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Robust PMBM Filter with Unknown Detection Probability Based on Feature Estimation
This paper provides a solution for multi-target tracking with unknown detection probability. For the standard Poisson Multi-Bernoulli Mixture (PMBM) filter, the detection probability is generally considered a priori. However, affected by sensors, the features used for detection, and other environmen...
Autores principales: | Wang, Yi, Rao, Peng, Chen, Xin |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143192/ https://www.ncbi.nlm.nih.gov/pubmed/35632139 http://dx.doi.org/10.3390/s22103730 |
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