自学习式GPS车辆自主导航仪的研究

Research of self-study type GPS vehicle autonomous navigation instrument

提出一种用GPS接收机通过自学习方式进行车辆自主导航和引导的方法。该方法首先对GPS接收机接收的定位信息通过回归算法进行线性化处理,然后以线性相关系数判断为准则对路径信息进行分段,再将这些线性相关的分段直线信息进行压缩和记录就形成了可以自主导航的路径信息。在导航过程中,利用这些线性相关的分段直线信息,通过矢量夹角计算和矢量方向判断的方法可以预测出前方路径的行驶方向,从而完成自主导航。这种由自学习方式获取的导航路径信息具有很高的导航精度和方向判别性。

A self-study type vehicle autonomous navigation method using GPS receiver is introduced. In this method, the position information received by GPS receiver is linear processed through regression algorithm, and track information is divided into sections based on linear correlation coefficients, then the linear correlated sectioned beeline information is compressed and recorded to form the track information of autonomous navigation. In navigation process, the moving direction of the track can be predicted by calculating the vector angle and judging the vector direction from the sectioned beeline information, and the autonomous navigation is realized. The autonomous navigation track information obtained by the proposed method features high navigation accuracy and direction prediction capability.