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Distinguishing the road conditions of dry, aquaplane and frozen by using 3-color infrared camera

机译:使用三色红外热像仪识别干燥,滑水板和冰冻路面状况

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There are increasing demands for information to avoid accident in automobile traffic increase. We will discuss that an infrared camera can identify three conditions (dry, aquaplane, frozen) of the road surface. Principles of this method are; 1.We have found 3-color infrared camera can distinguish those conditions using proper data processing 2.The emissivity of the materials on the road surface (conclete, water, ice) differs in three wavelength regions. 3.The sky's temperature is lower than the road's. The emissivity of the road depends on the road surface conditions. Therefore, 3-color infrared camera measure the energy reflected from the sky on the road surface and self radiation of road surface. The road condition can be distinguished by processing the energy pattern measured in three wavelength regions. We were able to collect the experimental results that the emissivity of conclete is differ from water. The infrared camera whose NETD (Noise Equivalent Temperature Difference) at each 3-wavelength is 1.0C or less can distinguish the road conditions by using emissivity difference.
机译:为了避免汽车交通事故增加对信息的需求不断增长。我们将讨论红外摄像机可以识别路面的三种情况(干燥,滑水板,冻结)。该方法的原理是: 1.我们发现三色红外摄像机可以使用适当的数据处理来区分这些条件。2.道路表面材料(胶结物,水,冰)的发射率在三个波长区域中不同。 3.天空的温度低于道路的温度。道路的辐射率取决于路面状况。因此,三色红外摄像机测量从天空反射到路面上的能量以及路面的自辐射。通过处理在三个波长区域中测得的能量模式,可以区分道路状况。我们能够收集到实验结果,即混凝土的发射率不同于水。每个3波长的NETD(噪声等效温度差)为1.0C或更低的红外热像仪可以通过使用发射率差来区分道路状况。

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