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dc.contributor.authorLin, S.
dc.contributor.authorVo, Ba Tuong
dc.contributor.authorNordholm, Sven
dc.date.accessioned2017-03-15T22:27:37Z
dc.date.available2017-03-15T22:27:37Z
dc.date.created2017-03-14T06:55:54Z
dc.date.issued2017
dc.identifier.citationLin, S. and Vo, B.T. and Nordholm, S. 2017. Measurement driven birth model for the generalized labeled multi-Bernoulli filter, 2016 International Conference on Control, Automation and Information Sciences (ICCAIS), 27-29 Oct. 2016 , pp. 94-99: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/50704
dc.identifier.doi10.1109/ICCAIS.2016.7822442
dc.description.abstract

This paper presents a measurement driven birth (MDB) model for the generalized labeled multi-Bernoulli (GLMB) filter. The MDB model adaptively generates target births based on measurement data, thereby eliminating the dependence of a priori knowledge of target birth distributions. Numerical results are provided to demonstrate the performance.

dc.titleMeasurement driven birth model for the generalized labeled multi-Bernoulli filter
dc.typeConference Paper
dcterms.source.startPage94
dcterms.source.endPage99
dcterms.source.title2016 International Conference on Control, Automation and Information Sciences (ICCAIS)
dcterms.source.series2016 International Conference on Control, Automation and Information Sciences, ICCAIS 2016
dcterms.source.isbn9781509006502
curtin.departmentDepartment of Electrical and Computer Engineering
curtin.accessStatusFulltext not available


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