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-...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2013-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/13/9/11280 |
| _version_ | 1811279119604776960 |
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| author | Thanh-Trung Duong Guang-Je Tsai Hone-Jay Chu Kai-Wei Chiang |
| author_facet | Thanh-Trung Duong Guang-Je Tsai Hone-Jay Chu Kai-Wei Chiang |
| author_sort | Thanh-Trung Duong |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-13T00:49:02Z |
| format | Article |
| id | doaj.art-b2d34b96992d47eaadb7af958c33a7a9 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-13T00:49:02Z |
| publishDate | 2013-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-b2d34b96992d47eaadb7af958c33a7a92022-12-22T03:09:55ZengMDPI AGSensors1424-82202013-08-01139112801128810.3390/s130911280GPS/MEMS INS Data Fusion and Map Matching in Urban AreasThanh-Trung DuongGuang-Je TsaiHone-Jay ChuKai-Wei ChiangThis 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.http://www.mdpi.com/1424-8220/13/9/11280map-matchingGPSMEMS IMUKalman filter |
| spellingShingle | Thanh-Trung Duong Guang-Je Tsai Hone-Jay Chu Kai-Wei Chiang GPS/MEMS INS Data Fusion and Map Matching in Urban Areas Sensors map-matching GPS MEMS IMU Kalman filter |
| 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 | map-matching GPS MEMS IMU Kalman filter |
| url | http://www.mdpi.com/1424-8220/13/9/11280 |
| work_keys_str_mv | AT thanhtrungduong gpsmemsinsdatafusionandmapmatchinginurbanareas AT guangjetsai gpsmemsinsdatafusionandmapmatchinginurbanareas AT honejaychu gpsmemsinsdatafusionandmapmatchinginurbanareas AT kaiweichiang gpsmemsinsdatafusionandmapmatchinginurbanareas |