基于图像卷积的地图匹配算法

地图匹配定位是一种主流的车载导航定位方法，其以车辆轨迹数据和路网地图为基础，将车辆位置估计输出到路网地图上。该过程可对车辆定位结果进行修正，是车辆导航、交通诱导、交通预测等应用的基础。针对现有地图匹配算法存在的一些问题，如算法流程依赖路口匹配精度，在较大初始误差场景下寻路正确率较低，以及寻路结果错误易影响后续匹配精度等，提出了一种基于图像卷积的地图匹配方法。利用图像卷积方式对比了车辆轨迹与道路的几何特征，以实现匹配定位，从而确保了初始误差较大场景下的匹配精度，并且避免了由寻路错误所引发的相关问题。

Map Match Algorithm Based on Graphic Convolution

Map match is a mainstream on board positioning method. Based on the track information and road map, the vehicle position is estimated on the road map and positioning error can be updated by this method. And this method becomes the base of vehicle navigation, traffic guidance and traffic prediction. But there are disadvantages of current map match algorithms, such as match process relying on road searching precision and road searching fail with large initial position error which cause following match error. A map match algorithm based on graphic convolution is presented to avoid the error caused by incorrect intersection match and large initial error. The map match method algorithm based on graphic convolution contrast the geometry characteristic of vehicle track and road to locate vehicle position. This map match algorithm is fit in large initial position error scene and avoid road searching fail problem.