GPU-Boosted Camera-Only Indoor Localization

Ali Gürcan Özkil, Zhun Fan, Jens Klæstrup Kristensen, Steen Dawids, Kim Hardam Christensen, Henrik Aanæs

    Research output: Contribution to conferencePosterResearch

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    Abstract

    Localization can be defined as the process of estimating the pose of an agent, given a representation of the environment and sensor input. In this work, we use
    Topo-metric Appearance Maps to represent the environment, and introduce a new method for localization using only a camera. The method relies on local image
    features detection, description and matching; by parallelizing these computationally intensive tasks on the graphical processing unit (GPU), it is possible to do online localization using a Topometric Appearance Map. The method is developed as an integral part of a mobile service robot system [1] , and empirically evaluated using
    a real robot in a typical indoor environment.
    Original languageEnglish
    Publication date2010
    Number of pages1
    Publication statusPublished - 2010
    EventVisionday 2010: Industrial - DTU, Kgs. Lyngby, Denmark
    Duration: 25 May 201028 May 2010

    Conference

    ConferenceVisionday 2010: Industrial
    LocationDTU
    Country/TerritoryDenmark
    CityKgs. Lyngby
    Period25/05/201028/05/2010

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