基于卫星定位信号的车辆行驶里程计算方法

Vehicle Mileage Calculation Method Based on Satellite Positioning Signals

本文针对当前各种车联网应用服务中,基于车辆实时经纬度信息的里程计算与统计误差问题,提出一种低采样频率下的车辆行驶里程计算方法.首先对起点进行信任度验证,消除起点漂移带来的影响;然后采用连续大角度过滤、大距离过滤、大速度过滤、大加速度过滤相结合的方法进行噪点过滤;在此基础上,采用速度插值与角度插值相结合的方法对弯道进行里程补偿;另外,针对丢点数据,采用基于路径规划的电子地图调用方式进行里程补偿,进一步提高算法的准确性.经实验验证,在较低的位置信号采样频率下,该方法仍有较高的里程计算精确度和执行效率.

Aiming at the problem of mileage calculation and statistical error based on vehicle real-time latitude and longitude information in the current application of vehicle networking, this paper presents a method of computing the vehicle mileage under low frequency of signal sampling. Firstly, the trustworthiness of the starting point is verified to eliminate the influence of the starting point drift. Secondly, the continuous large-angle filter, large distance filter, large speed filter, and large acceleration filter are combined to eliminate the noise. On this basis, velocity interpolation and angular interpolation are combined to compensate for the curve. In addition, for the lost data, mileage compensation is made based on the path planning method of electronic map calls, to further improve the accuracy of the algorithm.Experiments show that this algorithm still has high accuracy and efficiency at the lower position signal sampling frequency.