Supporting contexts for indoor navigation using a multilayered space model

T. Becker, C. Nagel, T. H. Kolbe

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

39 Scopus citations

Abstract

Indoor navigation highly depends on context and requires flexible data structures to support the many use cases and configurations. For example, an indoor navigation system must cope with different localisation techniques, infrastructures, and capabilities of mobile devices. lso physical constraints from the built-up environment, different modes of navigation (like walking, driving, or flying), and thematic restrictions like security zones have to be considered. In this paper we propose a novel modelling framework for indoor navigation which considers the aspects of route planning for different modes of navigation on the one hand and of various localisation techniques on the other hand. It is based on a structured and multilayered space model in which every type of physical or logical aspect is mapped within its own space layer. It is shown how layers can be combined according to concrete navigation contexts to build an npartite graph facilitating both route planning and localisation.

Original languageEnglish
Title of host publicationProceedings - 2009 10th International Conference on Mobile Data Management
Subtitle of host publicationSystems, Services and Middleware, MDM 2009
Pages680-685
Number of pages6
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009 - Taipei, Taiwan, Province of China
Duration: 18 May 200920 May 2009

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
ISSN (Print)1551-6245

Conference

Conference2009 10th International Conference on Mobile Data Management: Systems, Services and Middleware, MDM 2009
Country/TerritoryTaiwan, Province of China
CityTaipei
Period18/05/0920/05/09

Fingerprint

Dive into the research topics of 'Supporting contexts for indoor navigation using a multilayered space model'. Together they form a unique fingerprint.

Cite this