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Automatic Detection of Snowfall Intensity Using CCD Sensor

机译:使用CCD传感器自动检测降雪强度

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Due to the global warming and climate change, economic damage caused by heavy snowfall is drastically increased in recent years. Sudden heavy snowfall in the road area causes traffic disruption and congestion. To reduce the damage, appropriate countermeasure should be executed based on the real-time snowfall intensity information for each road segment. In this paper, we present a newly developed approach for the automatic detection of snowfall intensity using CCD sensor in the roadway. The proposed approach starts from determining the analyzing zone in the image space. The zone is called MLZ (MotionLess Zone). MLZ is selected on the condition that it does not contain lane marking, safety zone marking, and moving cars. Next, snow streaks, which trespasses the MLZ, are extracted with proposed algorithm. The proposed algorithm consists of edge detection, extracting parallel line segments, and excluding noise. Also, we propose the concept of SII(Snowfall Intensity Index) which is the number of snow streaks trespassing the MLZ during one minutes. The effectiveness of proposed approach is evaluated qualitatively comparing with real imagery and SII.
机译:由于全球变暖和气候变化,近年来由于大雪而造成的经济损失急剧增加。道路区域突然下大雪,导致交通中断和交通拥堵。为了减少损害,应基于每个路段的实时降雪强度信息执行适当的对策。在本文中,我们提出了一种新开发的方法,用于使用道路中的CCD传感器自动检测降雪强度。所提出的方法从确定图像空间中的分析区域开始。该区域称为MLZ(无运动区域)。选择MLZ的前提是它不包含车道标记,安全区标记和行驶中的汽车。接下来,利用提出的算法提取出越过MLZ的雪条纹。所提出的算法包括边缘检测,提取平行线段以及排除噪声。另外,我们提出了降雪强度指数(SII)的概念,即在一分钟内雪条越过MLZ的数量。通过与真实图像和SII进行定性比较,对所提方法的有效性进行了定性评估。

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