车道偏离预警系统的一种图像预处理方法

针对现有车道偏离预警系统所存在的问题,提出了一套更适于处理复杂路况的图像处理方法。根据车道偏离预警系统对于道路图像的特殊要求,针对现有图像处理的不足之处,并结合目前最先进的图像处理算法,在减少噪声、阈值分割以及保存有效像素等方面取得了明显的进展。实际道路实验证明该算法的处理结果理想。

Algorithm of image processing in lane departure warning system

The paper brings an algorithm that adapts more complex road condition than the LDWS algorithm in existence, establishing a new algorithm of image processing. According to the special requirements of LDWS for road image, this paper aims itself at the defect in image processing of LDWS in existence, and combining the advanced image processing algorithm in existence, make progress in eliminating noise, exact threshold division and keeping efficiency pixel. The experiment shows that the algorithm obtains perfect effect in eliminating noise. The LDWS system is triggered automatically when the driver mistakenly allows the vehicle to stray out of lane. The system would work as follows: when the vehicle moves across road markings without the indicator being used, infrared sensors behind the front bumper detect the movement and trigger the ECU which warns the driver by means of a vibrating signal on the left or right side of the driver's seat, depending on which way the vehicle is drifting. This allows the driver to take immediate action to get back in lane.