First International Conference on Innovative Computing, Information and Control - Volume I (ICICIC'06)
DOI: 10.1109/icicic.2006.373
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Visibility Estimation in Foggy Conditions by In-Vehicle Camera and Radar

Abstract: We propose a method of judgzg fog denszg by uszng znvehicle camera rmuges and mzllzmeter-wave (mm-W) radar data This method detennznes fog densit?, by evaluatzng both the v~s~brlzty of a precedzng vehrcle and the dzstance to zt Experiments revealed that judgments made by the proposed method achzeved an 85% preczszon rate compared to that made by human subjects

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Cited by 21 publications
(9 citation statements)
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“…Pavlic [10] developed a fog detection method using image descriptors with Gabor Filters at varying scales, frequencies and directions. Another technique [11] in which integration of radar with in vehicle was developed. The principle behind this is Koschmieder's law in which fog density has been categorised in accordance to visibility factor of beyond vehicle.…”
Section: A Fog Detectionmentioning
confidence: 99%
“…Pavlic [10] developed a fog detection method using image descriptors with Gabor Filters at varying scales, frequencies and directions. Another technique [11] in which integration of radar with in vehicle was developed. The principle behind this is Koschmieder's law in which fog density has been categorised in accordance to visibility factor of beyond vehicle.…”
Section: A Fog Detectionmentioning
confidence: 99%
“…Systems for recognising specific weather situations like rain, rain drops, fog, and ice are significantly more relevant [59] even if only specific aspects are covered. The viewing range estimation in rain or fog is a central aspect [37,68].…”
Section: Environment Representationmentioning
confidence: 99%
“…In [12], five image features were used to estimate the visibility of specific road sign. In [13], visibility estimation in foggy conditions has been proposed using in-vehicle images.…”
Section: Introductionmentioning
confidence: 99%