基于CCD的智能车导航系统研究

On the Navigation System Based on CCD for Smart Car

目前智能车导航大多采用摄像机来获取路面信息,针对这一特点研究开发了基于CCD的导航模块.详细介绍了CCD视频信号的采集及处理方法.考虑到环境光线的变化会影响导航效果,提出了一种自适应动态阈值图像处理算法;该算法运算量小,能跟踪环境光线的变化.同时给出了系统抗干扰的处理方法,从而有效解决了因外界光线和赛道变化引起的智能车跑偏问题.通过系统实验和竞赛,证明了该导航系统具有良好的智能性和抗干扰能力,即此方案是有效的.

At present most navigation information on the pavement on which a smart car is traveling is acquired by camera. A navigation module is therefore developed, for which how the CCD video signal is acquired and processed are described. Considering the effect of the change of ambient light on the navigation system of the car, an image processing algorithm with adaptive dynamic threshold is proposed to track the change of ambient light and provide an anti-jamming way for the navigation system with short operating time required. The problem that a running car deviates from planned route because of changes of ambient light and raceway can thus be solved efficiently. As a result of test and actual competition, the navigation system showed its intelligence and anti-jamming ability, i.e. , the navigation module is effective.