Semantic Mapping and Localization
Sean Bowman, Nikolay A. Atanasov, Kostas Daniilidis, George Pappas

Citation
Sean Bowman, Nikolay A. Atanasov, Kostas Daniilidis, George Pappas. "Semantic Mapping and Localization". Talk or presentation, 30, October, 2014; Poster presented at the 2014 TerraSwarm Annual Meeting.

Abstract
Most previous work in robotic mapping and localization uses and creates maps based on geometric features such as point features, lines, and planes. We seek to extend this to human understandable maps with semantically labeled objects as features. Using semantic sensors such as a camera and object detector, we use object understanding to both localize a mobile robot and create maps of unknown environments.

Electronic downloads

Internal. This publication has been marked by the author for TerraSwarm-only distribution, so electronic downloads are not available without logging in.

Citation formats

• HTML

  Sean Bowman, Nikolay A. Atanasov, Kostas Daniilidis, George
  Pappas. <a
  href="http://www.terraswarm.org/pubs/401.html"><i>Semantic
  Mapping and Localization</i></a>, Talk or
  presentation,  30, October, 2014; Poster presented at the
  <a
  href="http://www.terraswarm.org/conferences/14/annual"
  >2014 TerraSwarm Annual Meeting</a>.

• Plain text

  Sean Bowman, Nikolay A. Atanasov, Kostas Daniilidis, George
  Pappas. "Semantic Mapping and Localization". Talk
  or presentation,  30, October, 2014; Poster presented at the
  <a
  href="http://www.terraswarm.org/conferences/14/annual"
  >2014 TerraSwarm Annual Meeting</a>.

• BibTeX

  @presentation{BowmanAtanasovDaniilidisPappas14_SemanticMappingLocalization,
      author = {Sean Bowman and Nikolay A. Atanasov and Kostas
                Daniilidis and George Pappas},
      title = {Semantic Mapping and Localization},
      day = {30},
      month = {October},
      year = {2014},
      note = {Poster presented at the <a
                href="http://www.terraswarm.org/conferences/14/annual"
                >2014 TerraSwarm Annual Meeting</a>.},
      abstract = { Most previous work in robotic mapping and
                localization uses and creates maps based on
                geometric features such as point features, lines,
                and planes. We seek to extend this to human
                understandable maps with semantically labeled
                objects as features. Using semantic sensors such
                as a camera and object detector, we use object
                understanding to both localize a mobile robot and
                create maps of unknown environments. },
      URL = {http://terraswarm.org/pubs/401.html}
  }
  

Posted by Sean Bowman on 27 Oct 2014.
Groups: services