高级车辆控制系统中道路检测的实现方法

Method of realizing road detection in advanced vehicle control system

高级车辆控制系统(AVCS)是智能运输系统(ITS)的重要组成部分,是图像处理的重要研究方向.道路检测是该系统正确实现的前提.提出了一种道路检测的实现方法:首先,在预处理阶段应用中值滤波对图像进行了去噪处理;其次,利用现实中正常情况下车辆正前方下区域总是为背景区域的常理,提出了一种局部平均值的方法取得背景;最后,利用了最小二乘法进行直线拟合得到车辆行驶的当前车道.软件模拟试验证明该方法简单,效果较为理想.

Advanced Vehicle Control System （AVCS） is one ot the most important parts of intelligence transportation system （ITS）, and image processing is the hot research direction in this field. The road detection is a prerequisite for realizing the system. A method of realizing road detection was put forward. Firstly, in the pretreatment duration, median filter algorithm was applied to eliminate the noise. Secondly, based on a general knowledge that there exists certain background area in front of the vehicle, a method of obtaining partial average value was given to pick-up background. Eventually, the minimum bi-multiplication algorithm was employed to match straight line and get the current path of the driving vehicle. Software simulation proves the method is rather simple and more effective.