Abstract: 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.
The map-matching approach, which can be used to enhance the performance of the integrated GPS/MEMS system, is addressed in REF .
GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Medicine Engineering Computer Science