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
Link To Document :
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