Dr Jasmin Martin
Dr

Jasmin Martin

Email: 
Phone: 
+61 7 336 54673

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

Search Professor Jasmin Martin’s works on UQ eSpace

14 works between 2015 and 2024
All (14) Journal Article (8) Conference Publication (6)

1 - 14 of 14 works

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

A Framework for Bayesian Quickest Change Detection in General Dependent Stochastic Processes

2024

Journal Article

Probabilistic height grid terrain mapping for mining shovels using LiDAR

Bhandari, Vedant, James, Jasmin, Phillips, Tyson and McAree, P. Ross (2024). Probabilistic height grid terrain mapping for mining shovels using LiDAR. IFAC-PapersOnLine, 58 (22), 54-59. doi: 10.1016/j.ifacol.2024.09.290

Probabilistic height grid terrain mapping for mining shovels using LiDAR

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

Exactly optimal Bayesian quickest change detection for hidden Markov models

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

Exactly optimal quickest change detection of Markov chains

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

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

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.

Vision-based aircraft detection using deep learning with synthetic data

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

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

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

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

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

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

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

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

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

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

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

Quickest detection of intermittent signals with estimated anomaly times

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

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

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.

Comparison of elastic configurations for energy efficient legged locomotion

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

Enquiries

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