• DocumentCode
    249712
  • Title

    On the use of IMUs in the PnP problem

  • Author

    D´Alfonso, Luigi ; Garone, E. ; Muraca, Pietro ; Pugliese, Paolo

  • Author_Institution
    DIMES, Univ. della Calabria, Rende, Italy
  • fYear
    2014
  • fDate
    May 31 2014-June 7 2014
  • Firstpage
    914
  • Lastpage
    919
  • Abstract
    In this paper the problem of estimating the relative orientation and position between a camera and an object is investigated. It is assumed that both the camera and the object are provided with an Inertial Measurement Unit (IMU) capable of measuring their attitude with respect to the gravity and the earth magnetic vectors. Furthermore, the object is assumed to contain a feature of n points, the position of which is known in the object coordinate frame. An algorithm is proposed, which uses the image provided by the camera and the information provided by the IMUs, to solve the PnP problem, i.e., to estimate the relative pose of the object in the camera reference frame. Two special cases will be studied. The first is the case where all the attitude information given by the IMU is used. In the second case only the measurements provided by inclinometers are used, neglecting those coming from the magnetometers, because they are usually quite noisy. The effectiveness of the proposed algorithms is tested either by numerical simulations and by experimental tests with cameras.
  • Keywords
    attitude measurement; numerical analysis; pose estimation; vectors; IMUs; PnP problem; attitude measurement; camera reference frame; earth magnetic vectors; experimental tests; inclinometers; inertial measurement unit; numerical simulations; perspective-n-point problem; position estimation; relative orientation estimation; relative pose estimation; Cameras; Equations; Estimation; Indexes; Magnetometers; Optimization; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2014 IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Type

    conf

  • DOI
    10.1109/ICRA.2014.6906963
  • Filename
    6906963