基于暗通道先验的实时低能见度辅助驾驶系统

Real Time Low Visibility Auxiliary Driving System Based on Dark Channel Prior

提出了一种基于暗通道先验的实时低能见度辅助驾驶系统。该系统在车载摄像机上运行,驾驶人员可以实时获取能见度信息。首先,通过暗通道先验获得大气透射率分布图,并根据该分布图判断是否处于低能见度天气状况;然后,利用区域增长算法确定大气透射率分布图中的测量带宽,并根据其中透射率的梯度变化来确定能见度测量线;最后,提出了一种基于高速公路车道线的摄像机实时自动标定方法,根据标定结果及能见度检测基本原理检测出实时的能见度信息并发送给驾驶员。实验结果表明,本文提出的低能见度辅助驾驶系统能有效地估计低能见度天气下高速公路的实时能见度。

Low visibility is more likely to cause accidents on the highway.An accurate visibility measurement system can greatly reduce these accidents and improve driving safety.However,some existing visibility measurement systems are very expensive and cannot send the visibility information to drivers in real time.Hence,this paper proposes a real-time low visibility auxiliary driving system based on dark channel prior.This proposed system will run on the onboard camera,which may reduce the cost of the measurement system and can make drivers obtain the visibility information in real time.Firstly,the transmission that is obtained through dark channel prior is utilized to judge the visibility condition.Secondly,a region growing algorithm is given to determine the measurement bandwidth in the transmission image.And then,the measurement line in this bandwidth is obtained via the gradient variation of transmission.Thirdly,according to the highway lane line in the transmission image,an improved real time automatic calibration method is proposed to estimate the visibility distance that will be sent to the driver.Finally,experimental results show that the proposed highway visibility measurement system can effectively estimate the real-time highway visibility distance in the low visibility weather.