

TY - GEN

T1 - Extracting topological relations between indoor spaces from point clouds

AU - Tran, H.

AU - Khoshelham, K.

AU - Kealy, A.

AU - Díaz-Vilariño, L.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Building Information Model (BIM)

KW - Indoor modelling

KW - Indoor navigation

KW - Point cloud

KW - Shape grammar

KW - Topology

UR - http://www.scopus.com/inward/record.url?scp=85030990973&partnerID=8YFLogxK

U2 - 10.5194/isprs-annals-IV-2-W4-401-2017

DO - 10.5194/isprs-annals-IV-2-W4-401-2017

M3 - Conference contribution

VL - IV-2/W4

SP - 401

EP - 406

BT - ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences

PB - ISPRS

T2 - ISPRS Geospatial Week 2017

Y2 - 18 September 2017 through 22 September 2017

ER -

Extracting topological relations between indoor spaces from point clouds

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this