关键词: 车载远程设备；低成本 T-box；拟合汽车路线去噪；最小二乘法；扩展卡尔曼滤波； 多信息融合；定位数据

Abstract: The vehicle on-board remote equipment T-box has the functions of vehicle remote diagnosis and monitoring. The accuracy of the low-cost T-box positioning receiving module is low, and it is susceptible to high-rise or elevated buildings in the city. In order to solve the locating problem of low cost locating module in T-box, a method of improving navigation precision by removing high noise data points and multiple data fusion is proposed. T-box is equipped with MIMU inertial module and OBD module, acquisition of inertial data and vehicle speed. Least squares method to fit the route of the car to remove the original positioning data of high noise latitude and longitude data points. Finally, with the car speed and inertial data to expand Karlman filter to obtain new longitude and latitude data fusion, compared with the high-precision positioning data, the method can effectively improve the low-cost T-box positioning accuracy.

Key words: Vehicle remote equipment; Low cost T-box; Fitting car route denoising; Least squares method; Extended kalman filter; Multi-Information combination; Positioning data