Wavelet Transform for Analyzing Fog Visibility
IEEE Intelligent Systems
Contrast restoration of weather degraded images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Design of an image analysis website for phenological and meteorological monitoring
Environmental Modelling & Software
Combination of Roadside and In-vehicle Sensors for Extensive Visibility Range Monitoring
AVSS '09 Proceedings of the 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
Efficient on-board stereo vision pose estimation
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Mitigation of visibility loss for advanced camera-based driver assistance
IEEE Transactions on Intelligent Transportation Systems
Rain or Snow Detection in Image Sequences Through Use of a Histogram of Orientation of Streaks
International Journal of Computer Vision
Finger-vein ROI localization and vein ridge enhancement
Pattern Recognition Letters
Velocity calculation by automatic camera calibration based on homogenous fog weather condition
International Journal of Automation and Computing
Stereo reconstruction and contrast restoration in daytime fog
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Traffic meteorological visibility estimation based on homogenous area extraction
International Journal of Computer Applications in Technology
Enhanced fog detection and free-space segmentation for car navigation
Machine Vision and Applications
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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.