BN Vo, BT Vo, D Phung - IEEE Transactions on Signal …, 2014 - ieeexplore.ieee.org
An analytic solution to the multi-target Bayes recursion known as the δ-Generalized Labeled Multi-Bernoulli (δ-GLMB) filter has been recently proposed by Vo and Vo in [“Labeled …
The standard formulation of the probability hypothesis density (PHD) and cardinalised PHD (CPHD) filters assumes that the target birth intensity is known a priori. In situations where the …
In multiobject inference, the multiobject probability density captures the uncertainty in the number and the states of the objects as well as the statistical dependence between the …
BN Vo, BT Vo, M Beard - IEEE Transactions on Signal …, 2019 - ieeexplore.ieee.org
This paper proposes an efficient implementation of the multi-sensor generalized labeled multi-Bernoulli (GLMB) filter. Like its single-sensor counterpart, such implementation …
B Ristic, D Clark, BN Vo - 2010 13th International Conference …, 2010 - ieeexplore.ieee.org
The paper makes two contributions. First, a new formulation of the PHD filter which distinguishes between persistent and newborn objects is presented. This formulation results …
B Ristic, BN Vo, D Clark - IEEE Transactions on Aerospace and …, 2011 - ieeexplore.ieee.org
The context is sensor control for multi-object Bayes filtering in the framework of partially observed Markov decision processes (POMDPs). The current information state is …
F Papi, DY Kim - IEEE Transactions on Signal Processing, 2015 - ieeexplore.ieee.org
In this paper we present a general solution for multi-target tracking with superpositional measurements. Measurements that are functions of the sum of the contributions of the …
B Wei, BD Nener - IEEE Access, 2019 - ieeexplore.ieee.org
As a result of the dependence worldwide on satellite technology, it is now necessary to use advanced multi-target tracking algorithms for space debris tracking systems to maintain …