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Branko Ristic

Branko Ristic

D-Index & Metrics

Computer Science

D-Index
54
Citations
16231
World Ranking
4470
National Ranking
132

Overview

Branko Ristic is affiliated with RMIT University in Australia and has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on Artificial Intelligence and Aerospace Engineering. Their work spans several subfields including Computer Networks and Communications, Management Science and Operations Research, and Ocean Engineering.

The primary areas of research covered by Ristic include Target Tracking and Data Fusion in Sensor Networks, Radar Systems and Signal Processing, Distributed Sensor Networks and Detection Algorithms, Multi-Criteria Decision Making, Bayesian Modeling and Causal Inference, Indoor and Outdoor Localization Technologies, and Maritime Navigation and Safety.

Among recent publications, the following papers are noted:

  • "A Bernoulli Track-Before-Detect Filter for Interacting Targets in Maritime Radar," 2021, IEEE Transactions on Aerospace and Electronic Systems
  • "Collaborative infotaxis: Searching for a signal-emitting source based on particle filter and Gaussian fitting," 2020, Robotics and Autonomous Systems
  • "Satellite Localization of IoT Devices Using Signal Strength and Doppler Measurements," 2022, IEEE Wireless Communications Letters
  • "A Closed-Form Estimator for Bearings-Only Fusion of Heterogeneous Passive Sensors," 2020, IEEE Transactions on Signal Processing
  • "2D and 3D Angles-Only Target Tracking Based on Maximum Correntropy Kalman Filters," 2022, Sensors

Ristic frequently collaborates with a group of co-authors in their research efforts. The most frequent collaborators include:

  • Du Yong Kim
  • Sanjeev Arulampalam
  • Luke Rosenberg
  • Robin Guan
  • Zhijin Chen

Publication venues where Ristic has contributed multiple works include:

  • IEEE Transactions on Aerospace and Electronic Systems
  • arXiv (Cornell University)
  • IEEE Transactions on Signal Processing
  • Entropy
  • Information Fusion

Best Publications

  • Beyond the Kalman Filter: Particle Filters for Tracking Applications

    Branko Ristic;Sanjeev Arulampalam;Neil Gordon

  • Tracking a ballistic target: comparison of several nonlinear filters

    A. Farina;B. Ristic;D. Benvenuti

  • A Metric for Performance Evaluation of Multi-Target Tracking Algorithms

    B Ristic;Ba-Ngu Vo;D Clark;Ba-Tuong Vo

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

    B. Ristic;B. La Scala;M. Morelande;N. Gordon

  • Adaptive Target Birth Intensity for PHD and CPHD Filters

    B. Ristic;D. Clark;Ba-Ngu Vo;Ba-Tuong Vo

  • A Tutorial on Bernoulli Filters: Theory, Implementation and Applications

    B. Ristic;Ba-Tuong Vo;Ba-Ngu Vo;A. Farina

  • Wireless Sensor Networks for Battlefield Surveillance

    Tatiana Bokareva;Wen Hu;Salil Kanhere;Branko Ristic

  • Bearings-only tracking of manoeuvring targets using particle filters

    M. Sanjeev Arulampalam;B. Ristic;N. Gordon;T. Mansell

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

    Branko Ristic;M. Sanjeev Arulampalam

  • Maximum likelihood registration for multiple dissimilar sensors

    N. Okello;B. Ristic

  • Improved SMC implementation of the PHD filter

    Branko Ristic;Daniel Clark;Ba-Ngu Vo

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

    Sanjeev Arulampalam;Branko Ristic

  • Brief paper: Sensor control for multi-object state-space estimation using random finite sets

    Branko Ristic;Ba-Ngu Vo

  • A particle filter for joint detection and tracking of color objects

    Jacek Czyz;Branko Ristic;Benoit Macq

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

    Branko Ristic;Ba-Ngu Vo;Daniel Clark

  • PCRLB for tracking in cluttered environments: measurement sequence conditioning approach

    M.L. Hernandez;A. Farina;B. Ristic

  • Comments on "The Cramer-Rao lower bounds for signals with constant amplitude and polynomial phase

    B. Ristic;B. Boashash

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

    B. Ristic;A. Farina;D. Benvenuti;M.S. Arulampalam

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

    A. Farina;B. Ristic;L. Timmoneri

  • Mobility Tracking in Cellular Networks Using Particle Filtering

    L. Mihaylova;D. Angelova;S. Honary;D.R. Bull

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

    B. Ristic;B. Boashash

Frequent Co-Authors

Alfonso Farina
Alfonso Farina Finmeccanica (Italy)
Boualem Boashash
Boualem Boashash University of Queensland
Ba-Ngu Vo
Ba-Ngu Vo Curtin University
Philippe Smets
Philippe Smets Université Libre de Bruxelles
Lyudmila Mihaylova
Lyudmila Mihaylova University of Sheffield
Luigi Chisci
Luigi Chisci University of Florence
Liuping Wang
Liuping Wang RMIT University
Benoît Macq
Benoît Macq Université Catholique de Louvain
Ba-Tuong Vo
Ba-Tuong Vo Curtin University
Iman Shames
Iman Shames Australian National University

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