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Two-graph building interior representation for emergency response applications

Boguslawski, Pawel; Mahdjoubi, Lamine; Zverovich, Vadim; Fadli, F.

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Authors

F. Fadli



Abstract

Nowadays, in a rapidly developing urban environment with bigger and higher public buildings, disasters causing emergency situations and casualties are unavoidable. Preparedness and quick response are crucial issues saving human lives. Available information about an emergency scene, such us building structure, helps for decision-making and organizing rescue operations. Models supporting decision-making should be available in real, or near-real, time. Thus, good quality models that allow implementation of automated methods are highly desirable. This paper presents details of the recently developed method for automated generation of variable density navigable networks in a 3D indoor environment, including full 3D topological model, which may be used not only for standard navigation but also for finding safe routes and simulating hazard and phenomena associated with disasters such as fire spread and heat transfer.

Citation

Boguslawski, P., Mahdjoubi, L., Zverovich, V., & Fadli, F. (2016, July). Two-graph building interior representation for emergency response applications. Paper presented at XXIII ISPRS Congress 2016, Prague, Czech Republic

Presentation Conference Type Conference Paper (unpublished)
Conference Name XXIII ISPRS Congress 2016
Conference Location Prague, Czech Republic
Start Date Jul 12, 2016
End Date Jul 19, 2016
Acceptance Date Mar 10, 2016
Publication Date Jul 12, 2016
Deposit Date Dec 10, 2015
Publicly Available Date Jul 4, 2016
Peer Reviewed Peer Reviewed
Keywords indoor navigation, emergency response, 3D modelling, data models, topological models, spatial analysis
Public URL https://uwe-repository.worktribe.com/output/909814
Publisher URL http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/III-2/9/2016/
Additional Information Title of Conference or Conference Proceedings : ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-2

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