作　　者： ; ; ;

机构地区： 重庆大学自动化学院

出　　处： 《重庆大学学报（自然科学版）》 2006年第8期87-90,共4页

摘　　要： 为了解决汽车智能辅助驾驶系统道路识别中的一般方法对路面适应性不强,实时性不够等缺点,在图像边缘提取确定了汽车行驶路面区域和路面边缘点的基础上,运用中值截距(Med ian of theIntercepts)与样条函数相结合的方法对道路进行分段拟合,从而找到道路边界轨迹.提出了一种实时、有效的高速公路路面检测算法,该方法能准确地估算公路延伸方向,为实现汽车防偏预报提供了可靠的依据,同时结合存在的问题进行了有益的探讨. To solve the problem of lane detection in intelligent auxiliary driving system and as the common ways have some shortcoming such as less real-time and adaptive, the paper raises a new way. Based on the edge being extracted, the feature model of lane markings is built by combining the Median of the Intercepts and the spline. One effective and real time method in highway surface searching and following is presented. The result proves that the method can figure out the way stretching correctly. And therefore, it provides reliable information for the vehicle to be self-anti-deviation. At the same time, it also supplies some valuable discussion on problems existing in its experiments.

关 键 词： 计算机视觉 模式识别 中值截距 样条函数

领　　域： [自动化与计算机技术] [自动化与计算机技术]