Compressed fusion of GNSS and inertial navigation with simultaneous localization and mapping

Kim, J; Cheng, J; Guivant, J; Nieto, J

Compressed fusion of GNSS and inertial navigation with simultaneous localization and mapping

Kim, J

Cheng, J Guivant, J Nieto, J

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Publisher:: Institute of Electrical and Electronics Engineers
Publication Type:: Journal Article
Citation:: IEEE Aerospace and Electronic Systems Magazine, 2017, 32, (8), pp. 22-36
Issue Date:: 2017

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Full metadata record

Field	Value	Language
dc.contributor.author	Kim, J https://orcid.org/0000-0003-4505-1103
dc.contributor.author	Cheng, J
dc.contributor.author	Guivant, J
dc.contributor.author	Nieto, J
dc.date.accessioned	2022-07-12T02:42:23Z
dc.date.available	2022-07-12T02:42:23Z
dc.date.issued	2017
dc.identifier.citation	IEEE Aerospace and Electronic Systems Magazine, 2017, 32, (8), pp. 22-36
dc.identifier.issn	0885-8985
dc.identifier.issn	1557-959X
dc.identifier.uri	http://hdl.handle.net/10453/158792
dc.description.abstract	Unmanned aerial vehicles (UAVs) have attracted significant attention from both civilian and defense industries over the last few decades. With the advances in low-cost inertial sensor technology and the global navigation satellite system (GNSS), the six degreesof-freedom (6DOF) vehicle state can be estimated accurately by fusing this information, which has been a crucial step toward realtime guidance and flight control [1], [2].
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers
dc.relation.ispartof	IEEE Aerospace and Electronic Systems Magazine
dc.relation.isbasedon	10.1109/MAES.2017.160176
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0901 Aerospace Engineering, 0906 Electrical and Electronic Engineering
dc.subject.classification	Aerospace & Aeronautics
dc.title	Compressed fusion of GNSS and inertial navigation with simultaneous localization and mapping
dc.type	Journal Article
utslib.citation.volume	32
utslib.for	0901 Aerospace Engineering
utslib.for	0906 Electrical and Electronic Engineering
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
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2022-07-12T02:42:21Z
pubs.issue	8
pubs.publication-status	Published
pubs.volume	32
utslib.citation.issue	8

Abstract:

Unmanned aerial vehicles (UAVs) have attracted significant attention from both civilian and defense industries over the last few decades. With the advances in low-cost inertial sensor technology and the global navigation satellite system (GNSS), the six degreesof-freedom (6DOF) vehicle state can be estimated accurately by fusing this information, which has been a crucial step toward realtime guidance and flight control [1], [2].

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/158792