Globally optimal consensus maximization for robust visual inertial localization in point and line map

Jiao, Y; Wang, Y; Fu, B; Tan, Q; Chen, L; Wang, M; Huang, S; Xiong, R

Globally optimal consensus maximization for robust visual inertial localization in point and line map

Jiao, Y Wang, Y Fu, B Tan, Q Chen, L Wang, M Huang, S

Xiong, R

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Publisher:: IEEE
Publication Type:: Journal Article
Citation:: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, 00, pp. 4631-4638
Issue Date:: 2020-10-24

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Field	Value	Language
dc.contributor.author	Jiao, Y
dc.contributor.author	Wang, Y
dc.contributor.author	Fu, B
dc.contributor.author	Tan, Q
dc.contributor.author	Chen, L
dc.contributor.author	Wang, M
dc.contributor.author	Huang, S https://orcid.org/0000-0002-6124-4178
dc.contributor.author	Xiong, R
dc.date.accessioned	2021-03-30T04:42:39Z
dc.date.available	2021-03-30T04:42:39Z
dc.date.issued	2020-10-24
dc.identifier.citation	2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020, 00, pp. 4631-4638
dc.identifier.uri	http://hdl.handle.net/10453/147659
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
dc.relation.isbasedon	10.1109/iros45743.2020.9340715
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Globally optimal consensus maximization for robust visual inertial localization in point and line map
dc.type	Journal Article
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-02-10T00:00:00+1000Z
dc.date.updated	2021-03-30T04:42:37Z
pubs.publication-status	Published
pubs.volume	00

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