Automation and Applied Informatics Department, University Politehnica Timisoara, 300006 Timisoara, Romania.
Sensors (Basel). 2021 May 12;21(10):3370. doi: 10.3390/s21103370.
In mobile systems, fog, rain, snow, haze, and sun glare are natural phenomena that can be very dangerous for drivers. In addition to the visibility problem, the driver must face also the choice of speed while driving. The main effects of fog are a decrease in contrast and a fade of color. Rain and snow cause also high perturbation for the driver while glare caused by the sun or by other traffic participants can be very dangerous even for a short period. In the field of autonomous vehicles, visibility is of the utmost importance. To solve this problem, different researchers have approached and offered varied solutions and methods. It is useful to focus on what has been presented in the scientific literature over the past ten years relative to these concerns. This synthesis and technological evolution in the field of sensors, in the field of communications, in data processing, can be the basis of new possibilities for approaching the problems. This paper summarizes the methods and systems found and considered relevant, which estimate or even improve visibility in adverse weather conditions. Searching in the scientific literature, in the last few years, for the preoccupations of the researchers for avoiding the problems of the mobile systems caused by the environmental factors, we found that the fog phenomenon is the most dangerous. Our focus is on the fog phenomenon, and here, we present published research about methods based on image processing, optical power measurement, systems of sensors, etc.
在移动系统中，雾、雨、雪、霾和阳光眩光都是对驾驶员非常危险的自然现象。除了能见度问题外，驾驶员在驾驶时还必须面对速度选择的问题。雾的主要影响是对比度降低和颜色褪色。雨和雪也会对驾驶员造成很大的干扰，而阳光或其他交通参与者产生的眩光即使只持续很短时间也可能非常危险。在自动驾驶车辆领域，能见度至关重要。为了解决这个问题，不同的研究人员已经提出了各种解决方案和方法。关注过去十年中关于这些问题在科学文献中提出的内容是很有用的。在传感器领域、通信领域、数据处理领域的这种综合和技术演进，可以为解决问题提供新的可能性。本文总结了发现的、被认为相关的估计甚至改善恶劣天气条件下能见度的方法和系统。在科学文献中搜索近年来研究人员为避免环境因素对移动系统造成的问题的关注，我们发现雾现象是最危险的。我们的重点是雾现象，在这里，我们展示了关于图像处理、光功率测量、传感器系统等方法的已发表研究。
