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.

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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.
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