Overview
Background
My research interests are in change detection for low signal to noise ratio applications in various domains.
I joined the School of Mechanical & Mining Engineering at UQ as a Lecturer in 2023.
I received my PhD from QUT in Robotics and Control in 2019.
Availability
- Dr Jasmin Martin is:
- Available for supervision
Works
Search Professor Jasmin Martin’s works on UQ eSpace
2024
Journal Article
A Framework for Bayesian Quickest Change Detection in General Dependent Stochastic Processes
James, Jasmin, Ford, Jason J. and Molloy, Timothy L. (2024). A Framework for Bayesian Quickest Change Detection in General Dependent Stochastic Processes. IEEE Control Systems Letters, 8, 1-1. doi: 10.1109/lcsys.2024.3403918
2023
Journal Article
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
2023
Journal Article
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
2022
Conference Publication
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
2020
Conference Publication
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.
2020
Conference Publication
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
2020
Journal Article
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
2019
Journal Article
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
2019
Conference Publication
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
2018
Journal Article
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
2018
Conference Publication
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
2017
Journal Article
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
2015
Conference Publication
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.
Supervision
Availability
- Dr Jasmin Martin is:
- Available for supervision
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Supervision history
Current supervision
-
Doctor Philosophy
Mapping Unstructured Environments for Real-Time Pose Estimation using Multimodal Perception to Explore and Provide Trusted Autonomy
Associate Advisor
Other advisors: Professor Ross McAree, Dr Tyson Phillips
Media
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