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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Main Authors: LI Xiang, HUA Yixin, ZHANG Hong, ZHANG Jiangshui
Format: Article
Language:zho
Published: Surveying and Mapping Press 2017-08-01
Series:Acta Geodaetica et Cartographica Sinica
Subjects:
Online Access:http://html.rhhz.net/CHXB/html/2017-8-1034.htm
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spelling 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 AT lixiang positioningcorrectionalgorithmofvectorroadaidedinertialnavigationbasedontheroughfinematchingmethod
AT huayixin positioningcorrectionalgorithmofvectorroadaidedinertialnavigationbasedontheroughfinematchingmethod
AT zhanghong positioningcorrectionalgorithmofvectorroadaidedinertialnavigationbasedontheroughfinematchingmethod
AT zhangjiangshui positioningcorrectionalgorithmofvectorroadaidedinertialnavigationbasedontheroughfinematchingmethod
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