基于图像处理的车辆防偏防追尾预警系统研究

针对交通事故的不断上升,设计一种基于图像处理的车辆防偏防追尾预警系统。首先利用改进的Hough变换检测出前方车道线并进行预警决策;然后在此车道区域内根据车底部阴影的梯度特征确定前方可能存在的车辆区域,通过卡尔曼滤波器跟踪检测到的目标,并利用归一化转动惯量做车辆验证;最后根据世界坐标系和图像坐标系之间的几何映射关系测定与前车的距离,进而与计算得出的安全距离对比从而实现报警功能。实验结果表明,该系统能够有效的识别出车道线和车辆,并能很好的判断车道线偏离情况和测量车间距,从而实现预警输出。

Lane Departure and Rear-end Collision Warning System Based on Image Processing

This paper designed a lane departure and rear-end collision warning system based on image processing. The designed system firstly detects the lane by using the improved Hough transform method and then detects the vehicle ahead according to the gradient feature of shadow in this region of the lane. Kalman filters were used to track the target vehicle,which will be assisted by normalized-mutual-information feature. Lastly the safe distance was calculated by image mapping in coordination system to world coordination system to realize alarm function. The experimental results show that the system can effectively detect lane lines and vehicles. The system can also detect the vehicle deviation and measure the distance between vehicles correctly, and give the early warning if necessay.