Improved Intelligent Vehicle Localization Using Magnetic Ruler

Improved Intelligent Vehicle Localization Using Magnetic Ruler

This paper proposes an improved intelligent vehicle localization method, which integrates the data from the odometry and the magnetic ruler(MR). The MR is used to detect the magnetic markers, which provides the absolute positioning reference. The data from odometry and the MR are used to localize th...

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Bibliographic Details
Main Authors: Chunxiang Wang, Ming Yang, Bing Wang, Haigui Xu, Hao Li
Format: Article
Language:English
Published: Atlantis Press 2011-05-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Unscented Kalman filter
Dead reckoning
Data association
Magnetic ruler
Intelligent vehicle localization
Online Access:https://www.atlantis-press.com/article/2170.pdf
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spelling doaj-81b3bdff19644653ab1b0417e19bb8db2020-11-25T01:42:38ZengAtlantis PressInternational Journal of Computational Intelligence Systems 1875-68832011-05-014310.2991/ijcis.2011.4.3.14Improved Intelligent Vehicle Localization Using Magnetic RulerChunxiang WangMing YangBing WangHaigui XuHao LiThis paper proposes an improved intelligent vehicle localization method, which integrates the data from the odometry and the magnetic ruler(MR). The MR is used to detect the magnetic markers, which provides the absolute positioning reference. The data from odometry and the MR are used to localize the vehicle by using unscented Kalman filter. The data association (DA) method is adopted to validate the observations from the MR. The experiment results show that the method is a robust way.https://www.atlantis-press.com/article/2170.pdfUnscented Kalman filterDead reckoningData associationMagnetic rulerIntelligent vehicle localization
collection DOAJ
language English
format Article
sources DOAJ
author Chunxiang Wang
Ming Yang
Bing Wang
Haigui Xu
Hao Li
spellingShingle Chunxiang Wang
Ming Yang
Bing Wang
Haigui Xu
Hao Li
Improved Intelligent Vehicle Localization Using Magnetic Ruler
International Journal of Computational Intelligence Systems
Unscented Kalman filter
Dead reckoning
Data association
Magnetic ruler
Intelligent vehicle localization
author_facet Chunxiang Wang
Ming Yang
Bing Wang
Haigui Xu
Hao Li
author_sort Chunxiang Wang
title Improved Intelligent Vehicle Localization Using Magnetic Ruler
title_short Improved Intelligent Vehicle Localization Using Magnetic Ruler
title_full Improved Intelligent Vehicle Localization Using Magnetic Ruler
title_fullStr Improved Intelligent Vehicle Localization Using Magnetic Ruler
title_full_unstemmed Improved Intelligent Vehicle Localization Using Magnetic Ruler
title_sort improved intelligent vehicle localization using magnetic ruler
publisher Atlantis Press
series International Journal of Computational Intelligence Systems
issn 1875-6883
publishDate 2011-05-01
description This paper proposes an improved intelligent vehicle localization method, which integrates the data from the odometry and the magnetic ruler(MR). The MR is used to detect the magnetic markers, which provides the absolute positioning reference. The data from odometry and the MR are used to localize the vehicle by using unscented Kalman filter. The data association (DA) method is adopted to validate the observations from the MR. The experiment results show that the method is a robust way.
topic Unscented Kalman filter
Dead reckoning
Data association
Magnetic ruler
Intelligent vehicle localization
url https://www.atlantis-press.com/article/2170.pdf
work_keys_str_mv AT chunxiangwang improvedintelligentvehiclelocalizationusingmagneticruler
AT mingyang improvedintelligentvehiclelocalizationusingmagneticruler
AT bingwang improvedintelligentvehiclelocalizationusingmagneticruler
AT haiguixu improvedintelligentvehiclelocalizationusingmagneticruler
AT haoli improvedintelligentvehiclelocalizationusingmagneticruler
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