Detail publikačního výsledku

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

KROPFREITER, T.; MEYER, F.; HLAWATSCH, F.

Originální název

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

Anglický název

A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation

Druh

Článek WoS

Originální abstrakt

We propose a fast labeled multi-Bernoulli (LMB) filter that uses belief propagation for probabilistic data association. The complexity of our filter scales only linearly in the numbers of Bernoulli components and measurements, while the performance is comparable to or better than that of the Gibbs sampler-based LMB filter.

Anglický abstrakt

We propose a fast labeled multi-Bernoulli (LMB) filter that uses belief propagation for probabilistic data association. The complexity of our filter scales only linearly in the numbers of Bernoulli components and measurements, while the performance is comparable to or better than that of the Gibbs sampler-based LMB filter.

Klíčová slova

random finite sets; tracking

Klíčová slova v angličtině

random finite sets; tracking

Autoři

KROPFREITER, T.; MEYER, F.; HLAWATSCH, F.

Rok RIV

2021

Vydáno

13.09.2019

ISSN

0018-9251

Periodikum

IEEE Transactions on Aerospace and Electronic Systems

Svazek

56

Číslo

3

Stát

Spojené státy americké

Strany od

2478

Strany do

2488

Strany počet

11

URL

https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/8836103

BibTex

@article{BUT170628,
  author="Thomas {Kropfreiter} and Florian {Meyer} and Franz {Hlawatsch}",
  title="A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation",
  journal="IEEE Transactions on Aerospace and Electronic Systems",
  year="2019",
  volume="56",
  number="3",
  pages="2478--2488",
  doi="10.1109/TAES.2019.2941104",
  issn="0018-9251",
  url="https://ieeexplore-ieee-org.ezproxy.lib.vutbr.cz/document/8836103"
}