摘要
文中分析由车载摄像头获取的道路图像的特点,提出基于霍夫变换的车道识别算法,能够自动提取原始图像中的车道部分并检测出图像中的所有车道线。实验表明,对于不同的天气状况和车道种类,该算法均可得到良好的识别效果。
We analyzed the characteristic of road images from CCD mounted on a ear, and presented an algorithm for lane detection based on Hough Transform. This algorithm can extract the lane region of the original image automatically and detect all of the lanes in the image in real-time. In experiment, our algorithm could show good performance under different weather conditions and lane models.
出处
《电子测量技术》
2005年第4期43-43,45,共2页
Electronic Measurement Technology
