摘要
车道标识线的准确检测是实现车辆自动导航和车辆安全辅助驾驶的首要问题,为了得到较理想的车道的标线边缘,利用车道的边缘特征对车道图像进行二值化和形态学处理,对车道区域实现准确的边缘检测,最后利用Hough变换定位出车道标识线,完成对车道标识线的识别。实验表明,该方法能实现对复杂环境下车道标识线的准确识别,具有较好的鲁棒性和可靠性。
Accurate detection of lane marks is the most important issue to realize vehicle automatic navigation and safety driving assistant, in order to get an ideal lane marks＇ edge, binarizizing and morphological processing the lane image based on lane edge features, realizing accurate edge detection of the lane area, finally, locat the lane marks by Hough transform and complete with lane marks identification. Experiments show that the method can exactly get identification of lane marks on the complex environment and has good robustness and reliability.
出处
《电子设计工程》
2011年第24期154-157,共4页
Electronic Design Engineering
