• DocumentCode
    732166
  • Title

    Estimation of distance to objects by stereovision

  • Author

    Muratov, Yevgeniy R. ; Nikiforov, Michael B. ; Rusakov, Alexey B. ; Gurov, Victor S.

  • Author_Institution
    Electron. Counting Machines Dept., RSREU, Ryazan, Russia
  • fYear
    2015
  • fDate
    14-18 June 2015
  • Firstpage
    155
  • Lastpage
    158
  • Abstract
    Estimation of distance to real objects can be done with the help of various sensors. In some cases stereovision system is technically simpler and cheaper. Algorithms of dense stereovision allow to build highly detailed virtual terrain model, which gives opportunity to control the device in complicated relief or in dangerous surroundings. But some algorithms of dense stereovision have problems to determine the distance on the basis of real terrain sector images and the algorithms without such problems cannot make calculations in real time. The article proves the possibility to use stereovision to build virtual terrain model as well as studies the method to optimize stereovision algorithm to be used in embedded systems.
  • Keywords
    embedded systems; stereo image processing; dense stereovision algorithm; distance-to-objects estimation; embedded systems; real terrain sector images; stereovision system; virtual terrain model; Accuracy; Adaptive optics; Cameras; Computer vision; Embedded computing; Memory management; Sensors; dense stereovision; distance to objects; height map; stereovision algorithms; virtual terrain model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Embedded Computing (MECO), 2015 4th Mediterranean Conference on
  • Conference_Location
    Budva
  • Print_ISBN
    978-1-4799-8999-7
  • Type

    conf

  • DOI
    10.1109/MECO.2015.7181890
  • Filename
    7181890