48 citations · 111 across the 15 of their papers we have counts for
17 papers
Fusion of finite set distributions: Pointwise consistency and global cardinality
Murat Üney, Jérémie Houssineau, Emmanuel Delande +2
A recent trend in distributed multi-sensor fusion is to use random finite set filters at the sensor nodes and fuse the filtered distributions algorithmically using their exponentia…
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…
Bayesian data assimilation based on a family of outer measures
Jeremie Houssineau, Daniel E. Clark
A flexible representation of uncertainty that remains within the standard framework of probabilistic measure theory is presented along with a study of its properties. This represen…
On a representation of partially-distinguishable populations
Jeremie Houssineau, Daniel E. Clark
A representation of heterogeneous stochastic populations that are composed of sub-populations with different levels of distinguishability is introduced together with an analysis of…