Michael Beard

21 papers C 8Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2020 J jnl
A Solution for Large-Scale Multi-Object Tracking.
IEEE Trans. Signal Process.
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2019 J jnl
Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter.
IEEE Trans. Signal Process.
Ba-Ngu Vo, Ba-Tuong Vo, Michael Beard
2018 C conf
Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms.
FUSION
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2017 — conf
OSPA
ICCAIS
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2017 J jnl
Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models.
IEEE Trans. Signal Process.
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
2016 J jnl
An Overview of Particle Methods for Random Finite Set Models.
CoRR
Branko Ristic, Michael Beard, Claudio Fantacci
2016 J jnl
An overview of particle methods for random finite set models.
Inf. Fusion
Branko Ristic, Michael Beard, Claudio Fantacci
2016 C conf
Generalised labelled multi-Bernoulli forward-backward smoothing.
FUSION
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2016 J jnl
Multiple Extended Target Tracking With Labeled Random Finite Sets.
IEEE Trans. Signal Process.
Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel
2015 C conf
A generalised labelled multi-Bernoulli filter for extended multi-target tracking.
FUSION
Michael Beard, Stephan Reuter, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Alexander Scheel
2015 J jnl
Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets.
IEEE Trans. Signal Process.
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2015 — conf
Environment Perception for Companion Systems.
ISCT
Stephan Reuter, Alexander Scheel, Michael Beard, Karl Granström, Ba-Tuong Vo, Ba-Ngu Vo, Klaus Dietmayer
2015 J jnl
Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities.
IEEE Trans. Signal Process.
Francesco Papi, Ba-Ngu Vo, Ba-Tuong Vo, Claudio Fantacci, Michael Beard
2015 C conf
Sensor control for multi-target tracking using Cauchy-Schwarz divergence.
FUSION
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
2015 — conf
Tracking extended targets in high clutter using a GGIW-LMB filter.
SDF
Stephan Reuter, Michael Beard, Karl Granström, Klaus Dietmayer
2014 C conf
Multi-target tracking with merged measurements using labelled random finite sets.
FUSION
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2013 J jnl
A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering.
IEEE Trans. Aerosp. Electron. Syst.
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
2013 J jnl
Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter.
IEEE Signal Process. Lett.
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo
2012 C conf
Gaussian mixture PHD and CPHD filtering with partially uniform target birth.
FUSION
Michael Beard, Ba-Tuong Vo, Ba-Ngu Vo, Sanjeev Arulampalam
2012 C conf
Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking.
FUSION
Michael Beard, Sanjeev Arulampalam
2007 C conf
Comparison of data association algorithms for bearings-only multi-sensor multi-target tracking.
FUSION
Michael Beard, Sanjeev Arulampalam