The University of Queensland

Exactly optimal Bayesian quickest change detection for hidden Markov models

Ford, Jason J., James, Jasmin and Molloy, Timothy L. (2023). Exactly optimal Bayesian quickest change detection for hidden Markov models. Automatica, 157 111232, 1-5. doi: 10.1016/j.automatica.2023.111232

Exactly optimal quickest change detection of Markov chains

Ford, Jason J., Kennedy, Justin M., Tompkins, Caitlin, James, Jasmin and Mcfadyen, Aaron (2023). Exactly optimal quickest change detection of Markov chains. IEEE Control Systems Letters, 7, 2749-2754. doi: 10.1109/LCSYS.2023.3288933

On the informativeness of measurements in Shiryaev's Bayesian quickest change detection

Ford, Jason J., James, Jasmin and Molloy, Timothy L. (2020). On the informativeness of measurements in Shiryaev's Bayesian quickest change detection. Automatica, 111, 1-5. doi: 10.1016/j.automatica.2019.108645

Quickest detection of intermittent signals with application to vision-based aircraft detection

James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2019). Quickest detection of intermittent signals with application to vision-based aircraft detection. IEEE Transactions on Control Systems Technology, 27 (6) 8490112, 2703-2710. doi: 10.1109/tcst.2018.2872468

Learning to detect aircraft for long-range vision-based sense-and-avoid systems

James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2018). Learning to detect aircraft for long-range vision-based sense-and-avoid systems. IEEE Robotics and Automation Letters, 3 (4), 4383-4390. doi: 10.1109/lra.2018.2867237

Change detection for undermodelled processes using mismatched hidden Markov model test filters

James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2017). Change detection for undermodelled processes using mismatched hidden Markov model test filters. IEEE Control Systems Letters, 1 (2), 238-243. doi: 10.1109/lcsys.2017.2713825

A dataset of stationary, fixed-wing aircraft on a collision course for vision-based sense and avoid

Martin, J., Riseley, J. and Ford, J. J. (2022). A dataset of stationary, fixed-wing aircraft on a collision course for vision-based sense and avoid. International Conference on Unmanned Aircraft Systems (ICUAS), Dubrovnik, Croatia, 21-24 June 2022. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icuas54217.2022.9836180

Vision-based aircraft detection using deep learning with synthetic data

Hussaini, Somayeh, James, Jasmin and Ford, Jason J. (2020). Vision-based aircraft detection using deep learning with synthetic data. Australasian Conference on Robotics and Automation (ACRA) 2020, Brisbane, QLD Australia, 8-10 December 2020. Canberra, ACT Australia: Australasian Robotics and Automation Association.

A novel technique for rejecting non-aircraft artefacts in above horizon vision-based aircraft detection

James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2020). A novel technique for rejecting non-aircraft artefacts in above horizon vision-based aircraft detection. International Conference on Unmanned Aircraft Systems (ICUAS), Athens, Greece, 1-4 September 2020. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icuas48674.2020.9213938

Below horizon aircraft detection using deep learning for vision-based sense and avoid

James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2019). Below horizon aircraft detection using deep learning for vision-based sense and avoid. International Conference on Unmanned Aircraft Systems (ICUAS), Atlanta, GA USA, 11-14 June 2019. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/icuas.2019.8798096

Quickest detection of intermittent signals with estimated anomaly times

James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2018). Quickest detection of intermittent signals with estimated anomaly times. 11th Asian Control Conference (ASCC), Gold Coast, QLD Australia, 17-20 December 2017. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ASCC.2017.8287493

Comparison of elastic configurations for energy efficient legged locomotion

James, Jasmin, Ross, Patrick and Ball, David (2015). Comparison of elastic configurations for energy efficient legged locomotion. Australasian Conference on Robotics and Automation 2015, Canberra, ACT Australia, 2-4 December 2015. Canberra, ACT Australia: Australasian Robotics and Automation Association.