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原文传递 Expressway Visual Distance Detection Using Thermal Imager: Comparing Normal and Infrared Images

题名：	Expressway Visual Distance Detection Using Thermal Imager: Comparing Normal and Infrared Images
其他题名：	Abdel-Aty,M.,Ekram,A.A.,Huang,H.,and Choi,K.(2011)."A study on crashes related to visibility obstruction due to fog and smoke."Accid.Anal.Prev.,43(5),1730-1737.
正文语种：	英文
作者：	Xiaoming Zhang
关键词：	Traffic engineering;Expressway;Visual distance;Infrared image;Low visibility;Pixel comparison
摘要：	The real-time monitoring of visibility for expressway traffic safety cannot be widely achieved due to the high cost of the traditional method. This paper proposes a novel method to monitor expressway visibility using two types of cameras, one normal and one infrared. The former is affected by visibility conditions when the latter is not. The concept of visibility level (VL) is proposed correspondingly, based on a comparison model of normal and infrared images. The mapping relation of the ratio of two kinds of image edge pixels to the decrease of visual distance is determined, establishing the VL model. Camera correction coefficients and temperature correction coefficients are proposed to make the model more reasonable and accurate. The model is validated in experiments under foggy conditions. The results show that the average error of the VL model is 10％. The research may enable practical implementation on roadsides in the near future to determine visibility for the benefit of expressway safety.
出版年：	2018
论文唯一标识：	P-72Y2018V144N06005
英文栏目名称：	TECHNICAL PAPERS
doi：	10.1061/JTEPBS.0000144
期刊名称：	Journal of Transportation Engineering
拼音刊名(出版物代码)：	P-72
卷：	144
期：	06
页码：	34-41