"Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation
Over the past few years Personal Navigation Systems have become an established tool for route planning, but they are mainly designed for outdoor environments. Indoor navigation is still a challenging research area for several reasons: positioning is not very accurate, users can freely move between t...
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Format: | Article |
Language: | English |
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Copernicus Publications
2014-04-01
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Series: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
Online Access: | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-4/45/2014/isprsannals-II-4-45-2014.pdf |
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author | F. Mortari S. Zlatanova L. Liu E. Clementini |
author_facet | F. Mortari S. Zlatanova L. Liu E. Clementini |
author_sort | F. Mortari |
collection | DOAJ |
description | Over the past few years Personal Navigation Systems have become an established tool for route planning, but they are mainly
designed for outdoor environments. Indoor navigation is still a challenging research area for several reasons: positioning is not very
accurate, users can freely move between the interior boundaries of buildings, path network construction process may not be easy and
straightforward due to complexity of indoor space configurations. Therefore the creation of a good network is essential for deriving
overall connectivity of a building and for representing position of objects within the environment. This paper reviews current
approaches to automatic derivation of route graphs for indoor navigation and discusses some of their limitations. Then, it introduces
a novel algorithmic strategy for extracting a 3D connectivity graph for indoor navigation based on 2D floor plans. |
first_indexed | 2024-12-13T02:04:49Z |
format | Article |
id | doaj.art-c41cfdca2b734801a08418d8d44654f9 |
institution | Directory Open Access Journal |
issn | 2194-9042 2194-9050 |
language | English |
last_indexed | 2024-12-13T02:04:49Z |
publishDate | 2014-04-01 |
publisher | Copernicus Publications |
record_format | Article |
series | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
spelling | doaj.art-c41cfdca2b734801a08418d8d44654f92022-12-22T00:03:10ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502014-04-01II-4455110.5194/isprsannals-II-4-45-2014"Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor NavigationF. Mortari0S. Zlatanova1L. Liu2E. Clementini3Department of Information Engineering, Computer Science and Mathematics, University of L'Aquila, Via Vetoio, 67100 L'Aquila, ItalyGIS Technology, OTB Research Institute for the Built Environment, Delft University of Technology, Jaffalaan 9, 2628 BX Delft, The NetherlandsGIS Technology, OTB Research Institute for the Built Environment, Delft University of Technology, Jaffalaan 9, 2628 BX Delft, The NetherlandsDepartment of Industrial and Information Engineering and Economics, University of L'Aquila, Via G. Gronchi 18, 67100 L'Aquila, ItalyOver the past few years Personal Navigation Systems have become an established tool for route planning, but they are mainly designed for outdoor environments. Indoor navigation is still a challenging research area for several reasons: positioning is not very accurate, users can freely move between the interior boundaries of buildings, path network construction process may not be easy and straightforward due to complexity of indoor space configurations. Therefore the creation of a good network is essential for deriving overall connectivity of a building and for representing position of objects within the environment. This paper reviews current approaches to automatic derivation of route graphs for indoor navigation and discusses some of their limitations. Then, it introduces a novel algorithmic strategy for extracting a 3D connectivity graph for indoor navigation based on 2D floor plans.http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-4/45/2014/isprsannals-II-4-45-2014.pdf |
spellingShingle | F. Mortari S. Zlatanova L. Liu E. Clementini "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
title | "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation |
title_full | "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation |
title_fullStr | "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation |
title_full_unstemmed | "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation |
title_short | "Improved Geometric Network Model" (IGNM): a novel approach for deriving Connectivity Graphs for Indoor Navigation |
title_sort | improved geometric network model ignm a novel approach for deriving connectivity graphs for indoor navigation |
url | http://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-4/45/2014/isprsannals-II-4-45-2014.pdf |
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