The Labeled Multi-Bernoulli Filter
The Labeled Multi-Bernoulli Filter
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DOI:
10.1109/tsp.2014.2323064
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发表时间:
2014-06-01
影响因子:
5.4
通讯作者:
Dietmayer, Klaus
中科院分区:
文献类型:
--
作者:
Reuter, Stephan;Vo, Ba-Tuong;Dietmayer, Klaus
This paper proposes a generalization of the multi-Bernoulli filter called the labeled multi-Bernoulli filter that outputs target tracks. Moreover, the labeled multi-Bernoulli filter does not exhibit a cardinality bias due to a more accurate update approximation compared to the multi-Bernoulli filter by exploiting the conjugate prior form for labeled Random Finite Sets. The proposed filter can be interpreted as an efficient approximation of the delta-Generalized Labeled Multi-Bernoulli filter. It inherits the advantages of the multi-Bernoulli filter in regards to particle implementation and state estimation. It also inherits advantages of the delta-Generalized Labeled Multi-Bernoulli filter in that it outputs (labeled) target tracks and achieves better performance.