• DocumentCode
    568863
  • Title

    TrueSight A Pedestrian Navigation System Based in Automatic Landmark Detection and Extraction on Android Smartphone

  • Author

    Ferreira, Alessandro Luiz Stamatto ; Santos, Selan Rodrigues dos ; de Miranda, Leonardo Cunha

  • Author_Institution
    Dept. de Inf. e Mat. Aplic., Univ. Fed. do Rio Grande do Norte (UFRN), Natal, Brazil
  • fYear
    2012
  • fDate
    28-31 May 2012
  • Firstpage
    91
  • Lastpage
    99
  • Abstract
    From time to time someone gets lost and askhimself "How do I get there?" With the advent of the GPS this question can be answered. However due to difficulties such as lack of precision, possibility of inaccurate maps,network dependency, and cost lead the pursuit of analternative solution. In order to locate himself the person can use a different method: using a smartphone camera his position is recognized visually, based in environment references, and then an arrow pointing the right direction appears in a map in the display. This method was implemented in the application framework of Android,using OpenCV and its implementation of the SURFalgorithm. The final application is named TrueSight and westudy its viability and limitations. The authors conclude thata vision-based navigation system is viable, but database improvements and exhibition could make it better.
  • Keywords
    cameras; computer vision; feature extraction; object detection; operating systems (computers); pedestrians; smart phones; visual databases; Android smartphone; GPS; OpenCV; SURF algorithm; TrueSight; automatic landmark detection; automatic landmark extraction; database improvements; open source computer vision library; pedestrian navigation system; smartphone camera; vision-based navigation system; Androids; Global Positioning System; Google; Humanoid robots; Image segmentation; Robustness; Visualization; android; landmark recognition; localization; mobile device; navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual and Augmented Reality (SVR), 2012 14th Symposium on
  • Conference_Location
    Rio Janiero
  • Print_ISBN
    978-1-4673-1929-4
  • Type

    conf

  • DOI
    10.1109/SVR.2012.14
  • Filename
    6297564