• DocumentCode
    2018899
  • Title

    Passive night vision sensor comparison for unmanned ground vehicle stereo vision navigation

  • Author

    Owens, Ken ; Matthies, Larry

  • Author_Institution
    Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    1
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    122
  • Abstract
    One goal of the “Demo III” unmanned ground vehicle program is to enable autonomous nighttime navigation at speeds of up to 10 m.p.h. To perform obstacle detection at night with stereo vision will require night vision cameras that produce adequate image quality for the driving speeds, vehicle dynamics, obstacle sizes, and scene conditions that will be encountered. This paper analyzes the suitability of four classes of night vision cameras (3-5 μm cooled FLIR, 8-12 μm cooled FLIR, 8-12 μm uncooled FLIR, and image intensifiers) for night stereo vision, using criteria based on stereo night matching quality, image signal to noise ratio, motion blur, and synchronization capability. We find that only cooled FLIRs will enable stereo vision performance that meets the goals of the Demo III program for nighttime autonomous mobility
  • Keywords
    image sensors; infrared imaging; mobile robots; object detection; stereo image processing; vehicles; 10 mph; 3 to 5 mum; 3-5 μm cooled FLIR; 8 to 12 mum; 8-12 μm cooled FLIR; 8-12 μm uncooled FLIR; Demo III; S/NR; SNR; forward-looking IR; forward-looking infrared; image intensifiers; image signal to noise ratio; motion blur; night vision cameras; obstacle detection; passive night vision sensor; stereo night matching quality; synchronization capability; unmanned ground vehicle stereo vision navigation; Cameras; Image analysis; Image quality; Land vehicles; Layout; Navigation; Night vision; Stereo vision; Vehicle detection; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-5886-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.2000.844049
  • Filename
    844049