• DocumentCode
    36702
  • Title

    Determining the Time Delay Between Inertial and Visual Sensor Measurements

  • Author

    Kelly, J. ; Roy, N. ; Sukhatme, G.S.

  • Author_Institution
    Space & Terrestrial Autonomous Robotic Syst. Lab., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    30
  • Issue
    6
  • fYear
    2014
  • fDate
    Dec. 2014
  • Firstpage
    1514
  • Lastpage
    1523
  • Abstract
    We examine the problem of determining the relative time delay between IMU and camera data streams. The primary difficulty is that the correspondences between measurements from the sensors are not initially known, and hence, the time delay cannot be computed directly. We instead formulate time delay calibration as a registration problem, and introduce a calibration algorithm that operates by aligning curves in a three-dimensional orientation space. Results from simulation studies and from experiments with real hardware demonstrate that the delay can be accurately calibrated.
  • Keywords
    calibration; cameras; delays; inertial navigation; sensors; IMU; camera data streams; inertial sensor measurements; registration problem; three-dimensional orientation space; time delay; visual sensor measurements; Calibration; Computer vision; Navigation; Robot sensing systems; Sensor fusion; Time measurement; Aided navigation; calibration and identification; computer vision; inertial sensing; sensor fusion;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2014.2343073
  • Filename
    6880764