Detection of visibility conditions through use of onboard cameras

N. Hautière, R. Labayrade, D. Aubert
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引用次数: 21

Abstract

An atmospheric visibility measurement system capable of quantifying the most common operating range of onboard exteroceptive sensors is a key parameter in the creation of driving assistance systems. This information is then utilized to adapt sensor operations and processing or to alert the driver that the onboard assistance system is momentarily inoperative. Moreover, a system capable of either detecting the presence of fog or estimating visibility distances constitutes in itself a driving assistance. In this paper, we present a measurement framework of different visibility distances using onboard CCD cameras, that we beforehand defined: meteorological visibility, obstacle visibility, mobilized visibility. The methods to estimate these different visibility distances are detailed. Whereas the first one is based on a physical model of light diffusion by the atmosphere, the two other methods are based on the "v-disparity" approach and local contrasts computation. The methods are evaluated thanks to video sequences under sunny weather and foggy weather.
通过机载摄像头检测能见度
大气能见度测量系统能够量化车载外感传感器最常见的工作范围,是创建驾驶辅助系统的关键参数。然后利用这些信息来调整传感器的操作和处理,或者提醒驾驶员车载辅助系统暂时不起作用。此外,能够检测雾的存在或估计能见度距离的系统本身就构成了驾驶辅助。本文提出了一种利用车载CCD相机测量不同能见度距离的框架,即气象能见度、障碍物能见度、机动能见度。详细介绍了不同能见度距离的估计方法。第一种方法是基于光在大气中扩散的物理模型,而另外两种方法是基于“v-视差”方法和局部对比计算。以晴天和雾天的视频序列为例,对这些方法进行了评价。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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