Analytic Performance Prediction of Track-to-Track Association with Biased Data in Multi-Sensor Multi-Target Tracking Scenarios

An analytic method for predicting the performance of track-to-track association (TTTA) with biased data in multi-sensor multi-target tracking scenarios is proposed in this paper. The proposed method extends the existing results of the bias-free situation by accounting for the impact of sensor biases...

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Detalles Bibliográficos
Autores principales: Tian, Wei, Wang, Yue, Shan, Xiuming, Yang, Jian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821340/
https://www.ncbi.nlm.nih.gov/pubmed/24036583
http://dx.doi.org/10.3390/s130912244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3821340/
https://www.ncbi.nlm.nih.gov/pubmed/24036583
http://dx.doi.org/10.3390/s130912244

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