• DocumentCode
    512693
  • Title

    Stereo vision for terrain investigation

  • Author

    Hapenciuc, Iaroslav-Andrei ; Svasta, Paul Mugur

  • Author_Institution
    CETTI, PUB, Bucharest, Romania
  • fYear
    2009
  • fDate
    17-20 Sept. 2009
  • Firstpage
    143
  • Lastpage
    148
  • Abstract
    For man more than 90% of the information regarding the surrounding environment comes on the visual way. For an autonomous vehicle the vision is as important as sight is for man. The main problem in designing video systems is the huge amount of data to be processed and the complex algorithm required to extract information from the images. On this document will be described how the problems about data transfer speed, computational power and video signal processing had been solved to achieve the goal: a 3D vision system for autonomous vehicles. The system is using two USB web cams connected to a Windows running PC. On the PC a program was developed using LabVIEW is doing all the image acquisition, calibration processing and data extraction. Practically, the system is a low cost solution with relatively high vision accuracy.
  • Keywords
    data acquisition; data communication; image sensors; operating systems (computers); power aware computing; stereo image processing; video signal processing; virtual instrumentation; 3D vision system; LabVIEW; USB Web cam; Windows operating system; autonomous vehicle; calibration processing; computational power; data extraction; data transfer speed; image acquisition; information extraction; stereo vision; terrain investigation; video signal processing; video system; Algorithm design and analysis; Computer vision; Data mining; Machine vision; Mobile robots; Remotely operated vehicles; Signal processing algorithms; Stereo vision; Universal Serial Bus; Video signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design and Technology of Electronics Packages, (SIITME) 2009 15th International Symposium for
  • Conference_Location
    Gyula
  • Print_ISBN
    978-1-4244-5132-6
  • Electronic_ISBN
    978-1-4244-5133-3
  • Type

    conf

  • DOI
    10.1109/SIITME.2009.5407384
  • Filename
    5407384