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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Detalles Bibliográficos
Autores principales: Zhu, Yun, Wang, Jun, Liang, Shuang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412455/
https://www.ncbi.nlm.nih.gov/pubmed/30823618
http://dx.doi.org/10.3390/s19040980

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412455/
https://www.ncbi.nlm.nih.gov/pubmed/30823618
http://dx.doi.org/10.3390/s19040980

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