基于大气散射模型的雾天道路交通能见度估算

Chen Xianqiao, Y. Xinping, Chu Xiumin
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引用次数: 0

摘要

在道路交通中,经常会出现雾天状况。雾影响交通效率,甚至导致交通事故。因此,雾天道路交通能见度的测量具有重要意义。针对这一问题,本文提出了两种模糊估计算法。第一种算法利用两幅图像结合大气散射模型估计能见度;两幅图像必须在相同的场景和不同的天气条件下。第二种算法是用一幅雾天图像估计能见度。但是场景中有两个关键点,这两个关键点具有相似的照明属性。实验表明,这些算法是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Visibility estimated in foggy road traffic based on atmospheric scattering model
In road traffic, there exists foggy condition very often. The foggy affects traffic efficiency, even leads to traffic accidents. So it is important to measure the visibility in foggy road traffic.With this problem, two foggy estimated algorithms are proposed in this paper. In first algorithm, two iamges are used to estimate visibility togather with Atmospheric Scattering Model.The two image must be in same scene and different weather condition.The second algrithm is used one foggy image to estimate the visibility. But there are two key points in the scene,and these points have similar illuminate property.Experments show that these algrithms are effective.
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