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GPS/MEMS INS Data Fusion and Map Matching in Urban Areas

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-...

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Detalles Bibliográficos
Autores principales: Chu, Hone-Jay, Tsai, Guang-Je, Chiang, Kai-Wei, Duong, Thanh-Trung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821347/
https://www.ncbi.nlm.nih.gov/pubmed/23979480
http://dx.doi.org/10.3390/s130911280
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author Chu, Hone-Jay
Tsai, Guang-Je
Chiang, Kai-Wei
Duong, Thanh-Trung
author_facet Chu, Hone-Jay
Tsai, Guang-Je
Chiang, Kai-Wei
Duong, Thanh-Trung
author_sort Chu, Hone-Jay
collection PubMed
description 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.
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spelling pubmed-38213472013-11-09 GPS/MEMS INS Data Fusion and Map Matching in Urban Areas Chu, Hone-Jay Tsai, Guang-Je Chiang, Kai-Wei Duong, Thanh-Trung Sensors (Basel) Article 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. MDPI 2013-08-23 /pmc/articles/PMC3821347/ /pubmed/23979480 http://dx.doi.org/10.3390/s130911280 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Chu, Hone-Jay
Tsai, Guang-Je
Chiang, Kai-Wei
Duong, Thanh-Trung
GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
title GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
title_full GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
title_fullStr GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
title_full_unstemmed GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
title_short GPS/MEMS INS Data Fusion and Map Matching in Urban Areas
title_sort gps/mems ins data fusion and map matching in urban areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821347/
https://www.ncbi.nlm.nih.gov/pubmed/23979480
http://dx.doi.org/10.3390/s130911280
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