车载GPS/DR组合在移动道路测量系统中的应用

Application of GPS/DR Integration in Mobile Mapping System

以GPS/DR组合导航为基础,采用机动载体基于"当前"统计模型的联邦卡尔曼滤波方法,通过对两导航系统定位信息的融合,实现低成本动态测量组合在移动道路测量系统中的应用。实测结果表明,通过GPS/DR组合数据的联邦滤波处理,很好地解决了城市道路测量过程中单一GPS定位由于信号缺失以及其他影响因素带来的定位失效问题。GPS/DR组合导航为城市移动道路测量系统提供了很好的定位数据保障。

The fusion algorithm of GPS/DR integration is studied based on Kalman filtering theory and federal Kalman filtering model is founded based on vehicle current statistical model. With the integration of location information of the two navigation systems make low-cost combination of dynamic measurement in mobile mapping system come true. Measured results show that the GPS/DR integration with the federated filter data processing, a good solution to the urban road course measurement as a result of a single GPS positioning signals missing, as well as other factors brought about by the positioning of the impact of failure. GPS/DR integrated navigation for urban mobile mapping system provided a good measurement system of positioning data.