一种基于扫描线和区域生长的行车偏移检测算法

An Algorithm for Lane Departure Detection Based on Scan line and Region Growing

驾驶疲劳是引发高速公路车祸的重要原因之一,而根据行车偏移信息则可以评估疲劳状态。为了实时检测到行车偏移信息,提出了一种基于扫描线与区域生长相结合的视频图像分析算法,从而实现了多种道路车道标线和行车偏移的自动检测。该算法还采用自适应感兴趣区域选择方法以及根据车道状况确定帧处理策略的方法,使运算速度满足实时要求。采用该方法获得的行车偏移信息将给后续的驾驶疲劳分析提供必要的数据。

Driving fatigue is one of the main causes that result in highway crashes. The information from lane departure detection can evaluate the state of driving fatigue. This paper presents an algorithm combining scan line and region-growing method based on video images analysis, in which lane-marking recognition and driving deviation detection are realized. We use the region of interest（ROI） to figure out the current track of the driving vehicle, and give a frame disposal strategy concerning the track＇ s parameter so as to meet the need for real time management. The result of our algorithm will provide necessary data for the future analysis of driving fatigue.