ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 47-53, 2015
http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-2-W2/47/2015/
doi:10.5194/isprsannals-II-2-W2-47-2015
© Author(s) 2015. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
19 Oct 2015
AN AUTOMATED 3D INDOOR TOPOLOGICAL NAVIGATION NETWORK MODELLING
A. Jamali1, A. A. Rahman1, P. Boguslawski2, and C. M. Gold1 1Universiti Teknologi Malaysia (UTM), Faculty of Geoinformation and Real Estate, Malaysia
2University of the West of England Faculty of Environment and Technology, England
Keywords: Indoor Surveying, Automation, 3D Data Modelling, Indoor Navigation, Topology 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.
Conference paper (PDF, 1051 KB)


Citation: Jamali, A., Rahman, A. A., Boguslawski, P., and Gold, C. M.: AN AUTOMATED 3D INDOOR TOPOLOGICAL NAVIGATION NETWORK MODELLING, ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-2/W2, 47-53, doi:10.5194/isprsannals-II-2-W2-47-2015, 2015.

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