• DocumentCode
    134463
  • Title

    Omnidirectional stereo vision using fisheye lenses

  • Author

    Drulea, Marius ; Szakats, Istvan ; Vatavu, Andrei ; Nedevschi, Sergiu

  • Author_Institution
    Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
  • fYear
    2014
  • fDate
    4-6 Sept. 2014
  • Firstpage
    251
  • Lastpage
    258
  • Abstract
    This work presents an omnidirectional stereo system with a direct application to autonomous logistics. The omnidirectional system uses fisheye lenses to inspect the surroundings of the automated forklift. The lenses are mounted on the top of the vehicle to allow a 360° scene reconstruction with a single stereo pair. The system provides the list of obstacles detected around the vehicle. The reconstruction of the scene is possible via a division of the fisheye images into several rectified images. A stereo matching algorithm is applied to each pair of rectified images. The computed 3D points corresponding to the rectified pairs are unified into a single cloud. The obstacle detection module operates on the unified cloud of 3D points.
  • Keywords
    computer graphics; fork lift trucks; image matching; image reconstruction; lenses; logistics; mobile robots; robot vision; stereo image processing; automated forklift; autonomous logistics; computed 3D points; fisheye lenses; obstacle detection module; omnidirectional stereo vision; scene reconstruction; stereo matching algorithm; Accuracy; Calibration; Cameras; Lenses; Sensors; Stereo image processing; Three-dimensional displays; fisheye lens; multi-channel rectification; omnidirectional stereovision; stereo reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computer Communication and Processing (ICCP), 2014 IEEE International Conference on
  • Conference_Location
    Cluj Napoca
  • Print_ISBN
    978-1-4799-6568-7
  • Type

    conf

  • DOI
    10.1109/ICCP.2014.6937005
  • Filename
    6937005