• DocumentCode
    2534583
  • Title

    A low-cost VIS-NIR true color night vision video system based on a wide dynamic range CMOS imager

  • Author

    Hertel, Dirk ; Marechal, Herve ; Tefera, Daniel A. ; Fan, Wensheng ; Hicks, Rich

  • Author_Institution
    Vision Sensing Dept., Sensata Technol., Inc., Cambridge, MA, USA
  • fYear
    2009
  • fDate
    3-5 June 2009
  • Firstpage
    273
  • Lastpage
    278
  • Abstract
    Night vision driver assistance systems need to combine high sensitivity with natural color reproduction so that dark scene detail such as pedestrians plus relevant color information from vehicle lights, traffic lights, and retro-reflective signs can be reliably recognized. Dark scene detail is carried by illuminated objects such as pedestrians; color information is carried by colored lights. The intra-scene contrast between dark scene detail and bright colored lights can often be extreme making wide dynamic range (WDR) image capture necessary. Dedicated night vision systems extend the spectral range from the visible (VIS) into the near infrared (NIR) range, but render only a grayscale image, and are not generally WDR-capable. Although multi-spectral VIS-NIR systems can simultaneously capture and fuse color and NIR information, they are often large and costly. A low-cost solution has been developed based on a WDR CMOS imager with widely used color filter array (CFA) technology. In contrast to common practice, no IR cut-filter is used, and the G2-filter of the standard Bayer pattern is removed to create a pixel with VIS+IR sensitivity. This paper concentrates on how to use such an imager in an automotive true color night vision system by removing the IR signal from the color channels then fusing VIS+IR grayscale information with color information.
  • Keywords
    CMOS image sensors; image colour analysis; night vision; video signal processing; CMOS imager; VIS-NIR; color filter array; grayscale image; natural color reproduction; near infrared range; night vision driver assistance systems; true color night vision video system; wide dynamic range image capture; CMOS image sensors; Dynamic range; Fuses; Gray-scale; Infrared imaging; Infrared spectra; Layout; Night vision; Rendering (computer graphics); Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2009 IEEE
  • Conference_Location
    Xi´an
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4244-3503-6
  • Electronic_ISBN
    1931-0587
  • Type

    conf

  • DOI
    10.1109/IVS.2009.5164290
  • Filename
    5164290