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Kropfreiter, T., Meyer, F., & Hlawatsch, F. (2020). A Fast Labeled Multi-Bernoulli Filter Using Belief Propagation. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 2478–2488. https://doi.org/10.1109/taes.2019.2941104
IEEE Transactions on Aerospace and Electronic Systems
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ISSN:
0018-9251
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Date (published):
2020
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Number of Pages:
11
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Peer reviewed:
Yes
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Keywords:
Electrical and Electronic Engineering; Aerospace Engineering; message passing; belief propagation; probabilistic data association; multi-object tracking; multi-target tracking; labeled multi-Bernoulli filter
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Abstract:
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.
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Research Areas:
Sensor Systems: 50% Information Systems Engineering: 25% Automation and Robotics: 25%
