基于机器视觉的车辆偏航预警系统设计

Design of Lane Departure Warning System Based on Machine Vision

设计了一种基于机器视觉的车辆偏航预警系统。首先对图像进行灰度化、均值滤波、边缘增强等预处理,采用Ostu算法检测可靠的车道边缘;然后运用Hough算法准确识别不同环境、不同道路下的车道线;在此基础上提出了一种基于车道线斜率的车道偏航预警模型,并进行了试验。结果表明:模型可实时检测车辆运行状态并进行预警,具有较高的准确率。

A lane departure warning system with machine vision was designed.The image was preprocessed with grayscale,mean filter,edge enhancement and so on.The reliable lane edge was detected by Ostu algorithm.The lane lines were discriminated with Hough in different environments and roads accurately.A lane departure warning model with lane slope was proposed and tested.The results show that the model can detect the running state of vehicles in real time and give early warning with high accuracy when the lane is yawed.