Paper Info
Title
Automatic fog detection and estimation of visibility distance through use of an onboard camera
Abstract
In this paper, we will present a technique for measuring visibility distances under foggy weather conditions using a camera mounted onboard a moving vehicle. Our research has focused in particular on the problem of detecting daytime fog and estimating visibility distances; thanks to these efforts, an original method has been developed, tested and patented. The approach consists of dynamically implementing Koschmieder's law. Our method enables computing the meteorological visibility distance, a measure defined by the International Commission on Illumination (CIE) as the distance beyond which a black object of an appropriate dimension is perceived with a contrast of less than 5%. Our proposed solution is an original one, featuring the advantage of utilizing a single camera and necessitating the presence of just the road and sky in the scene. As opposed to other methods that require the explicit extraction of the road, this method offers fewer constraints by virtue of being applicable with no more than the extraction of a homogeneous surface containing a portion of the road and sky within the image. This image preprocessing also serves to identify the level of compatibility of the processed image with the set of Koschmieder's model hypotheses.
Year
DOI
Venue
2006
10.1007/s00138-005-0011-1
Mach. Vis. Appl.
Keywords
Field
DocType
Visibility distance,Fog detection,Koschmieder's law,Intelligent transport,Driving assistance,Region growing,Real-time image processing
Computer vision,Visibility,Moving vehicle,Homogeneous,Computer science,Sky,Onboard camera,Preprocessor,Artificial intelligence,Region growing
Journal
Volume
Issue
ISSN
17
1
0932-8092
Citations 
PageRank 
References 
69
4.82
4
Authors
4
Name
Order
Citations
PageRank
Nicolas Hautiere1816.93
Jean-Philippe Tarel_aff1n22694.82
Jean Lavenant_aff1n33694.82
Didier Aubert436135.97