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Image-Based winter road condition recognition

机译:基于图像的冬季路况识别

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We investigated the possibility of classifying winter road state from video images. The road state is classified as being in one the classes: dry, wet, icy, snowy, or snowy with tracks. Features (quantities that describe the image in some way, such as the average brightness) are extracted from the video images and given to a neural network, which then classifies the video images on the basis of their features.
机译:我们研究了根据视频图像对冬季道路状态进行分类的可能性。道路状态被分类为以下类别之一:干燥,潮湿,冰冷,下雪或有雪的雪道。从视频图像中提取特征(以某种方式描述图像的数量,例如平均亮度),并将其提供给神经网络,然后神经网络根据其特征对视频图像进行分类。

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