Jason J. Ford

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Misspecified and Asymptotically Minimax Robust Quickest Change Detection

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2017, IEEE Transactions on Signal Processing.

Regional frequency response analysis under normal and emergency conditions

Gerard Ledwich, Jason J. Ford, Zhao Yang Dong, 2009 .

Jason J. Ford, Tristan Perez, Troy S. Bruggemann, 2019, El Sawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation..

Towards strongly consistent online HMM parameter estimation using one-step Kerridge inaccuracy

Timothy Molloy, Jason J. Ford, 2015, Signal Process..

Change Detection for Undermodelled Processes Using Mismatched Hidden Markov Model Test Filters

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2017, IEEE Control Systems Letters.

Adaptive Estimation of Hmm Transition Probabilities

John B. Moore, Jason J. Ford, J. Ford, 1998, Fourth International Symposium on Signal Processing and Its Applications.

An infinite-horizon robust filter for uncertain hidden Markov models with conditional relative entropy constraints

Jason J. Ford, Valery A. Ugrinovskii, John Lai, 2011, 2011 Australian Control Conference.

A case study in uncertainty quantification of UAS behaviours against operational requirements

Tristan Perez, Jason J. Ford, Troy S. Bruggemann, 2019 .

Fat and Thin Adaptive HMM Filters for Vision Based Detection of Moving Targets

Jason J. Ford, Alexander Lloyd Wainwright, John S. Lai, 2011, ICRA 2011.

Control of Aircraft for Inspection of Linear Infrastructure

Jason J. Ford, Rodney A. Walker, Troy S. Bruggemann, 2010, IEEE Transactions on Control Systems Technology.

Minimax Robust Quickest Change Detection in Systems and Signals With Unknown Transients

Jason J. Ford, Timothy L. Molloy, J. Ford, 2019, IEEE Transactions on Automatic Control.

Quickest Detection and Identification of Intermittent Signals with Application to Vision Based Aircraft Detection pdf

Timothy Molloy, Jason J. Ford, Jasmin James, 2019, ArXiv.

Inverse Open-Loop Noncooperative Differential Games and Inverse Optimal Control

Tristan Perez, Jason J. Ford, Timothy L. Molloy, 2020, IEEE Transactions on Automatic Control.

See and Avoid Using Onboard Computer Vision

Jason J. Ford, Rodney A. Walker, Peter O'Shea, 2012 .

Adaptive detection threshold selection for vision-based sense and avoid

Jason J. Ford, Timothy L. Molloy, Luis Mejias, 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

Bayesian Inference and Prediction of Wave-induced Ship Motion based on Discrete-frequency Model Approximations

Tristan Perez, Jason J. Ford, Francis Valentinis, 2018 .

Sense and avoid technology developments at Queensland University of Technology

Jason J. Ford, Aaron McFadyen, Luis Mejias, 2016, IEEE Aerospace and Electronic Systems Magazine.

Consistent HMM parameter estimation using Kerridge inaccuracy rates

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2013, 2013 Australian Control Conference.

Coordinated change detection for UAV formations

Jason J. Ford, Troy S. Bruggemann, 2016, 2016 Australian Control Conference (AuCC).

Adaptive load shedding and regional protection

Gerard Ledwich, Jason J. Ford, Hassan Bevrani, 2009 .

Minimax Robust Quickest Change Detection With Exponential Delay Penalties

Jason J. Ford, Timothy L. Molloy, Justin M. Kennedy, 2017, IEEE Control Systems Letters.

On adaptive HMM state estimation

John B. Moore, Jason J. Ford, J. Ford, 1998, IEEE Trans. Signal Process..

Adaptive Estimation of Hmm Transition Probabilities

John B. Moore, Jason J. Ford, 1996, Fourth International Symposium on Signal Processing and Its Applications.

A behaviour tree-based robust decision framework for enhanced UAV autonomy

Jason J. Ford, Troy S. Bruggemann, David Crofts, 2017 .

Filtering for Precision Guidance: The Extended Kalman Filter

Jason J. Ford, Adrian S. Coulter, J. Ford, 2001 .

Control of infrastructure inspection aircraft vertical dynamics in the presence of thermal disturbances

Jason J. Ford, Troy S. Bruggemann, Onvaree Techakesari, 2013, 2013 Australian Control Conference.

Suppression of Wave Disturbances and Tracking Control for Marine Systems

Jason J. Ford, Alejandro Donaire, Francis Valentinis, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Faster parameter estimation using risk-sensitive filters

John B. Moore, Jason J. Ford, Sanjeewa Athuraliya, 1998, Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171).

Aircraft automation tasks requiring switching control

Jason J. Ford, Onvaree Techakesari, 2011 .

Non-Linear and Robust Filtering: From the Kalman Filter to the Particle Filter

Jason J. Ford, J. Ford, 2002 .

Optimal-stopping control for airborne collision avoidance and return-to-course flight

Jason J. Ford, Paul M. Zapotezny-Anderson, 2011, 2011 Australian Control Conference.

Towards the implementation of vision-based UAS sense-and-avoid

Jason J. Ford, Luis Mejias, John S. Lai, 2010 .

A study of morphological pre-processing approaches for Track-Before-Detect dim target detection

Michael Bosse, Jason J. Ford, Rodney A. Walker, 2008, ICRA 2008.

Relative entropy rate based model selection for linear hybrid system filters of uncertain nonlinear systems

Jason J. Ford, Onvaree Techakesari, J. Ford, 2013, Signal Process..

Reply by authors to J.C. Wilcox

Jason J. Ford, Michael E. Evans, 2001 .

Inverse noncooperative differential games

Tristan Perez, Timothy Molloy, Jason J. Ford, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2019, 2019 International Conference on Unmanned Aircraft Systems (ICUAS).

Online Inverse Optimal Control on Infinite Horizons

Tristan Perez, Timothy Molloy, Jason J. Ford, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Sufficiently informative measurements for stability of approximate conditional mean estimators

Jason J. Ford, Onvaree Techakesari, 2012, 2012 2nd Australian Control Conference.

Flight trial of an electro-optical sense-and-avoid system

Jason J. Ford, John Lai, Luis Mejias Alvarez, 2012 .

Inverse Noncooperative Dynamic Games

Tristan Perez, Jason J. Ford, Timothy L. Molloy, 2017, Inverse Optimal Control and Inverse Noncooperative Dynamic Game Theory.

Relative entropy rate based design for linear hybrid system models

Jason J. Ford, Onvaree Techakesari, J. Ford, 2011, 2011 Australian Control Conference.

Learning to Detect Aircraft for Long-Range Vision-Based Sense-and-Avoid Systems

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2018, IEEE Robotics and Automation Letters.

Separation management approaches during periods of communication failure

Jason J. Ford, Luis F. Gonzalez, Jiezhen S. Fan, 2010 .

Quickest detection of intermittent signals with estimated anomaly times

Timothy Molloy, Jason J. Ford, Jasmin James, 2017, 2017 11th Asian Control Conference (ASCC).

Field-of-view, detection range, and false alarm trade-offs in vision-based aircraft detection

Jason J. Ford, Rodney A. Walker, Peter O'Shea, 2012 .

Tensor Field guidance for time-based waypoint arrival of UAVs by 4D trajectory generation

Jason J. Ford, Rodney A. Walker, Shane C. Degen, 2009, 2009 IEEE Aerospace conference.

Robust Control of Nonlinear Jump Parameter Systems Governed by Uncertain Chains

Jason J. Ford, Valery A. Ugrinovskii, 2008, IEEE Transactions on Automatic Control.

On-line estimation of Allan variance parameters

Jason J. Ford, Michael E. Evans, M. E. Evans, 1999, 1999 Information, Decision and Control. Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium. Proceedings (Cat. No.99EX251).

Separation management approaches during periods of communications outages

Jason J. Ford, Luis F. Gonzalez, Sean Fan, 2010 .

Assessing the Impact of Sensor Accuracy and Sensor Choice on Air Traffic Conflict Risk Estimation using Risk-Ratio Concepts

Jason J. Ford, Jiezhen S. Fan, 2013 .

Adaptive estimation of HMM transition probabilities

John B. Moore, Jason J. Ford, 1996, Proceedings of 35th IEEE Conference on Decision and Control.

Detection of aircraft below the horizon for vision‐based detect and avoid in unmanned aircraft systems

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2017, J. Field Robotics.

A vision-based sense-and-avoid system tested on a ScanEagle UAV

Jason J. Ford, Luis Mejias, Dmitry Bratanov, 2017, 2017 International Conference on Unmanned Aircraft Systems (ICUAS).

On the Informativeness of Measurements in Shiryaev's Bayesian Quickest Change Detection

Timothy Molloy, Jason J. Ford, Jasmin James, 2020, Autom..

On Power System Frequency Control in Emergency Conditions

Gerard Ledwich, Jason J. Ford, Zhao Yang Dong, 2008 .

Hidden Markov Model Filter Banks for Dim Target Detection from Image Sequences

Jason J. Ford, Rodney A. Walker, John Lai, 2008, 2008 Digital Image Computing: Techniques and Applications.

Design of flight avoidance manoeuvre alphabets for mixed centralised-decentralised separation management

Jason J. Ford, Onvaree Techakesari, Paul M. Zapotezny-Anderson, 2012 .

HMM triangle relative entropy concepts in sequential change detection applied to vision-based dim target manoeuvre detection

Timothy Molloy, Jason J. Ford, 2012, 2012 15th International Conference on Information Fusion.

Improved maritime target tracker using colour fusion

Jason J. Ford, Peter O'Shea, Stefan Hrabar, 2009, 2009 International Conference on High Performance Computing & Simulation.

Practical stability of approximating discrete-time filters with respect to model mismatch

Jason J. Ford, Dragan Nesic, Onvaree Techakesari, 2012, Autom..

Estimation of Manoeuvring Targets using Hybrid Filters

Jason J. Ford, Peter G. Hunter, 2003 .

Reduced complexity on-line estimation of hidden Markov model parameters

John B. Moore, Jason J. Ford, 1998 .

Vision-based detection and tracking of aerial targets for UAV collision avoidance

Jason J. Ford, Luis Mejías Alvarez, Scott McNamara, 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.

Discrete-time inverse optimal control with partial-state information: A soft-optimality approach with constrained state estimation

Tristan Perez, Timothy Molloy, Jason J. Ford, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Evaluation of Maritime Vision Techniques for Aerial Search of Humans in Maritime Environments

Jason J. Ford, Peter O'Shea, Stefan Hrabar, 2008, 2008 Digital Image Computing: Techniques and Applications.

Practical stability of approximating discrete-time filters with respect to model mismatch using relative entropy concepts

Jason J. Ford, Dragan Nesic, Onvaree Techakesari, 2011, IEEE Conference on Decision and Control and European Control Conference.

HMM relative entropy rate concepts for vision-based aircraft manoeuvre detection

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2013, 2013 Australian Control Conference.

Fusion of morphological images for airborne target detection

Jason J. Ford, Alexander Wainwright, 2012, 2012 15th International Conference on Information Fusion.

Online Inverse Optimal Control for Control-Constrained Discrete-Time Systems on Finite and Infinite Horizons

Jason J. Ford, Timothy L. Molloy, Tristan Perez, 2020, Autom..

Asymptotic Minimax Robust Quickest Change Detection for Dependent Stochastic Processes With Parametric Uncertainty

Timothy Molloy, Jason J. Ford, 2016, IEEE Transactions on Information Theory.

Finite-horizon inverse optimal control for discrete-time nonlinear systems

Tristan Perez, Timothy Molloy, Jason J. Ford, 2018, Autom..

Bushfire emergency response uncertainty quantification

Jason J. Ford, Tristan Perez, Troy S. Bruggemann, 2019 .

Risk-sensitive filtering and parameter estimation

Jason J. Ford, 1999 .

Detection of parametric roll resonance using Bayesian discrete-frequency model selection

Tristan Perez, Jason J. Ford, Francis Valentinis, 2018 .

Looming Aircraft Threats: Shape-based Passive Ranging of Aircraft from Monocular Vision

Jason J. Ford, Timothy L. Molloy, Luis Mejias, 2014, ICRA 2014.

On feasibility of regional frequency-based emergency control plans

Gerard Ledwich, Jason J. Ford, Zhao Yang Dong, 2009 .

Airborne vision‐based collision‐detection system

Jason J. Ford, Luis Mejías Alvarez, John Lai, 2011, J. Field Robotics.

Partially observed non-linear risk-sensitive optimal stopping control for non-linear discrete-time systems

Jason J. Ford, J. Ford, 2006, Syst. Control. Lett..

Characterization of Sky‐region Morphological‐temporal Airborne Collision Detection

Jason J. Ford, Luis Mejías Alvarez, John Lai, 2013, J. Field Robotics.

Short-data recursive HMM parameter estimation for rapid vision-based aircraft heading estimation

Timothy Molloy, Jason J. Ford, 2014, 2014 4th Australian Control Conference (AUCC).

Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations pdf

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2020, ArXiv.

Quickest Detection of Intermittent Signals With Application to Vision-Based Aircraft Detection

Timothy Molloy, Jason J. Ford, Timothy L. Molloy, 2018, IEEE Transactions on Control Systems Technology.

Toward automated power line corridor monitoring using advanced aircraft control and multisource feature fusion

Jason J. Ford, Luis Mejías Alvarez, Zhengrong Li, 2012, J. Field Robotics.

Asymptotic minimax robust and misspecified Lorden quickest change detection for dependent stochastic processes

Timothy Molloy, Jason J. Ford, 2014, 17th International Conference on Information Fusion (FUSION).

Vision-Based Estimation of Airborne Target Pseudobearing Rate using Hidden Markov Model Filters

Jason J. Ford, Luis Mejías Alvarez, John Lai, 2013, IEEE Transactions on Aerospace and Electronic Systems.

Compressed sensing using hidden Markov models with application to vision based aircraft tracking

Timothy Molloy, Jason J. Ford, Joanne L. Hall, 2014, 17th International Conference on Information Fusion (FUSION).

A Novel Technique for Rejecting Non-Aircraft Artefacts in Above Horizon Vision-Based Aircraft Detection

Jason J. Ford, Timothy L. Molloy, Jasmin James, 2020, 2020 International Conference on Unmanned Aircraft Systems (ICUAS).

Detection versus False Alarm Characterisation of a Vision-Based Airborne Dim-Target Collision Detection System

Jason J. Ford, Rodney A. Walker, Luis Mejías Alvarez, 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

Guidance of aircraft in periodic inspection tasks

Jason J. Ford, Troy S. Bruggemann, 2011, 2011 Australian Control Conference.

Practical stability with respect to model mismatch of approximate discrete-time output feedback control

Jason J. Ford, Onvaree Techakesari, J. Ford, 2011, 2011 Australian Control Conference.

Using X-ray computed tomography to measure local gas holdup in a stirred tank reactor

Jason J. Ford, J. Ford, 2006 .

Relative Entropy Rate Based Multiple Hidden Markov Model Approximation

Jason J. Ford, John Lai, J. Ford, 2010, IEEE Transactions on Signal Processing.

On-line estimation of Allan variance parameters

Jason J. Ford, Michael E. Evans, 1999 .

Vision Based Control for Fixed Wing UAVs Inspecting Locally Linear Infrastructure Using Skid-to-Turn Maneuvers

Jason J. Ford, Luis Mejías Alvarez, Steven J. Mills, 2011, J. Intell. Robotic Syst..

Automated aerial inspection guidance with improved turn planning

Jason J. Ford, Troy S. Bruggemann, 2013, 2013 Australian Control Conference.

Precision Guidance with Impact Angle Requirements

Jason J. Ford, 2001 .

Compensation of unmodeled aircraft dynamics in airborne inspection of linear infrastructure assets

Jason J. Ford, Troy S. Bruggemann, 2011, 2011 Australian Control Conference.

An optimal linear prediction filter for discrete-time linear additive hybrid systems

Jason J. Ford, 2016, 2016 Australian Control Conference (AuCC).

A Dataset of Stationary, Fixed-wing Aircraft on a Collision Course for Vision-Based Sense and Avoid pdf

Jason J. Ford, Jenna Riseley, Jasmin Martin, 2021, ArXiv.

Bayesian Experimental Design With Application to Dynamical Vehicle Models

Jason J. Ford, Timothy L. Molloy, James McGree, 2021, IEEE Transactions on Robotics.

Control of underactuated marine crafts with matched disturbances

Jason J. Ford, Alejandro Donaire, Justin M. Kennedy, 2021, Int. J. Control.

Towards Automated Power Line Corridor Monitoring Using Advanced Aircraft Control and Multi-source Feature Fusion

Jason J. Ford, Zhengrong Li, Troy S. Bruggemann, 2012 .

X-ray computed tomography of a gas-sparged stirred-tank reactor

Jason J. Ford, Theodore J. Heindel, Terrence C. Jensen, 2008 .

On‐line almost‐sure parameter estimation for partially observed discrete‐time linear systems with known noise characteristics

Jason J. Ford, Robert J. Elliott, John B. Moore, 2002 .