A featureless and stochastic approach to on-board stereo vision system pose
Image and Vision Computing
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
Road approximation in Euclidean and υ-disparity space: a comparative study
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
Efficient multisensory barrier for obstacle detection on railways
IEEE Transactions on Intelligent Transportation Systems
Keyframe presentation for browsing of user-generated videos on map interfaces
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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An atmospheric visibility measurement system capable of quantifying the most common operating range of onboard exteroceptive sensors is a key parameter in the creation of driving assistance systems. This information is then utilized to adapt sensor operations and processing or to alert the driver that his onboard assistance system is momentarily inoperative. Moreover, a system capable of either detecting the presence of fog or estimating visibility distances constitutes in itself a driving assistance. In this paper, the authors present a technique to estimate the mobilized visibility distance through a use of onboard charge-coupled device cameras. The latter represents the distance to the most distant object on the road surface having a contrast above 5%. This definition is very close to the definition of the meteorological visibility distance proposed by the International Commission on Illumination. The method combines the computations of local contrasts above 5% and of a depth map of the vehicle environment using stereovision within 60 ms on a current-day computer. In this paper, both methods are described separately. Then, their combination is detailed. The method is operative night and day in every kind of meteorological condition and is evaluated; thanks to video sequences under sunny weather and foggy weather.