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Onbord Detection of Nighttime Fog |
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| Compared to daytime, a larger proportion of accident happens during nighttime. The altered visibility of the
road scene for the drivers may partially explain this situation. The latter becomes worse in fog presence. In this paper, two camera-based methods are proposed to detect the presence
of night fog in images grabbed by in-vehicle multipurpose cameras. They rely on the visual effects of night fog. A first approach can assess the presence of fog around the vehicle
thanks to the detection of the backscattered veil induced by the
vehicle ego lights. It aims at detecting fog when the vehicle is
alone in absence of exterior public lighting. A second approach can assess the presence of fog thanks to the detection of halos around light sources in the vehicle environment. It aims at
detecting fog in presence of road traffic or public lighting. Both methods are presented and illustrated with actual images of fog. Their complementarity makes it possible to envision a complete night fog detection system. There are numerous applications
for such a system: automation or adaptation of vehicle lights, contextual speed computation and reliability improvement for camera-based systems. |
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Publications- Gallen, R., Cord, A., Hautière, N. and Aubert, D. Towards Night Fog Detection through use of In-Vehicle Multipurpose
Cameras. In IEEE Intelligent Vehicles Symposium (IV'11), Baden Baden, Germany, 2011.
 
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