A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps

The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is p...
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Autor*in:	DENG Chen [verfasserIn] YOU Xiong [verfasserIn] ZHANG Weiwei [verfasserIn] ZHI Meixia [verfasserIn]

Format:	E-Artikel
Sprache:	Chinesisch

Erschienen:	2019

Schlagwörter:	outdoor augmented reality argis geo-registration vision-aided registration hybrid registration position-posture sensor evaluation of registration accuracy geo-localization

Übergeordnetes Werk:	In: Acta Geodaetica et Cartographica Sinica - Surveying and Mapping Press, 2014, 48(2019), 10, Seite 1305-1319
Übergeordnetes Werk:	volume:48 ; year:2019 ; number:10 ; pages:1305-1319

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.11947/j.AGCS.2019.20190007

Katalog-ID:	DOAJ049946951

Internformat


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520			\|a The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is proposed with 2D maps to improve the outdoor ARGIS geo-registration accuracy. Based on the initial pose obtained by the pose sensor, the basic principles of image localization and pose optimization based on 2D maps are expounded in detail. The experimental results show that the proposed method can effectively optimize the initial pose obtained by the pose sensor, and thus improve the geo-registration accuracy of outdoor AR.
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allfieldsSound	10.11947/j.AGCS.2019.20190007 doi (DE-627)DOAJ049946951 (DE-599)DOAJ5ec32124ae04471b93584f3b3fd9fccc DE-627 ger DE-627 rakwb chi GA1-1776 DENG Chen verfasserin aut A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is proposed with 2D maps to improve the outdoor ARGIS geo-registration accuracy. Based on the initial pose obtained by the pose sensor, the basic principles of image localization and pose optimization based on 2D maps are expounded in detail. The experimental results show that the proposed method can effectively optimize the initial pose obtained by the pose sensor, and thus improve the geo-registration accuracy of outdoor AR. outdoor augmented reality argis geo-registration vision-aided registration hybrid registration position-posture sensor evaluation of registration accuracy geo-localization Mathematical geography. Cartography YOU Xiong verfasserin aut ZHANG Weiwei verfasserin aut ZHI Meixia verfasserin aut In Acta Geodaetica et Cartographica Sinica Surveying and Mapping Press, 2014 48(2019), 10, Seite 1305-1319 (DE-627)57517014X (DE-600)2445687-1 10011595 nnns volume:48 year:2019 number:10 pages:1305-1319 https://doi.org/10.11947/j.AGCS.2019.20190007 kostenfrei https://doaj.org/article/5ec32124ae04471b93584f3b3fd9fccc kostenfrei http://html.rhhz.net/CHXB/html/2019-10-1305.htm kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei https://doaj.org/toc/1001-1595 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4392 GBV_ILN_4700 AR 48 2019 10 1305-1319
language	Chinese
source	In Acta Geodaetica et Cartographica Sinica 48(2019), 10, Seite 1305-1319 volume:48 year:2019 number:10 pages:1305-1319
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callnumber-first	G - Geography, Anthropology, Recreation
author	DENG Chen
spellingShingle	DENG Chen misc GA1-1776 misc outdoor augmented reality misc argis misc geo-registration misc vision-aided registration misc hybrid registration misc position-posture sensor misc evaluation of registration accuracy misc geo-localization misc Mathematical geography. Cartography A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps
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topic_title	GA1-1776 A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps outdoor augmented reality argis geo-registration vision-aided registration hybrid registration position-posture sensor evaluation of registration accuracy geo-localization
topic	misc GA1-1776 misc outdoor augmented reality misc argis misc geo-registration misc vision-aided registration misc hybrid registration misc position-posture sensor misc evaluation of registration accuracy misc geo-localization misc Mathematical geography. Cartography
topic_unstemmed	misc GA1-1776 misc outdoor augmented reality misc argis misc geo-registration misc vision-aided registration misc hybrid registration misc position-posture sensor misc evaluation of registration accuracy misc geo-localization misc Mathematical geography. Cartography
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title	A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps
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title_full	A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps
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title_sort	vision-aided geo-registration method for outdoor argis in urban environments based on 2d maps
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title_auth	A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps
abstract	The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is proposed with 2D maps to improve the outdoor ARGIS geo-registration accuracy. Based on the initial pose obtained by the pose sensor, the basic principles of image localization and pose optimization based on 2D maps are expounded in detail. The experimental results show that the proposed method can effectively optimize the initial pose obtained by the pose sensor, and thus improve the geo-registration accuracy of outdoor AR.
abstractGer	The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is proposed with 2D maps to improve the outdoor ARGIS geo-registration accuracy. Based on the initial pose obtained by the pose sensor, the basic principles of image localization and pose optimization based on 2D maps are expounded in detail. The experimental results show that the proposed method can effectively optimize the initial pose obtained by the pose sensor, and thus improve the geo-registration accuracy of outdoor AR.
abstract_unstemmed	The accuracy of the outdoor 6DOF absolute pose obtained by the current portable pose sensor is usually insufficient in urban environments, which makes the geo-registration accuracy of outdoor AR poorly. Aiming at this issue, a method and technical framework for outdoor vision-aided localization is proposed with 2D maps to improve the outdoor ARGIS geo-registration accuracy. Based on the initial pose obtained by the pose sensor, the basic principles of image localization and pose optimization based on 2D maps are expounded in detail. The experimental results show that the proposed method can effectively optimize the initial pose obtained by the pose sensor, and thus improve the geo-registration accuracy of outdoor AR.
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title_short	A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps
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A vision-aided geo-registration method for outdoor ARGIS in urban environments based on 2D maps

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