• DocumentCode
    141164
  • Title

    Trajectory Estimation Using Relative Distances Extracted from Inter-image Homographies

  • Author

    Wadenback, Marten ; Heyden, Anders

  • Author_Institution
    Centre for Math. Sci., Lund Univ., Lund, Sweden
  • fYear
    2014
  • fDate
    6-9 May 2014
  • Firstpage
    232
  • Lastpage
    237
  • Abstract
    The main idea of this paper is to use distances between camera positions to recover the trajectory of a mobile robot. We consider a mobile platform equipped with a single fixed camera using images of the floor and their associated inter-image homographies to find these distances. We show that under the assumptions that the camera is rigidly mounted with a constant tilt and travelling at a constant height above the floor, the distance between two camera positions may be expressed in terms of the condition number of the inter-image homography. Experiments are conducted on synthetic data to verify that the derived distance formula gives distances close to the true ones and is not too sensitive to noise. We also describe how the robot trajectory may be represented as a graph with edge lengths determined by the distances computed using the formula above, and present one possible method to construct this graph given some of these distances. The experiments show promising results.
  • Keywords
    cameras; image sensors; mobile robots; path planning; robot vision; camera positions; distance formula; graph edge lengths; interimage homographies; mobile platform; mobile robot trajectory estimation; relative distance extraction; Cameras; Mobile communication; Noise level; Robot vision systems; Simultaneous localization and mapping; Trajectory; autonomous navigation; homography; rigid graphs; tilted camera; trajectory recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision (CRV), 2014 Canadian Conference on
  • Conference_Location
    Montreal, QC
  • Print_ISBN
    978-1-4799-4338-8
  • Type

    conf

  • DOI
    10.1109/CRV.2014.39
  • Filename
    6816848