%0 Journal Article
%T GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
%A Hone-Jay Chu
%A Guang-Je Tsai
%A Kai-Wei Chiang
%A Thanh-Trung Duong
%J Sensors
%D 2013
%I MDPI AG
%R 10.3390/s130911280
%X 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.
%K map-matching
%K GPS
%K MEMS IMU
%K Kalman filter
%U http://www.mdpi.com/1424-8220/13/9/11280