车载组合导航数据处理方法研究

在运用组合导航技术进行车辆定位导航过程中,由于环境、导航设备等因素的干扰,导航数据中会包含有较大误差的野值数据,使得导航结果与实际车辆的行驶轨迹发生较大偏差,从而给人们的日常生活带来不便。一方面,错误的导航信息会给用户增加不必要的麻烦,影响智能交通系统的发展;另一方面也影响组合导航技术的应用和推广。为此,本文提出了对车辆低速和车辆停止时的定位数据进行剔除,利用粗差剔除和多项式拟合等方法对定位数据进行分析处理,提高导航定位的准确性。跑车试验证明该方法可以有效地提高定位精度,满足车载导航的需求。

Research on the Method of Vehicular Integrated Navigation Sate Processing

With integrated navigation technology in the process of vehicle location and navigation,the interference due to factors such as environment,navigation equipment,and navigation data will contain a large error in the data of outliers and make navigation in great deviation of the movement track of the results and the actual vehicle,thus causing inconvenience to people~ daily life.On the one hand,the error of navigation information can give users increasing unnecessary trouble,and influence the development of intelligent transportation system.On the other hand,it also influences the application and promotion of integrated navigation technology.Therefore,this article puts forward the location data for low speed and vehicle stops positioning data,by using the methods of gross error elimination and polynomial fitting analysis of positioning data processing to improve the accuracy of the navigation and positioning.Sports car test proved that the method can effectively improve the positioning accuracy and meet the needs of vehicle navigation.