基于图像的辅助驾驶系统雾检测与能见度估计

M. Negru, S. Nedevschi
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引用次数: 54

摘要

高级驾驶辅助系统(ADAS)也必须考虑到天气状况。对于驾驶场景来说,最危险的天气条件之一是雾的存在。因此,检测雾的存在、估计雾的密度并确定驾驶员的可视距离是驾驶辅助系统的一项重要任务。我们的方法基于单个车载摄像头,实际上是对现有雾检测解决方案的改进,在速度和准确性方面。我们能够在各种场景中探测到日间雾,包括城市场景。在检测到图像中雾的存在后,基于雾的密度,我们能够计算可见距离,并告知驾驶员环境的天气状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image based fog detection and visibility estimation for driving assistance systems
An advanced driving assistance system (ADAS) must also take into account the weather conditions. One of the most dangerous weather conditions for driving scenarios is the presence of fog. So an important task for a driving assistance system is to detect the presence of fog, estimate the fog's density and determine the visibility distance of the driver. Our method is based on a single in-vehicle camera and is actually an improvement over existing fog detection solutions, in terms of speed and accuracy. We are able to detect day time fog in a wide range of scenarios, including urban scenarios. After detecting the presence of fog in the image and based on the fog's density we are able to compute the visibility distance and inform the driver about the environment's weather conditions.
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