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A hybrid 3D indoor space model

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

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Authors

Ali Jamali

Alias Abdul Rahman



Contributors

U Isikdag
Editor

A Abdul Rahman
Editor

F A Castro
Editor

I R Karas
Editor

Abstract

GIS integrates spatial information and spatial analysis. An important example of such integration is for emergency response which requires route planning inside and outside of a building. Route planning requires detailed information related to indoor and outdoor environment. Indoor navigation network models including Geometric Network Model (GNM), Navigable Space Model, sub-division model and regular-grid model lack indoor data sources and abstraction methods. In this paper, a hybrid indoor space model is proposed. In the proposed method, 3D modeling of indoor navigation network is based on surveying control points and it is less dependent on the 3D geometrical building model. This research proposes a method of indoor space modeling for the buildings which do not have proper 2D/3D geometrical models or they lack semantic or topological information. The proposed hybrid model consists of topological, geometrical and semantical space.

Citation

Jamali, A., Abdul Rahman, A., & Boguslawski, P. (2016, October). A hybrid 3D indoor space model. Paper presented at 3rd International GeoAdvances Workshop, Istanbul, Turkey

Presentation Conference Type Conference Paper (unpublished)
Conference Name 3rd International GeoAdvances Workshop
Conference Location Istanbul, Turkey
Start Date Oct 16, 2016
End Date Oct 17, 2016
Acceptance Date Aug 10, 2016
Publication Date Jan 1, 2016
Deposit Date Oct 31, 2016
Publicly Available Date Nov 3, 2016
Peer Reviewed Peer Reviewed
Pages 75-80
Keywords 3D data modeling, indoor navigation, topology
Public URL https://uwe-repository.worktribe.com/output/920120
Publisher URL http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W1/75/2016/
Additional Information Title of Conference or Conference Proceedings : International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLII-2/W1, 2016

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