• DocumentCode
    174419
  • Title

    6-DoF velocity estimation using RGB-D camera based on optical flow

  • Author

    Pyojin Kim ; Hyon Lim ; Kim, H.J.

  • Author_Institution
    Sch. of Mech. & Aerosp. Eng., Seoul Nat. Univ., Seoul, South Korea
  • fYear
    2014
  • fDate
    5-8 Oct. 2014
  • Firstpage
    4008
  • Lastpage
    4013
  • Abstract
    In this paper, we suggest a new 6-DoF velocity estimation algorithm using RGB and depth images. Autonomous control of mobile robots requires their velocity information. There exist numerous researches on estimating and measuring the velocity. However, more investigations are needed related to vision sensors and depth image. In this work, we propose an algorithm for velocity estimation with an RGB-D sensor based on image jacobian matrix usually used in image-based visual servoing. We validate the performance of the proposed estimation algorithm in various environments with the RGB-D benchmark dataset. The velocity estimation results show the high quality of estimated 6-DoF velocity compared to the ground truth velocity.
  • Keywords
    Jacobian matrices; estimation theory; image colour analysis; image sequences; mobile robots; robot vision; velocity control; visual servoing; 6DoF velocity estimation; RGB-D benchmark dataset; RGB-D camera; autonomous control; depth images; estimation algorithm; image Jacobian matrix; image-based visual servoing; mobile robots; optical flow; velocity information; vision sensors; Cameras; Detectors; Estimation; Feature extraction; Jacobian matrices; Optical imaging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics (SMC), 2014 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Type

    conf

  • DOI
    10.1109/SMC.2014.6974558
  • Filename
    6974558