Comparison of data association algorithms for bearings-only multi-sensor multi-target tracking. - Michael Beard; Sanjeev Arulampalam (FUSION, 2007)

Performance of PHD and CPHD filtering versus JIPDA for bearings-only multi-target tracking. - Michael Beard; Sanjeev Arulampalam (FUSION, 2012)

Gaussian mixture PHD and CPHD filtering with partially uniform target birth. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (FUSION, 2012)

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Signal Process. Lett., 2013)

A Partially Uniform Target Birth Model for Gaussian Mixture PHD/CPHD Filtering. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (IEEE Trans. Aerosp. Electron. Syst., 2013)

Multi-target tracking with merged measurements using labelled random finite sets. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2014)

Environment Perception for Companion Systems. - Stephan Reuter; Alexander Scheel; Michael Beard; Karl Granström; Ba-Tuong Vo; Ba-Ngu Vo; Klaus Dietmayer (ISCT, 2015)

A generalised labelled multi-Bernoulli filter for extended multi-target tracking. - Michael Beard; Stephan Reuter; Karl Granström; Ba-Tuong Vo; Ba-Ngu Vo; Alexander Scheel (FUSION, 2015)

Sensor control for multi-target tracking using Cauchy-Schwarz divergence. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (FUSION, 2015)

Tracking extended targets in high clutter using a GGIW-LMB filter. - Stephan Reuter; Michael Beard; Karl Granström; Klaus Dietmayer (SDF, 2015)

Bayesian Multi-Target Tracking With Merged Measurements Using Labelled Random Finite Sets. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2015)

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities. - Francesco Papi; Ba-Ngu Vo; Ba-Tuong Vo; Claudio Fantacci; Michael Beard (IEEE Trans. Signal Process., 2015)

Generalised labelled multi-Bernoulli forward-backward smoothing. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2016)

An overview of particle methods for random finite set models. - Branko Ristic 001; Michael Beard; Claudio Fantacci (Inf. Fusion, 2016)

Multiple Extended Target Tracking With Labeled Random Finite Sets. - Michael Beard; Stephan Reuter; Karl Granström; Ba-Tuong Vo; Ba-Ngu Vo; Alexander Scheel (IEEE Trans. Signal Process., 2016)

OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (ICCAIS, 2017)

Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo; Sanjeev Arulampalam (IEEE Trans. Signal Process., 2017)

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (FUSION, 2018)

Multi-Sensor Multi-Object Tracking With the Generalized Labeled Multi-Bernoulli Filter. - Ba-Ngu Vo; Ba-Tuong Vo; Michael Beard (IEEE Trans. Signal Process., 2019)

A Solution for Large-Scale Multi-Object Tracking. - Michael Beard; Ba-Tuong Vo; Ba-Ngu Vo (IEEE Trans. Signal Process., 2020)