Branko Ristic

发表

Bayesian estimation with imprecise likelihoods in the framework of random set theory

Branko Ristic, 2011, 2011 Australian Control Conference.

Statistical analysis of motion patterns in AIS Data: Anomaly detection and motion prediction

Mark R. Morelande, Barbara F. La Scala, Branko Ristic, 2008, 2008 11th International Conference on Information Fusion.

Bayesian multitarget tracker for multistatic sonobuoy systems

Branko Ristic, Bill Moran, Daniel Angley, 2016, 2016 19th International Conference on Information Fusion (FUSION).

Bernoulli filter for detection and tracking of an extended object in clutter

Branko Ristic, Jamie Sherrah, B. Ristic, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Evaluation of a Particle Filter to Track People for Visual Surveillance

Branko Ristic, Nicholas J. Redding, Jamie Sherrah, 2009, 2009 Digital Image Computing: Techniques and Applications.

On Proximity-Based Range-Free Node Localisation in Wireless Sensor Networks

Mark R. Morelande, Branko Ristic, Alfonso Farina, 2006, 2006 9th International Conference on Information Fusion.

Joint detection and tracking using multi-static doppler-shift measurements

Branko Ristic, Alfonso Farina, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A tutorial on uncertainty modeling for machine reasoning

Branko Ristic, Alessio Benavoli, Christopher Gilliam, 2020, Inf. Fusion.

Combining KLD-sampling with Gmapping proposal for grid-based Monte Carlo localization of a moving robot

Branko Ristic, Liuping Wang, Robin P. Guan, 2017, 2017 20th International Conference on Information Fusion (Fusion).

CRLB and ML for parametric estimate: New results

Branko Ristic, Alfonso Farina, Luca Timmoneri, 2006, Signal Process..

Monte Carlo localisation of a mobile robot using a Doppler-Azimuth radar

Branko Ristic, Liuping Wang, Rob J. Evans, 2018, Autom..

Fusion of natural language propositions: Bayesian random set framework

Branko Ristic, Adrian N. Bishop, 2011, 14th International Conference on Information Fusion.

Radiological Source Localisation

Branko Ristic, Ajith Gunatilaka, Ralph Gailis, 2007 .

Data for: A tutorial on uncertainty modeling for machine reasoning

Branko Ristic, Alessio Benavoli, Christopher Gilliam, 2019 .

Achievable accuracy in parameter estimation of a Gaussian plume dispersion model

Branko Ristic, Ajith Gunatilaka, Ralph Gailis, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Modelling uncertain implication rules in evidence theory

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2008, 2008 11th International Conference on Information Fusion.

Target tracking using range-only measurements: application to ISAR mode of Ingara radar

Branko Ristic, Sanjeev Arulampalam, Jim McCarthy, 2001, SPIE Optics + Photonics.

Fusion of uncertain combat identity declarations and implication rules using the belief function theory

Branko Ristic, Philippe Smets, 2005, SPIE Optics + Photonics.

Analysis of FM signals affected by Gaussian AM using the reduced Wigner-Ville trispectrum

Boualem Boashash, Branko Ristic, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Parametric Model Variability of the Proximal Femoral Sculptural Shape

Nabil Anwer, Branko Ristic, Lihong Qiao, 2018, International Journal of Precision Engineering and Manufacturing.

Tracking a manoeuvring target using angle-only measurements: algorithms and performance

Branko Ristic, M. Sanjeev Arulampalam, B. Ristic, 2003, Signal Process..

Applications Involving Non-standard Measurements

Branko Ristic, B. Ristic, 2013 .

Multi-Object Particle Filters

Branko Ristic, 2013 .

Instantaneous frequency estimation and localization

Braham Barkat, Ljubisa Stankovic, Boualem Boashash, 2016 .

Target Classification with Imprecise Likelihoods: Mahler's Approach

Branko Ristic, B. Ristic, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Modelling Uncertain Implication Rules Theory

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2014 .

Sequential Monte Carlo algorithms for a class of outer measures

Branko Ristic, Jeremie Houssineau, B. Ristic, 2017, 1708.06489.

Biomechanical modeling of knee for specific patients with chronic anterior cruciate ligament injury

Branko Ristic, Nenad Filipovic, Velibor Isailovic, 2013, Comput. Sci. Inf. Syst..

Algorithms For Instantaneous Bandwidth Estimation

Branko Ristic, 1996, Fourth International Symposium on Signal Processing and Its Applications.

A Pedestrian Multiple Hypothesis Tracker Fusing Head and Body Detections

Branko Ristic, Jamie Sherrah, Dmitri Kamenetsky, 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Time-varying higher-order cumulant spectra: application to the analysis of composite FM signals in multiplicative and additive noise

Boualem Boashash, Branko Ristic, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

A particle filter for joint detection and tracking of color objects

Branko Ristic, Benoit M. Macq, Jacek Czyz, 2007, Image Vis. Comput..

Bayesian likelihood-free localisation of a biochemical source using multiple dispersion models

Branko Ristic, Ajith Gunatilaka, Alex Skvortsov, 2014, Signal Process..

Radiological Source Detection and Localisation Using Bayesian Techniques

Mark R. Morelande, Branko Ristic, B. Ristic, 2009, IEEE Transactions on Signal Processing.

Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter pdf

Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam, 2019, Inf. Fusion.

Search for targets in a risky environment using multi‐objective optimisation

Braham Himed, Branko Ristic, William Moran, 2019, IET Radar, Sonar & Navigation.

Bernoulli Particle/Box-Particle Filters for Detection and Tracking in the Presence of Triple Measurement Uncertainty

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2012, IEEE Transactions on Signal Processing.

Joint Tracking and Classification of Airbourne Objects using Particle Filters and the Continuous Transferable Belief Model

Gavin Powell, Branko Ristic, Philippe Smets, 2006, 2006 9th International Conference on Information Fusion.

Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach

Branko Ristic, Alessio Benavoli, 2011, 14th International Conference on Information Fusion.

Modelling Uncertain Implication Rulees Theory in Evidence

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2015 .

Application of cumulant TVHOS to the analysis of composite FM signals in multiplicative and additive noise

Boualem Boashash, Branko Ristic, 1993, Optics & Photonics.

A study of cognitive strategies for an autonomous search

Branko Ristic, Ajith Gunatilaka, Alex Skvortsov, 2016, Inf. Fusion.

Multi-agent collaborative infotaxis search based on cognition difference

Branko Ristic, Yuyao He, Le Li, 2019, Journal of Physics A: Mathematical and Theoretical.

Comparison of Recursive Algorithms for Emitter Localisation using TDOA Measurements from a Pair of UAVs

Branko Ristic, Darko Musicki, Fiona Fletcher, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Networks of chemical sensors: A simple mathematical model for optimisation study

Branko Ristic, Alex Skvortsov, Mark Morelande, 2009, 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Particle filter to track multiple people for visual surveillance

Branko Ristic, Nicholas J. Redding, Jamie Sherrah, 2011 .

Mobility Tracking in Cellular Networks Using Particle Filtering

Cedric Nishan Canagarajah, David R. Bull, Branko Ristic, 2007, IEEE Transactions on Wireless Communications.

Estimation accuracy of a landing point of a ballistic target

A. Farina, Branko Ristic, D. Benvenuti, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Autonomous Exploration and Mapping with RFS Occupancy-Grid SLAM

Branko Ristic, Jennifer L. Palmer, B. Ristic, 2018, Entropy.

Wireless Sensor Networks for Battlefield Surveillance

Sanjay Jha, Branko Ristic, Wen Hu, 2006 .

Bearings-Only Tracking of Manoeuvring Targets Using Particle Filters

Branko Ristic, Neil J. Gordon, M. Sanjeev Arulampalam, 2004, EURASIP J. Adv. Signal Process..

A new best fitting Gaussian performance measure for jump Markov systems

Mark R. Morelande, Branko Ristic, Marcel L. Hernandez, 2008, 2008 11th International Conference on Information Fusion.

Improved SMC implementation of the PHD filter

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2010, 2010 13th International Conference on Information Fusion.

Multi-Target Tracking

Branko Ristic, B. Ristic, 2013 .

Effects of ruptured anterior cruciate ligament and medial meniscectomy on stress distribution of human knee joint at full extension

Branko Ristic, Nenad Filipovic, Aleksandra Vulovic, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

The effect of data collection geometry on radiological source localisation

Branko Ristic, Shanika Karunasekera, Champake Mendis, 2009, 2009 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP).

Possibilistic vs Evidential Valuation Algebra Networks

Branko Ristic, Christopher Gilliam, Marion Byrne, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Bernoulli Forward-Backward Smoothing for Joint Target Detection and Tracking

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2011, IEEE Transactions on Signal Processing.

A random finite set approach to occupancy-grid SLAM

Branko Ristic, Bill Moran, Daniel Angley, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A color-based particle filter for joint detection and tracking of multiple objects

Branko Ristic, Benoit M. Macq, Jacek Czyz, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Kernel design for time-frequency signal analysis using the Radon transform

Boualem Boashash, Branko Ristic, B. Boashash, 1993, IEEE Trans. Signal Process..

Comparison of the particle filter with range-parameterized and modified polar EKFs for angle-only tracking

Branko Ristic, Sanjeev Arulampalam, B. Ristic, 2000, SPIE Defense + Commercial Sensing.

Comparison of filtering algorithms for ground target tracking using space-based GMTI radar

Barbara F. La Scala, Branko Ristic, Thia Kirubarajan, 2015, 2015 18th International Conference on Information Fusion (Fusion).

Autonomous search for a diffusive source in an unknown environment pdf

Branko Ristic, Andrew Walker, Alex Skvortsov, 2013, ArXiv.

Time-varying polyspectra and reduced Wigner-Ville trispectrum

Boualem Boashash, Branko Ristic, B. Boashash, 1992, Optics & Photonics.

A comparison of two Crame/spl acute/r-Rao bounds for nonlinear filtering with P/sub d/<1

Branko Ristic, Alfonso Farina, Luca Timmoneri, 2004, IEEE Transactions on Signal Processing.

Nonlinear filtering using measurements affected by stochastic, set-theoretic and association uncertainty

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2011, 14th International Conference on Information Fusion.

Predicting population extinction from early observations of the Lotka-Volterra system

Branko Ristic, Alex Skvortsov, Alex Kamenev, 2018, Appl. Math. Comput..

Combined Registration of Human Musculosceletal System

Branko Ristic, Sasa Cukovic, Suzana Petrovic, 2011 .

Rao-Blackwell dimension reduction applied to hazardous source parameter estimation

Yan Wang, Branko Ristic, Ajith Gunatilaka, 2017, Signal Process..

Experimental verification of evolutionary estimation algorithms for radioactive source localisation

Branko Ristic, Shanika Karunasekera, Champake Mendis, 2009, International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Moving Target Indication and Tracking from Moving Sensors

Branko Ristic, David M. Booth, Nicholas J. Redding, 2005, Digital Image Computing: Techniques and Applications (DICTA'05).

Integrated detection and tracking of multiple objects with a network of acoustic sensors

Branko Ristic, M. Sanjeev Arulampalam, B. Ristic, 2007, 2007 10th International Conference on Information Fusion.

Customised and Sequential Signal Dependent Time-frequency and Timescale Signal Representations Designed Using the Radon Transform

Boualem Boashash, Branko Ristic, 1994 .

A parametric Bayesian RMC gamma-ray image reconstruction

Branko Ristic, Michael D. Roberts, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Experimental verification of algorithms for detection and estimation of radioactive sources

Mark R. Morelande, Branko Ristic, Ajith Gunatilaka, 2010, 2010 13th International Conference on Information Fusion.

Sensor control for multi-object state-space estimation using random finite sets

Ba-Ngu Vo, Branko Ristic, B. Vo, 2010, Autom..

Robust target motion analysis using the possibility particle filter

Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam, 2019, IET Radar, Sonar & Navigation.

Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2010, IEEE Transactions on Signal Processing.

On the Choice of the Coordinate System and Tracking Filter for the Track-while-scan Mode of an Airborne Pulse Doppler Radar

Branko Ristic, Steven Zollo, 1999 .

A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

Ba-Ngu Vo, Branko Ristic, Ba-Tuong Vo, 2013, IEEE Transactions on Signal Processing.

Detection and tracking using wireless sensor networks

Sanjay Jha, Branko Ristic, Nadeem Ahmed, 2007, SenSys '07.

Noninvasive determination of knee cartilage deformation during jumping.

Branko Ristic, Nenad Filipovic, Aleksandar Peulic, 2009, Journal of sports science & medicine.

Performance evaluation of random set based pedestrian tracking algorithms

Ángel F. García-Fernández, Branko Ristic, Jamie Sherrah, 2013, 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Detection and parameter estimation of multiple radioactive sources

Mark R. Morelande, Branko Ristic, Ajith Gunatilaka, 2007, 2007 10th International Conference on Information Fusion.

Achievable accuracy in Gaussian plume parameter estimation using a network of binary sensors

Branko Ristic, Ajith Gunatilaka, Ralph Gailis, 2015, Inf. Fusion.

A comparison of MHT and 2D assignment algorithm for tracking with an airborne pulse Doppler radar

Branko Ristic, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

Spatio-temporal tracking from natural language statements using outer probability theory

Branko Ristic, Adrian N. Bishop, Daniel Angley, 2018, Inf. Sci..

The TBM global distance measure for the association of uncertain combat ID declarations

Branko Ristic, Philippe Smets, B. Ristic, 2006, Inf. Fusion.

Gait parameters identification using video tracking — Case study

Branko Ristic, Aleksandar Matic, Goran Devedzic, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Particle Filters for Random Set Models

Branko Ristic, B. Ristic, 2013 .

An Overview of Particle Methods for Random Finite Set Models

Branko Ristic, Claudio Fantacci, Michael Beard, 2016, Inf. Fusion.

Statistical spectrum occupancy prediction for dynamic spectrum access: a classification

Robin J. Evans, Ying-Chang Liang, Branko Ristic, 2018, EURASIP Journal on Wireless Communications and Networking.

Decentralised Scalable Search for a Hazardous Source in Turbulent Conditions

Branko Ristic, Christopher Gilliam, B. Ristic, 2019, Unmanned Robotic Systems and Applications.

Measurement variance ignorant target motion analysis

Branko Ristic, Xuezhi Wang, M. Sanjeev Arulampalam, 2018, Inf. Fusion.

An approach to threat assessment based on evidential networks

Luigi Chisci, Branko Ristic, Alessio Benavoli, 2007, 2007 10th International Conference on Information Fusion.

Covariance Cost Functions for Scheduling Multistatic Sonobuoy Fields

Branko Ristic, Bill Moran, Daniel Angley, 2018, 2018 21st International Conference on Information Fusion (FUSION).

Detecting Anomalies from a Multitarget Tracking Output

Branko Ristic, B. Ristic, 2014, IEEE Transactions on Aerospace and Electronic Systems.

Least Committed basic belief density induced by a multivariate Gaussian pdf

Branko Ristic, Emmanuel Duflos, François Caron, 2006, 2006 9th International Conference on Information Fusion.

CRLB withPd

A. Farina, Branko Ristic, S. Immediata, 2005 .

Predicting the progress and the peak of an epidemic

Mark R. Morelande, Branko Ristic, Alex Skvortsov, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Feature-based robot navigation using a Doppler-azimuth radar

Branko Ristic, Liuping Wang, William Moran, 2017, Int. J. Control.

A variable structure multiple model particle filter for GMTI tracking

Branko Ristic, Neil J. Gordon, Matthew R. Orton, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Spatially Referring Natural Language Propositions: Information Fusion and Estimation Theory

Branko Ristic, Adrian N. Bishop, 2011 .

Particle Filtering Combined with Interval Methods for Tracking Applications

Fahed Abdallah, Branko Ristic, Lyudmila Mihaylova, 2012 .

A controlled search for radioactive point sources

Mark R. Morelande, Branko Ristic, Ajith Gunatilaka, 2008, 2008 11th International Conference on Information Fusion.

Addendum for "The TBM global distance measure for the association of uncertain combat ID declarations"

Branko Ristic, Éloi Bossé, Mihai Cristian Florea, 2014, Information Fusion.

Particle filter for sequential detection and tracking of an extended object in clutter

Branko Ristic, Jamie Sherrah, B. Ristic, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Instantaneous frequency estimation of quadratic and cubic FM signals using the cross polynomial Wigner-Ville distribution

Boualem Boashash, Branko Ristic, B. Boashash, 1996, IEEE Trans. Signal Process..

Sensor Control for Random Set BasedParticle Filters

Branko Ristic, 2013 .

H.L. Van Trees (ed.) and K.L. Bell (ed.), Bayesian Bounds for parameter estimation and nonlinear filtering/tracking, Wiley & Sons Ltd, 2007 [Book review]

Branko Ristic, Alfonso Farina, 2009 .

Comparison of measures of nonlinearity for bearing-only and GMTI filtering

Branko Ristic, Mahendra Mallick, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Co-operative estimation for source localisation using binary sensors

Dimos V. Dimarogonas, Branko Ristic, Jonathan H. Manton, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

An Introduction to Box Particle Filtering [Lecture Notes]

Fahed Abdallah, Branko Ristic, Lyudmila Mihaylova, 2013, IEEE Signal Processing Magazine.

Tracking Airborne Targets Occasionally Hidden in the Blind Doppler

Branko Ristic, Neil J. Gordon, 2002, Digit. Signal Process..

RFS-SLAM robot: An experimental platform for RFS based occupancy-grid SLAM

Branko Ristic, Bill Moran, Akram Al-Hourani, 2017, 2017 20th International Conference on Information Fusion (Fusion).

On polar and versus Cartesian coordinates for target tracking

Branko Ristic, Steven Zollo, 1999, ISSPA '99. Proceedings of the Fifth International Symposium on Signal Processing and its Applications (IEEE Cat. No.99EX359).

A Comparison ofParticle Filters forRecursive Track-before-det ect

Branko Ristic, 2005 .

Analysis of radar allocation requirements for an IRST aided tracking of anti-ship missiles

Branko Ristic, Alfonso Farina, Hwa-Tung Ong, 2006, 2006 9th International Conference on Information Fusion.

The influence of communication bandwidth on target tracking with angle only measurements from two platforms

Branko Ristic, Christian Musso, M. Sanjeev Arulampalam, 2001, Signal Process..

Non-myopic sensor scheduling for multistatic sonobuoy fields

Branko Ristic, Bill Moran, Daniel Angley, 2017 .

Recursive Bayesian state estimation from Doppler-shift measurements

Branko Ristic, Alfonso Farina, A. Farina, 2011, 2011 Seventh International Conference on Intelligent Sensors, Sensor Networks and Information Processing.

Calibration of Multi-Target Tracking Algorithms Using Non-Cooperative Targets

Branko Ristic, Daniel E. Clark, Neil J. Gordon, 2013, IEEE Journal of Selected Topics in Signal Processing.

Particle filter for tracking linear Gaussian target with nonlinear observations

Branko Ristic, Arnaud Doucet, Augustine T. Ooi, 2003, SPIE Defense + Commercial Sensing.

Bayesian estimation of the rates in a stochastic biochemical reaction network

Branko Ristic, Alex Skvortsov, B. Ristic, 2014, 2014 International Symposium on Information Theory and its Applications.

Kalman filter and joint tracking and classification based on belief functions in the TBM framework

Branko Ristic, Philippe Smets, B. Ristic, 2007, Inf. Fusion.

Polynomial time-frequency distributions and timevarying higher-order spectra: A review of performance for non-stationary signal analysis

Boualem Boashash, Branko Ristic, 1996, Fourth International Symposium on Signal Processing and Its Applications.

Scale domain analysis of a bat sonar signal

Boualem Boashash, Branko Ristic, 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

Some aspects of signal dependent and higher-order time-frequency and time-scale analysis of non-stationary signals

Branko Ristic, B. Ristic, 1995 .

Automated SOSORT-recommended angles measurement in patients with adolescent idiopathic scoliosis

Wolfgang Birkfellner, Branko Ristic, Danijela Milosevic, 2015, 2015 IEEE 15th International Conference on Bioinformatics and Bioengineering (BIBE).

Time-varying Higher-order Spectra and Polynomial Wigner-Ville Distributions: Application to the Analysis of FM Signals Affected by Coloured Multiplicative Noise

Boualem Boashash, Branko Ristic, 1994 .

Target tracking via multi-static Doppler shifts

Branko Ristic, Alfonso Farina, 2013 .

Bernoulli filter for tracking maritime targets using point measurements with amplitude

Branko Ristic, Du Yong Kim, Luke Rosenberg, 2021 .

Particle filter for joint estimation of multi-object dynamic state and multi-sensor bias

Branko Ristic, Daniel E. Clark, B. Ristic, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Performance Bounds for Sensor

Branko Ristic, Hwa-Tung Ong, Nickens Okello, 2002 .

Predicting an epidemic based on syndromic surveillance

Branko Ristic, Alex Skvortsov, Chris Woodruff, 2010, 2010 13th International Conference on Information Fusion.

2007 I D C Information, Decision and Control

F. Allgower, David Kershaw, Branko Ristic, 2007 .

Bayesian analysis of finite Gaussian mixtures

Mark R. Morelande, Branko Ristic, B. Ristic, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Sensor registration using airlanes

Branko Ristic, Hwa-Tung Ong, M. G. Oxenham, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Learning the Parameters of Spatially-Referring Natural Language Likelihoods in Binary Models

Branko Ristic, Sanjeev Arulampalam, Jonathan Legg, 2018, 2018 21st International Conference on Information Fusion (FUSION).

KLD sampling with Gmapping proposal for Monte Carlo localization of mobile robots

Branko Ristic, Liuping Wang, Robin P. Guan, 2019, Inf. Fusion.

Bearings only tracking in clutter with observer control using the Bernoulli particle filter

Branko Ristic, Sanjeev Arulampalam, B. Ristic, 2011, 2011 Australian Control Conference.

Multitarget mixture reduction algorithm with incorporated target existence recursions

Branko Ristic, Sanjeev Arulampalam, 2000, SPIE Defense + Commercial Sensing.

Reduced Sigma Point Filtering for Partially Linear Models

Mark R. Morelande, Branko Ristic, B. Ristic, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Smoothing for maneuvering target tracking

Mark R. Morelande, Branko Ristic, 2006, 2006 9th International Conference on Information Fusion.

Calibration of tracking systems using detections from non-cooperative targets

Branko Ristic, Daniel E. Clark, Neil J. Gordon, 2012, 2012 Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF).

PHD Filtering with target amplitude feature

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2008, 2008 11th International Conference on Information Fusion.

Modelling and Performance Analysis of a Network of Chemical Sensors with Dynamic Collaboration

Branko Ristic, Alex Skvortsov, B. Ristic, 2011, Int. J. Distributed Sens. Networks.

An information gain driven search for a radioactive point source

Branko Ristic, Mark Rutten, Ajith Gunatilaka, 2007, 2007 10th International Conference on Information Fusion.

A box particle filter for stochastic and set-theoretic measurements with association uncertainty

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2011, 14th International Conference on Information Fusion.

Signal Dependent Time-Frequency and Time-Scale Signal Representations Designed Using the Radon Transform

Boualem Boashash, Branko Ristic, 1995 .

Target motion analysis with unknown measurement noise variance

Branko Ristic, Xuezhi Wang, M. Sanjeev Arulampalam, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Polynomial time-frequency distributions and time-varying higher order spectra: Application to the analysis of multicomponent FM signals and to the treatment of multiplicative noise

Boualem Boashash, Branko Ristic, B. Boashash, 1998, Signal Process..

Performance evaluation of multi-target tracking using the OSPA metric

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2010, 2010 13th International Conference on Information Fusion.

Posterior Cramer-Rao bounds for target tracking

Branko Ristic, Alfonso Farina, Marcel L. Hernandez, 2017 .

Higher-order scale spectra and higher-order time-scale distributions

Boualem Boashash, Branko Ristic, Geoff Roberts, 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

Real-time forecasting of an epidemic outbreak: Ebola 2014/2015 case study

Branko Ristic, Peter Dawson, B. Ristic, 2016, 2016 19th International Conference on Information Fusion (FUSION).

A tracker based on a CPHD filter approach for infrared applications

Branko Ristic, Daniel E. Clark, Dominique Maltese, 2011, Defense + Commercial Sensing.

Bernoulli Particle Filter with Observer Control for Bearings-Only Tracking in Clutter

Branko Ristic, M. Sanjeev Arulampalam, B. Ristic, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Bayesian Estimation With Imprecise Likelihoods: Random Set Approach

Branko Ristic, B. Ristic, 2011, IEEE Signal Processing Letters.

Decentralised multi-platform search for a hazardous source in a turbulent flow

Branko Ristic, William Moran, Christopher Gilliam, 2020, Inf. Fusion.

Information driven localisation of a radiological point source

Branko Ristic, Ajith Gunatilaka, 2008, Inf. Fusion.

Intermittent Information-Driven Search for Underwater Targets pdf

Branko Ristic, Alex Skvortsov, 2019, ArXiv.

Adaptive Target Birth Intensity for PHD and CPHD Filters

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2012, IEEE Transactions on Aerospace and Electronic Systems.

Performance bounds and comparison of nonlinear filters for tracking a ballistic object on re-entry

Branko Ristic, Alfonso Farina, M. S. Arulampalam, 2003 .

Introduction to the Box Particle Filtering

Branko Ristic, Lyudmila Mihaylova, Amadou Gning, 2013 .

Performance bounds for sensor registration

Branko Ristic, Hwa-Tung Ong, N. Okello, 2002, Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997).

Beyond the Kalman Filter: Particle Filters for Tracking Applications

Branko Ristic, Neil J. Gordon, Sanjeev Arulampalam, 2004 .

Least committed basic belief density induced by a multivariate Gaussian: Formulation with applications

Branko Ristic, Emmanuel Duflos, François Caron, 2008, Int. J. Approx. Reason..

Scheduling of Multistatic Sonobuoy Fields Using Multi-Objective Optimization

Branko Ristic, Bill Moran, Daniel Angley, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Cramer-Rao bound for nonlinear filtering with Pd<1 and its application to target tracking

Branko Ristic, Alfonso Farina, Luca Timmoneri, 2002, IEEE Trans. Signal Process..

Target motion analysis using range-only measurements: algorithms, performance and application to ISAR data

James McCarthy, Branko Ristic, M. Sanjeev Arulampalam, 2002, Signal Process..

Feature based moving robot localization using Doppler radar: Achievable accuracy

Branko Ristic, Liuping Wang, Bill Moran, 2017, 2017 20th International Conference on Information Fusion (Fusion).

Fusion of Spatially Referring Natural Language Statements with Random Set Theoretic Likelihoods

Branko Ristic, Adrian N. Bishop, A. Bishop, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Autonomous information driven search for a diffusive source in an unknown structured environment

Branko Ristic, Andrew Walker, Alex Skvortsov, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Parameter estimation of a continuous chemical plume source

Mark R. Morelande, Branko Ristic, Ajith Gunatilaka, 2008, 2008 11th International Conference on Information Fusion.

Efficient update of persistent particles in the SMC-PHD filter

Branko Ristic, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Note on the Reward Function for PHD Filters with Sensor Control

Ba-Ngu Vo, Branko Ristic, Daniel E. Clark, 2011, IEEE Transactions on Aerospace and Electronic Systems.

Internet Host Geolocation Using Maximum Likelihood Estimation Technique

Branko Ristic, Shanika Karunasekera, Ajith Gunatilaka, 2010, 2010 24th IEEE International Conference on Advanced Information Networking and Applications.

Sensor registration in ECEF coordinates using the MLR algorithm

Branko Ristic, N. Okello, N. Okello, 2003, Sixth International Conference of Information Fusion, 2003. Proceedings of the.

Sensor scheduling for target tracking in large multistatic sonobuoy fields

Branko Ristic, William Moran, Daniel Angley, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Bootstrapping confidence bands for the instantaneous frequency

Boualem Boashash, Abdelhak M. Zoubir, Branko Ristic, 1994, Optics & Photonics.

Source Localisation Using Binary Measurements

Branko Ristic, Jonathan H. Manton, Iman Shames, 2017 .

A Metric for Performance Evaluation of Multi-Target Tracking Algorithms

Branko Ristic, Ba-Tuong Vo, Ba-Ngu Vo, 2011, IEEE Transactions on Signal Processing.

Gaussian Mixture Multitarget Multisensor Bernoulli Tracker for Multistatic Sonobuoy Fields

Branko Ristic, Bill Moran, Daniel Angley, 2017 .

Integrated Sensor Systems and Data Fusion for Homeland Protection

Branko Ristic, Alfonso Farina, Alex Skvortsov, 2014, Academic Press Library in Signal Processing.

Recursive estimation of emitter location using TDOA measurements from two UAVs

Branko Ristic, Darko Musicki, Fiona Fletcher, 2007, 2007 10th International Conference on Information Fusion.

Monitoring and prediction of an epidemic outbreak using syndromic observations.

Branko Ristic, Alex Skvortsov, B. Ristic, 2011, Mathematical Biosciences.

Autonomous Search for a Diffusive Source in an UnknownStructured Environment

Branko Ristic, Andrew Walker, Alex Skvortsov, 2013, Entropy.

Autonomous Multi-Robot Search for a Hazardous Source in a Turbulent Environment

Branko Ristic, Bill Moran, Daniel Angley, 2017, Sensors.

Robust TMA using the possibility particle filter pdf

Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam, 2018, ArXiv.

Joint passive sensor scheduling for target tracking

Braham Himed, Branko Ristic, Xuezhi Wang, 2017, 2017 20th International Conference on Information Fusion (Fusion).

On target classification using kinematic data

Branko Ristic, Neil J. Gordon, Amanda Bessell, 2004, Inf. Fusion.

Information driven search for point sources of gamma radiation

Mark R. Morelande, Branko Ristic, Ajith Gunatilaka, 2010, Signal Process..

Observer control for bearings-only tracking using possibility functions

Branko Ristic, Du Yong Kim, Jeremie Houssineau, 2021, Autom..

Trajectory Optimisation for Cooperative Target Tracking with Passive Mobile Sensors

Braham Himed, Branko Ristic, Bill Moran, 2021, Signals.

Analysis of Propagation Delay Effects on Bearings-Only Fusion of Heterogeneous Sensors

Branko Ristic, Thia Kirubarajan, Sanjeev Arulampalam, 2021, IEEE Transactions on Signal Processing.

Performance assessment of a system for reasoning under uncertainty

Branko Ristic, Christopher Gilliam, Marion Byrne, 2021, Inf. Fusion.

A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar

Branko Ristic, Du Yong Kim, Luke Rosenberg, 2021, IEEE Transactions on Aerospace and Electronic Systems.

Bernoulli filter for joint detection and tracking of an extended object in clutter

Branko Ristic, Jamie Sherrah, B. Ristic, 2013 .

SensorControl forMulti-ObjectState-SpaceEstimation UsingRandomFinite Sets ⋆

Ba-Ngu Vo, Branko Ristic, 2010 .

Comments on 'Cramer-Rao lower bound for tracking multiple targets'

Mark R. Morelande, Branko Ristic, 2007 .

Cramér–Rao lower bound for tracking multiple targets

A. Farina, Branko Ristic, Marcel L. Hernandez, 2004 .

Monte Carlo realisation of a distributed multi-object fusion algorithm

Branko Ristic, Daniel E. Clark, Simon J. Julier, 2010 .

Localisation of a source of hazardous substance dispersion using binary measurements

Branko Ristic, Ajith Gunatilaka, Ralph Gailis, 2016, 1601.02304.

Tracking airborne targets occasionally hidden in the blind Doppler

Branko Ristic, Neil J. Gordon, 2001 .

Belief function theory on the continuous space with an application to model based classification

Branko Ristic, Philippe Smets, 2006 .

Use of the cross polynomial Wigner-Ville distribution for instantaneous frequency estimation of non-linear FM signals

Boualem Boashash, Branko Ristic, B. Boashash, 1994, Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis.

Cramer-Rao bound for source estimation using a network of binary sensors

Branko Ristic, Ajith Gunatilaka, Ralph Gailis, 2014 .

Recursive Classification of Multiple Objects Using Discordant and Non-Specific Data

Branko Ristic, Philippe Smets, B. Ristic, 2004 .

Signal-to-noise ratio threshold effect in track before detect

Mark R. Morelande, Branko Ristic, B. Ristic, 2009 .

Evaluation of Bayesian source estimation methods with Prairie Grass observations and Gaussian plume model: A comparison of likelihood functions and distance measures

Branko Ristic, Yan Wang, Lida Huang, 2017 .

Relationship between the polynomial and the higher order Wigner-Ville distribution

Boualem Boashash, Branko Ristic, B. Boashash, 1995, IEEE Signal Processing Letters.

Comparison of Two Approaches for Detection and Estimation of Radioactive Sources

Branko Ristic, Ajith Gunatilaka, Eugene Yee, 2011 .

Kalman Filter and Joint Tracking and Classification in the TBM framework

Branko Ristic, Philippe Smets, B. Ristic, 2004 .

Global cost of assignment in the TBM framework for association of uncertain ID reports

Branko Ristic, Philippe Smets, B. Ristic, 2007 .