Simultaneous Localization and Mapping: Exactly Sparse Information Filters

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dc.contributor.author Wang, Z
dc.contributor.author Huang, S
dc.contributor.author Dissanayake, G
dc.date.accessioned 2012-10-12T03:30:40Z
dc.date.issued 2011-01
dc.identifier.citation 2011, 1
dc.identifier.isbn 981-4350-31-1
dc.identifier.other A1 en_US
dc.identifier.uri http://hdl.handle.net/10453/17712
dc.description.abstract Simultaneous localization and mapping (SLAM) is a process where an autonomous vehicle builds a map of an unknown environment while concurrently generating an estimate for its location. This book is concerned with computationally efficient solutions to the large scale SLAM problems using exactly sparse Extended Information Filters (EIF). The invaluable book also provides a comprehensive theoretical analysis of the properties of the information matrix in EIF-based algorithms for SLAM. Three exactly sparse information filters for SLAM are described in detail, together with two efficient and exact methods for recovering the state vector and the covariance matrix. Proposed algorithms are extensively evaluated both in simulation and through experiments.
dc.publisher World Scientific
dc.title Simultaneous Localization and Mapping: Exactly Sparse Information Filters
dc.type Book
dc.journal.number en_US
dc.publocation Singapore en_US
dc.publocation Italy
dc.identifier.startpage en_US
dc.identifier.endpage en_US
dc.cauo.name FEIT.School of Elec, Mech and Mechatronic Systems en_US
dc.conference Verified OK en_US
dc.conference Structural Engineers World Congress
dc.for 0913 Mechanical Engineering
dc.for 0801 Artificial Intelligence and Image Processing
dc.personcode 011224
dc.personcode 040006
dc.personcode 101889
dc.percentage 50 en_US
dc.classification.name Mechanical Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition 1 en_US
dc.custom en_US
dc.date.activity en_US
dc.date.activity 2011-04-04
dc.location.activity en_US
dc.location.activity Como, Italy
dc.description.keywords NA en_US
dc.description.keywords constitutive model, fire, concrete, elevated temperature, residual tension strength, tensile stress-strain relationship
pubs.embargo.period Not known
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/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:17:09.805752+10
utslib.collection.history Closed (ID: 3)


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