基于优化Prewitt的高速夜间车道检测算法

针对夜间高速公路，提出识别车道标志线的新型检测算法.该算法采用改进的中值法滤波，基于光密度差的4方向模板对数Prewitt边缘检测预处理图像，得到二值化阈值T. ROI和左右车道线的确定大大减少运算量，结合车道线宽度去除伪车道，采用临时轨迹策略排除光线变化和前方车辆的干扰，最后得到完整清晰的车道线.实验证明该车道检测方法具有快速性、稳定性、准确性.

Nighttime Lane Detection of the Highway Based on Improved Prewitt

This study introduces a novel detection algorithm to recognize the lane markers on the highway at night. The proposed algorithm utilizes adapted median filtering and edged detection of the four direction template logarithmic Prewitt based on the difference of luminous density. It gives the threshold of binaryzation. Determine the ROI and sides lane line, so greatly reduce the amount of computation. We use lane marking width and temporal trajectory strategy to remove false lanes caused by lighting change, and vehicle occlusions. Finally we get complete clear lane line. The proposed method is proved to be fast, stability and accuracy.