Context-awareness at the service of sensor fusion systems: Inverting the usual scheme

  • Enrique Martí*
  • , Jesús García
  • , Jose Manuel Molina
  • *Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Many works on context-aware systems make use of location, navigation or tracking services offered by an underlying sensor fusion module, as part of the relevant contextual information. The obtained knowledge is typically consumed only by the high level layers of the system, in spite that context itself represents a valuable source of information from which every part of the implemented system could take benefit. This paper closes the loop, analyzing how can context knowledge be applied to improve the accuracy, robustness and adaptability of sensor fusion processes. The whole theoretical analysis will be related with the indoor/outdoor navigation system implemented for a wheeled robotic platform. Some preliminary results are presented, where the context information provided by a map is integrated in the sensor fusion system.

Original languageEnglish
Title of host publicationAdvances in Computational Intelligence - 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, Proceedings
Pages653-660
Number of pages8
EditionPART 2
DOIs
Publication statusPublished - 2011
Externally publishedYes
Event11th International Work-Conference on on Artificial Neural Networks, IWANN 2011 - Torremolinos-Malaga, Spain
Duration: 8 Jun 201110 Jun 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6692 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference11th International Work-Conference on on Artificial Neural Networks, IWANN 2011
Country/TerritorySpain
CityTorremolinos-Malaga
Period8/06/1110/06/11

Keywords

  • context-aware
  • indoor
  • navigation
  • outdoor
  • particle filter
  • sensor fusion
  • software agent

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