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dc.contributor.authorDuffield, Samuel
dc.contributor.authorSingh, Sumeetpal
dc.date.accessioned2022-01-06T00:31:45Z
dc.date.available2022-01-06T00:31:45Z
dc.date.issued2022
dc.identifier.issn1053-587X
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/332125
dc.description.abstractWe introduce a novel method for online smoothing in state-space models that utilises a fixed-lag approximation to overcome the well known issue of path degeneracy. Unlike classical fixed-lag techniques that only approximate certain marginals, we introduce an online resampling algorithm, called particle stitching, that converts these marginal samples into a full posterior approximation. We demonstrate the utility of our method in the context of map-matching, the task of inferring a vehicle's trajectory given a road network and noisy GPS observations. We develop a new state-space model for the difficult task of map-matching on dense, urban road networks.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rightsAll Rights Reserved
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserved
dc.titleOnline Particle Smoothing with Application to Map-Matching
dc.typeArticle
dc.publisher.departmentDepartment of Engineering Student
dc.date.updated2022-01-04T15:32:47Z
prism.publicationNameIEEE Transactions on Signal Processing
dc.identifier.doi10.17863/CAM.79571
dcterms.dateAccepted2022-01-01
rioxxterms.versionofrecord10.1109/TSP.2022.3141259
rioxxterms.versionAM
dc.contributor.orcidDuffield, Samuel [0000-0002-8656-8734]
dc.identifier.eissn1941-0476
rioxxterms.typeJournal Article/Review
pubs.funder-project-idEPSRC (1890282)
pubs.funder-project-idEngineering and Physical Sciences Research Council (1890282)
cam.orpheus.successMon Jul 04 07:23:21 BST 2022 - Embargo updated*
cam.orpheus.counter11
cam.depositDate2022-01-04
pubs.licence-identifierapollo-deposit-licence-2-1
pubs.licence-display-nameApollo Repository Deposit Licence Agreement
rioxxterms.freetoread.startdate2022-12-31


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