48 citations · 111 across the 15 of their papers we have counts for
3 papers · 1 filter
Latent Parameter Estimation in Fusion Networks Using Separable Likelihoods
Murat Uney, Bernard Mulgrew, Daniel E Clark
Multi-sensor state space models underpin fusion applications in networks of sensors. Estimation of latent parameters in these models has the potential to provide highly desirable c…
Single-cluster PHD filter methods for joint multi-object filtering and parameter estimation
Isabel Schlangen, Daniel E. Clark, Emmanuel D. Delande
Many multi-object estimation problems require additional estimation of model or sensor parameters that are either common to all objects or related to unknown characterisation of on…
A second-order PHD filter with mean and variance in target number
Isabel Schlangen, Emmanuel D. Delande, Jeremie Houssineau +1
The Probability Hypothesis Density (PHD) and Cardinalized PHD (CPHD) filters are popular solutions to the multi-target tracking problem due to their low complexity and ability to e…