GPS/MEMS INS data fusion and map matching in urban areas.
GPS/MEMS INS data fusion and map matching in urban areas.
复制标题
DOI：
10.3390/s130911280
复制
发表时间：
2013-08-23
期刊：
影响因子：
--
通讯作者：
Duong TT
中科院分区：
文献类型：
--
作者：
Chu HJ;Tsai GJ;Chiang KW;Duong TT
本文对GPS/INS一体化城市地图匹配方案进行了评价。基于卡尔曼滤波的数据融合和地图匹配是提高GPS/MEMS imu导航系统应用性能的有效方法。研究采用卡尔曼滤波后的曲线与曲线匹配算法来校正失配，消除冗余。通过数据融合和地图匹配，本研究轻松完成了GPS/INS轨迹在道路网络上的映射。结果证明了算法在控制惯导系统漂移误差方面的有效性，并表明了低成本MEMS imu在导航应用中的潜力。
This paper presents an evaluation of the map-matching scheme of an integrated GPS/INS system in urban areas. Data fusion using a Kalman filter and map matching are effective approaches to improve the performance of navigation system applications based on GPS/MEMS IMUs. The study considers the curve-to-curve matching algorithm after Kalman filtering to correct mismatch and eliminate redundancy. By applying data fusion and map matching, the study easily accomplished mapping of a GPS/INS trajectory onto the road network. The results demonstrate the effectiveness of the algorithms in controlling the INS drift error and indicate the potential of low-cost MEMS IMUs in navigation applications.