Citation
Matt Weber. "Self-Organizing Semantic Localization". Talk or presentation, 5, November, 2013; Poster presented at the 2013 TerraSwarm Annual Meeting.

Abstract
Localization in the swarm presents a unique set of advantages and challenges. We propose methods that respect the parameters of the problem: namely a geometric framework to integrate diverse sensor types, a semantic approach that optimizes information over spatial precision, and self-organizing algorithms that decentralize computation to make localization “plug and play”. These techniques may be applied to improve localization of humans as well as swarm infrastructure. We see location based addressing as a powerful application for our approach.

Electronic downloads

• Self_Organizing_Semantic_Localization_final.pdf · application/pdf · 8829 kbytes

• HTML

  Matt Weber. <a
  href="http://www.terraswarm.org/pubs/168.html"><i>Self-Organizing
  Semantic Localization</i></a>, Talk or
  presentation,  5, November, 2013; Poster presented at the
  <a
  href="http://www.terraswarm.org/conferences/13/annual"
  >2013 TerraSwarm Annual Meeting</a>.

• Plain text

  Matt Weber. "Self-Organizing Semantic
  Localization". Talk or presentation,  5, November,
  2013; Poster presented at the <a
  href="http://www.terraswarm.org/conferences/13/annual"
  >2013 TerraSwarm Annual Meeting</a>.

• BibTeX

  @presentation{Weber13_SelfOrganizingSemanticLocalization,
      author = {Matt Weber},
      title = {Self-Organizing Semantic Localization},
      day = {5},
      month = {November},
      year = {2013},
      note = {Poster presented at the <a
                href="http://www.terraswarm.org/conferences/13/annual"
                >2013 TerraSwarm Annual Meeting</a>},
      abstract = {Localization in the swarm presents a unique set of
                advantages and challenges. We propose methods that
                respect the parameters of the problem: namely a
                geometric framework to integrate diverse sensor
                types, a semantic approach that optimizes
                information over spatial precision, and
                self-organizing algorithms that decentralize
                computation to make localization �plug and
                play�. These techniques may be applied to
                improve localization of humans as well as swarm
                infrastructure. We see location based addressing
                as a powerful application for our approach.},
      URL = {http://terraswarm.org/pubs/168.html}
  }
  

Posted by Matt Weber on 3 Nov 2013.