Ba-Ngu Vo

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Antonio CantoniWinthrop Professor University of Western AustraliaVerified email at uwa.edu.au
Sumeetpal Sidhu SinghReader in Engineering Statistics, Department of Engineering, Cambridge UniversityVerified email at cam.ac.uk
Daniel ClarkInstitut Polytechnique de Paris, Telecom SudParis, Institut Mines TelecomVerified email at telecom-sudparis.eu
Wing-Kin MaDepartment of Electronic Engineering, The Chinese University of Hong KongVerified email at ieee.org
Arnaud DoucetProfessor of Statistics, University of Oxford & Research Scientist, Google DeepMindVerified email at stats.ox.ac.uk
Branko RisticRMIT UniversityVerified email at rmit.edu.au
Martin AdamsProfessor of Electrical Engineering, Universidad de ChileVerified email at ing.uchile.cl
Mahendra MallickIndependent Consultant, USAVerified email at ieee.org
Reza HoseinnezhadRMIT UniversityVerified email at rmit.edu.au
Vikram KrishnamurthyProfessor, Cornell UniversityVerified email at cornell.edu
Kusha PantaIP AustraliaVerified email at ipaustralia.gov.au
David SuterProf. Edith Cowan University & Adjunct Prof. Uni ofVerified email at ecu.edu.au
Dinh PhungProfessor, Monash UniversityVerified email at monash.edu
Hung Gia HoangResearch Fellow, Department of Electrical & Computer Engineering, Curtin UniversityVerified email at curtin.edu.au
Stephan ReuterSensor Fusion for Urban Automated Driving, Robert Bosch GmbHVerified email at stephanreuter.de
Du Yong KimVice-Chancellor's Research Fellow, RMIT UniversityVerified email at rmit.edu.au
Sanjeev ArulampalamDefence Science and TechnologyVerified email at ieee.org
Claudio FantacciResearch Engineer @ DeepMindVerified email at google.com
Klaus DietmayerProfessor für Mess- und RegelungstechnikVerified email at uni-ulm.de
Dominic SchuhmacherProfessor of Stochastics, University of GoettingenVerified email at mathematik.uni-goettingen.de

Ba-Ngu Vo

Curtin University

Verified email at curtin.edu.au - Homepage

statistical signal processing stochastic geometry random sets point process target tracking


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The Gaussian mixture probability hypothesis density filter BN Vo, WK Ma IEEE Transactions on signal processing 54 (11), 4091-4104, 2006	1971	2006
A consistent metric for performance evaluation of multi-object filters D Schuhmacher, BT Vo, BN Vo IEEE transactions on signal processing 56 (8), 3447-3457, 2008	1719	2008
Sequential Monte Carlo methods for multitarget filtering with random finite sets BN Vo, S Singh, A Doucet IEEE Transactions on Aerospace and electronic systems 41 (4), 1224-1245, 2005	1428	2005
Analytic implementations of the cardinalized probability hypothesis density filter BT Vo, BN Vo, A Cantoni IEEE transactions on signal processing 55 (7), 3553-3567, 2007	804	2007
The cardinality balanced multi-target multi-Bernoulli filter and its implementations BT Vo, BN Vo, A Cantoni IEEE Transactions on Signal Processing 57 (2), 409-423, 2009	737	2009
Labeled random finite sets and multi-object conjugate priors BT Vo, BN Vo IEEE Transactions on Signal Processing 61 (13), 3460-3475, 2013	637	2013
The labeled multi-Bernoulli filter S Reuter, BT Vo, BN Vo, K Dietmayer IEEE Transactions on Signal Processing 62 (12), 3246-3260, 2014	530	2014
Labeled random finite sets and the Bayes multi-target tracking filter BN Vo, BT Vo, D Phung IEEE Trans. Signal Processing, 62 (24), 6554-6567, 2014., 2014	522	2014
Sequential Monte Carlo implementation of the PHD filter for multi-target tracking BN Vo, S Singh, A Doucet Proc. Int’l Conf. on Information Fusion, 792-799, 2003	425	2003
Joint detection and estimation of multiple objects from image observations BN Vo, BT Vo, NT Pham, D Suter IEEE Transactions on Signal Processing 58 (10), 5129-5141, 2010	354	2010
A metric for performance evaluation of multi-target tracking algorithms B Ristic, BN Vo, D Clark, BT Vo IEEE Transactions on Signal Processing 59 (7), 3452-3457, 2011	311	2011
Adaptive target birth intensity for PHD and CPHD filters B Ristic, D Clark, BN Vo, BT Vo IEEE Transactions on Aerospace and Electronic Systems 48 (2), 1656-1668, 2012	284	2012
A random-finite-set approach to Bayesian SLAM J Mullane, BN Vo, MD Adams, BT Vo Robotics, IEEE Transactions on 27 (2), 268-282, 2011	271	2011
Data association and track management for the Gaussian mixture probability hypothesis density filter K Panta, DE Clark, BN Vo IEEE transactions on aerospace and electronic systems 45 (3), 1003-1016, 2009	263	2009
Tracking an unknown time-varying number of speakers using TDOA measurements: A random finite set approach WK Ma, BN Vo, SS Singh, A Baddeley IEEE Transactions on Signal Processing 54 (9), 3291-3304, 2006	254	2006
An efficient implementation of the generalized labeled multi-Bernoulli filter BN Vo, BT Vo, HG Hoang IEEE Transactions on Signal Processing 65 (8), 1975-1987, 2017	239	2017
A Tutorial on Bernoulli Filters: Theory, Implementation and Applications B Ristic, BT Vo, BN Vo, A Farina IEEE, 2013	238	2013
Stem cell migration and mechanotransduction on linear stiffness gradient hydrogels WJ Hadden, JL Young, AW Holle, ML McFetridge, DY Kim, P Wijesinghe, ... Proceedings of the National Academy of Sciences 114 (22), 5647-5652, 2017	235	2017
CPHD Filtering With Unknown Clutter Rate and Detection Profile R Mahler, BT Vo, BN Vo Signal Processing, IEEE Transactions on 59 (8), 3497-3513, 2011	209	2011
A Gaussian mixture PHD filter for jump Markov system models SA Pasha, BN Vo, HD Tuan, WK Ma IEEE Transactions on Aerospace and Electronic systems 45 (3), 919-936, 2009	207	2009

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