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Numerical and experimental evaluation of road infrastructure perception in fog and/or night conditions using infrared and photometric vision systems

机译:红外和光度视觉系统利用红外和光度视觉系统的道路基础设施感知的数值和实验评价

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Use of infrared vision in automotive industry has mainly focused on detection of pedestrians or animals at night or under poor weather conditions. In those approaches, the road infrastructure behavior in infrared range has not been investigated. So, research work was realized using numerical simulations associated with specific experiments in a fog tunnel. The present paper deals with numerical simulations developed for both visible spectrum (visibility in fog) and infrared vision applied to road infrastructure perception in foggy night conditions. Results obtained as a function of fog nature (radiation or advection) are presented and discussed.
机译:在汽车工业中使用红外视野主要集中在夜间或在恶劣的天气条件下检测行人或动物。在这些方法中,红外范围的道路基础设施行为尚未得到调查。因此,使用与雾隧道的特定实验相关的数值模拟实现了研究工作。本文涉及为可见光谱(雾可见度)和红外视野开发的数值模拟,适用于雾夜条件的道路基础设施感知。提出并讨论了作为雾性(辐射或平流)的函数获得的结果。

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