113 citations · 598 across the 33 of their papers we have counts for
4 papers · 1 filter
Invertible Particle Flow-based Sequential MCMC with extension to Gaussian Mixture noise models
Yunpeng Li, Soumyasundar Pal, Mark Coates
Sequential state estimation in non-linear and non-Gaussian state spaces has a wide range of applications in statistics and signal processing. One of the most effective non-linear f…
A multi-sensor multi-Bernoulli filter
Augustin-Alexandru Saucan, Mark Coates, Michael Rabbat
In this paper we derive a multi-sensor multi-Bernoulli (MS-MeMBer) filter for multi-target tracking. Measurements from multiple sensors are employed by the proposed filter to updat…
Particle Filtering with Invertible Particle Flow
Yunpeng Li, Mark Coates
A key challenge when designing particle filters in high-dimensional state spaces is the construction of a proposal distribution that is close to the posterior distribution. Recent…
Multisensor CPHD filter
Santosh Nannuru, Stephane Blouin, Mark Coates +1
The single sensor probability hypothesis density (PHD) and cardinalized probability hypothesis density (CPHD) filters have been developed in the literature using the random finite…