DocumentCode :
2300747
Title :
Fast reactive control for illumination through rain and snow
Author :
De Charette, Raoul ; Tamburo, Robert ; Barnum, Peter C. ; Rowe, Anthony ; Kanade, Takeo ; Narasimhan, Srinivasa G.
Author_Institution :
Mines ParisTech, Evry, France
fYear :
2012
fDate :
28-29 April 2012
Firstpage :
1
Lastpage :
10
Abstract :
During low-light conditions, drivers rely mainly on headlights to improve visibility. But in the presence of rain and snow, headlights can paradoxically reduce visibility due to light reflected off of precipitation back towards the driver. Precipitation also scatters light across a wide range of angles that disrupts the vision of drivers in oncoming vehicles. In contrast to recent computer vision methods that digitally remove rain and snow streaks from captured images, we present a system that will directly improve driver visibility by controlling illumination in response to detected precipitation. The motion of precipitation is tracked and only the space around particles is illuminated using fast dynamic control. Using a physics-based simulator, we show how such a system would perform under a variety of weather conditions. We build and evaluate a proof-of-concept system that can avoid water drops generated in the laboratory.
Keywords :
computer vision; lighting; object detection; rain; snow; traffic engineering computing; computer vision methods; driver visibility improvement; fast reactive control; illumination control; low-light conditions; physics-based simulator; precipitation motion detection; rain presence; snow presence; visibility reduction; weather conditions; Accuracy; Cameras; Rain; Snow; Throughput; Vehicles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Photography (ICCP), 2012 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-1660-6
Type :
conf
DOI :
10.1109/ICCPhot.2012.6215217
Filename :
6215217
Link To Document :
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