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

Lin, S.; Vo, Ba Tuong; Nordholm, Sven

doi:10.1109/ICCAIS.2016.7822442

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Authors

Lin, S.

Vo, Ba Tuong

Nordholm, Sven

Date

2017

Type

Conference Paper

Metadata

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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.

Source Title

2016 International Conference on Control, Automation and Information Sciences (ICCAIS)

DOI

10.1109/ICCAIS.2016.7822442

ISBN

9781509006502

School

Department of Electrical and Computer Engineering

URI

http://hdl.handle.net/20.500.11937/50704

Collection

Curtin Research Publications

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.