基于路面亮度特征估算的视频能见度检测系统

Visibility Detection Based on Estimating Characteristic Luminance of Road Surface

为了解决现有的视频能见度算法适用面窄、检测不稳定的问题,提出了一种基于路面亮度特征估算的视频能见度检测算法.首先提取亮度、高度一致的路面区域,求取路面采样区域的视亮度,根据Koschmieder公式结合摄像机标定构建多组亮度幂函数关系,计算路面的固有亮度;最后对图像进行多点采样计算能见度距离并对计算结果进行聚类.实验数据表明,所提出的算法具有计算量小、计算精度高且普遍适用的优点.

In order to overcome the shortcomings of state-of-the art visibility detection methods, a novel al- gorithm was proposed to measure the atmospheric visibility based on intrinsic luminance of road surface using a video camera. First, the luminance and height constant regions of the road were extracted. Then, the apparent luminance of sampled areas was computed, and power functions were built to calculate the intrinsic luminance according to Koschmieder formula and camera calibration technology. Finally, muhi- points sampling was conducted to calculate the visibility distance whose the results were clustered. The ex- perimental results show that this algorithm can lower computation costs and achieve a more precise atmos pheric visibility.