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Generation of navigation graphs for indoor space

Generation of navigation graphs for indoor space

Yang, Liping and Worboys, Michael (2015) Generation of navigation graphs for indoor space. International Journal of Geographical Information Science, 29 (10). pp. 1737-1756. ISSN 1365-8816 (Print), 1365-8824 (Online) (doi:https://doi.org/10.1080/13658816.2015.1041141)

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Abstract

This article proposes a comprehensive approach to computing a navigation graph for an indoor space. It focuses on a single floor, but the work is easily extensible to multi-level spaces. The approach proceeds by using a formal model, based on the combinatorial map but enhanced with geometric and semantic information. The process is almost fully automatic, taking as input the building plans providing the geometric structure of the floors and semantics of the building, such as functions of interior spaces, portals, etc. One of the novel aspects in this work was the use of combinatorial maps and their duals to provide a compact formal description of the topology and connectivity of the indoor structure represented by a connected, embedded graph. While making use of existing libraries for the more routine computational geometry involved, the research develops several new algorithms, including one for computing the local kernel of a region. The process is evaluated by means of a case study using part of a university building.

Item Type: Article
Additional Information: This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Geographical Information Science in May 2015, available online: http://wwww.tandfonline.com/10.1080/13658816.2015.1041141
Uncontrolled Keywords: Navigation graph, Combinatorial map, Algorithm, Topology, Geometry, Semantics, Indoor space
Subjects: G Geography. Anthropology. Recreation > GA Mathematical geography. Cartography
Faculty / Department / Research Group: Faculty of Architecture, Computing & Humanities
Faculty of Architecture, Computing & Humanities > Department of Mathematical Sciences
Last Modified: 17 May 2019 10:25
Selected for GREAT 2016: None
Selected for GREAT 2017: GREAT a
Selected for GREAT 2018: None
Selected for GREAT 2019: GREAT 1
URI: http://gala.gre.ac.uk/id/eprint/13719

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