@article{ref1,
title="GPS/MEMS INS data fusion and map matching in urban areas",
journal="Sensors (Basel)",
year="2013",
author="Chu, Hone-Jay and Tsai, Guang-Je and Chiang, Kai-Wei and Duong, Thanh-Trung",
volume="13",
number="9",
pages="11280-11288",
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.<p /> <p>Language: en</p>",
language="en",
issn="1424-8220",
doi="10.3390/s130911280",
url="http://dx.doi.org/10.3390/s130911280"
}