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dc.contributor.authorBaum, Marcus*
dc.date.accessioned2021-02-12T03:37:46Z
dc.date.available2021-02-12T03:37:46Z
dc.date.issued2013*
dc.date.submitted2019-07-30 20:01:57*
dc.identifier34387*
dc.identifier.issn18673813*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/59406
dc.description.abstractThis work is concerned with the simultaneous tracking and shape estimation of a mobile extended object based on noisy sensor measurements. Novel methods are developed for coping with the following two main challenges: i) The computational complexity due to the nonlinearity and high-dimensionality of the problem and ii) the lack of statistical knowledge about possible measurement sources on the extended object.*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruhe Series on Intelligent Sensor-Actuator-Systems / Karlsruher Institut für Technologie, Intelligent Sensor-Actuator-Systems Laboratory*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherTracking*
dc.subject.othershape estimation*
dc.subject.othernonlinear state estimation*
dc.subject.otherextended objects*
dc.titleSimultaneous Tracking and Shape Estimation of Extended Objects*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000035959*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731500780*
oapen.pagesXII, 162 p.*
oapen.volume13*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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