An indoor navigation ontology for production assets in a production environment

Johannes Scholz*, Stefan Schabus

*Corresponding author for this work

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

Abstract

This article highlights an indoor navigation ontology for an indoor production environment. The ontology focuses on the movement of production assets in an indoor environment, to support autonomous navigation in the indoor space. Due to the fact that production environments have a different layout than ordinary indoor spaces, like buildings for office or residential use, an ontology focusing on indoor navigation looks different than ontologies in recent publications. Hence, rooms, corridors and doors to separate rooms and corridors are hardly present in an indoor production environment. Furthermore, indoor spaces for production purposes are likely to change in terms of physical layout and in terms of equipment location. The indoor navigation ontology highlighted in this paper utilizes an affordance based approach, which can be exploited for navigation purposes. A brief explanation of the routing methodology based on affordances is given in this paper, to justify the need for an indoor navigation ontology

Original languageEnglish
Title of host publicationGeographic Information Science
Subtitle of host publicationGIScience 2014.
Pages204-220
Number of pages17
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event8th International Conference on Geographic Information Science: GIScience 2014 - TU Wien, Wien, Austria
Duration: 23 Sept 201426 Sept 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Volume8728
ISSN (Print)0302-9743

Conference

Conference8th International Conference on Geographic Information Science
Abbreviated titleGIScience 2014
Country/TerritoryAustria
CityWien
Period23/09/1426/09/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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