Opportunistic multi-sensor fusion for robust navigation in smart environments

  • Enrique Martí*
  • , Jesús García
  • , José M. Molina
  • *Corresponding author for this work

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

1 Citation (Scopus)

Abstract

This paper presents the design of a navigation system for multiple autonomous robotic platforms. It performs multisensor fusion using a Monte Carlo Bayesian filter, and has been designed to maximize information acquisition. Apart from sensors equipped in the mobile platform, the system can dynamically integrate observations from friendly external sensing entities, increasing robustness and making it suitable for both indoor and outdoor operation. A multi-agent layer manages the information acquisition process, making it transparent for the core filtering solution. As a proof of concept, some preliminary results are presented over a real platform using the part of the system specialized in outdoor navigation.

Original languageEnglish
Title of host publicationUser-Centric Technologies and Applications
Subtitle of host publicationProceedings of the CONTEXTS 2011 Workshop
EditorsJose Molina, Jose Ramon Casar Corredera, Ana Bernardos Barbolla, Manuel Felipe Catedra Perez, Javier Ortega-Garcia
Pages59-68
Number of pages10
DOIs
Publication statusPublished - 2011
Externally publishedYes

Publication series

NameAdvances in Intelligent and Soft Computing
Volume94
ISSN (Print)1867-5662

Keywords

  • indoor/outdoor navigation
  • multi agent
  • particle filter
  • positioning
  • sensor fusion

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