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Multi-Objective Optimization Based Multi-Bernoulli Sensor Selection for Multi-Target Tracking
This paper presents a novel multi-objective optimization based sensor selection method for multi-target tracking in sensor networks. The multi-target states are modelled as multi-Bernoulli random finite sets and the multi-Bernoulli filter is used to propagate the multi-target posterior density. The...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6412455/ https://ncbi.nlm.nih.gov/pubmed/30823618 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19040980 |
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