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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

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

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

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