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An automated 3D indoor topological navigation network modelling

Jamali, Ali; Abdul Rahman, Alias; Boguslawski, Pawel; Gold, Christopher

An automated 3D indoor topological navigation network modelling Thumbnail


Authors

Ali Jamali

Alias Abdul Rahman

Pawel Boguslawski

Christopher Gold



Abstract

Indoor navigation is important for various applications such as disaster management and safety analysis. In the last decade, indoor environment has been a focus of wide research; that includes developing techniques for acquiring indoor data (e.g. Terrestrial laser scanning), 3D indoor modelling and 3D indoor navigation models. In this paper, an automated 3D topological indoor network generated from inaccurate 3D building models is proposed. In a normal scenario, 3D indoor navigation network derivation needs accurate 3D models with no errors (e.g. gap, intersect) and two cells (e.g. rooms, corridors) should touch each other to build their connections. The presented 3D modeling of indoor navigation network is based on surveying control points and it is less dependent on the 3D geometrical building model. For reducing time and cost of indoor building data acquisition process, Trimble LaserAce 1000 as surveying instrument is used. The modelling results were validated against an accurate geometry of indoor building environment which was acquired using Trimble M3 total station.

Citation

Jamali, A., Abdul Rahman, A., Boguslawski, P., & Gold, C. (2015, October). An automated 3D indoor topological navigation network modelling. Paper presented at Joint International Geoinformation Conference 2015, Kuala Lumpur, Malaysia

Presentation Conference Type Conference Paper (unpublished)
Conference Name Joint International Geoinformation Conference 2015
Conference Location Kuala Lumpur, Malaysia
Start Date Oct 28, 2015
End Date Oct 30, 2015
Publication Date Oct 1, 2015
Deposit Date Nov 9, 2015
Publicly Available Date Feb 9, 2016
Peer Reviewed Peer Reviewed
Pages 47-53
Keywords indoor surveying, automation, 3D data modelling, indoor navigation, topology
Public URL https://uwe-repository.worktribe.com/output/1434091
Publisher URL http://dx.doi.org/10.5194/isprsannals-II-2-W2-47-2015
Additional Information Title of Conference or Conference Proceedings : ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume II-2/W2, 2015

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