Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method
In the passive environment, accumulated positioning errors of the inertial navigation system (INS) could not be corrected by satellite navigation and positioning, a rough/fine matching method based on high-precision road data was proposed to adjust the vehicle trajectory data acquired by INS. Firstl...
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doaj-12e129060ba14efc9fc2072f9efaad042020-11-24T21:58:14ZzhoSurveying and Mapping PressActa Geodaetica et Cartographica Sinica1001-15951001-15952017-08-014681034104610.11947/j.AGCS.2017.2016046920170920160469Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching MethodLI Xiang0HUA Yixin1ZHANG Hong2ZHANG Jiangshui3Institute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaInstitute of Geospatial Information, Information Engineering University, Zhengzhou 450001, ChinaIn the passive environment, accumulated positioning errors of the inertial navigation system (INS) could not be corrected by satellite navigation and positioning, a rough/fine matching method based on high-precision road data was proposed to adjust the vehicle trajectory data acquired by INS. Firstly, by analyzing the feature label point and its minimum bounding rectangle in inertial trajectory, the obvious error matching road and redundant road could be eliminated and the candidate matching road sets could be captured. Then, with the advantages of high precision and stable matching result, the ICCP algorithm was built to compensate and correct the positioning errors caused by INS. Finally, the matching variance and history matching results could be used to judge whether the matching results were correct. Simulation results illustrated that this method could improve the correction accuracy and reduce the false matching results in the complex road intersections.http://html.rhhz.net/CHXB/html/2017-8-1034.htmrough/fine matchingvector roadtrajectory featurethe feature label pointICCP algorithm |
collection |
DOAJ |
language |
zho |
format |
Article |
sources |
DOAJ |
author |
LI Xiang HUA Yixin ZHANG Hong ZHANG Jiangshui |
spellingShingle |
LI Xiang HUA Yixin ZHANG Hong ZHANG Jiangshui Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method Acta Geodaetica et Cartographica Sinica rough/fine matching vector road trajectory feature the feature label point ICCP algorithm |
author_facet |
LI Xiang HUA Yixin ZHANG Hong ZHANG Jiangshui |
author_sort |
LI Xiang |
title |
Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method |
title_short |
Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method |
title_full |
Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method |
title_fullStr |
Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method |
title_full_unstemmed |
Positioning Correction Algorithm of Vector Road Aided Inertial Navigation Based on the Rough/Fine Matching Method |
title_sort |
positioning correction algorithm of vector road aided inertial navigation based on the rough/fine matching method |
publisher |
Surveying and Mapping Press |
series |
Acta Geodaetica et Cartographica Sinica |
issn |
1001-1595 1001-1595 |
publishDate |
2017-08-01 |
description |
In the passive environment, accumulated positioning errors of the inertial navigation system (INS) could not be corrected by satellite navigation and positioning, a rough/fine matching method based on high-precision road data was proposed to adjust the vehicle trajectory data acquired by INS. Firstly, by analyzing the feature label point and its minimum bounding rectangle in inertial trajectory, the obvious error matching road and redundant road could be eliminated and the candidate matching road sets could be captured. Then, with the advantages of high precision and stable matching result, the ICCP algorithm was built to compensate and correct the positioning errors caused by INS. Finally, the matching variance and history matching results could be used to judge whether the matching results were correct. Simulation results illustrated that this method could improve the correction accuracy and reduce the false matching results in the complex road intersections. |
topic |
rough/fine matching vector road trajectory feature the feature label point ICCP algorithm |
url |
http://html.rhhz.net/CHXB/html/2017-8-1034.htm |
work_keys_str_mv |
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_version_ |
1725852901935415296 |