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...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yi, Rao, Peng, Chen, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9143192/
https://www.ncbi.nlm.nih.gov/pubmed/35632139
http://dx.doi.org/10.3390/s22103730

Ejemplares similares