Department of Geomatics, National Cheng Kung University, Tainan 701, Taiwan.
Sensors (Basel). 2013 Aug 23;13(9):11280-8. doi: 10.3390/s130911280.
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.
本文对一种集成 GPS/INS 系统的地图匹配方案进行了评估。在基于 GPS/MEMS IMU 的导航系统应用中，数据融合和地图匹配是改善系统性能的有效方法。本研究在卡尔曼滤波后采用曲线到曲线匹配算法来修正不匹配并消除冗余。通过应用数据融合和地图匹配，本研究能够轻松地将 GPS/INS 轨迹映射到道路网络上。研究结果表明，这些算法在控制 INS 漂移误差方面非常有效，并显示了低成本 MEMS IMU 在导航应用中的潜力。
