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Measurement driven birth model for the generalized labeled multi-Bernoulli filter

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Authors
Lin, S.
Vo, Ba Tuong
Nordholm, Sven
Date
2017
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Conference Paper
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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.

Citation
Lin, 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.
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2016 International Conference on Control, Automation and Information Sciences (ICCAIS)
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DOI
Department
Department of Electrical and Computer Engineering