Jasmin  Martin
Jasmin Martin
Verified email at qut.edu.au
Title
Cited by
Cited by
Year
Learning to Detect Aircraft for Long-Range Vision-Based Sense-and-Avoid Systems
J James, JJ Ford, TL Molloy
IEEE Robotics and Automation Letters 3 (4), 4383-4390, 2018
232018
Quickest detection of intermittent signals with application to vision-based aircraft detection
J James, JJ Ford, TL Molloy
IEEE Transactions on Control Systems Technology 27 (6), 2703-2710, 2018
132018
Below horizon aircraft detection using deep learning for vision-based sense and avoid
J James, JJ Ford, TL Molloy
2019 International Conference on Unmanned Aircraft Systems (ICUAS), 965-970, 2019
112019
Comparison of elastic configurations for energy efficient legged locomotion
J James, P Ross, D Ball
Proceedings of the Australasian Conference on Robotics and Automation 2015, 1-7, 2015
62015
Change Detection for Undermodelled Processes Using Mismatched Hidden Markov Model Test Filters
J James, JJ Ford, TL Molloy
IEEE Control Systems Letters 1 (2), 238-243, 2017
32017
Quickest detection of intermittent signals with estimated anomaly times
J James, JJ Ford, TL Molloy
2017 11th Asian Control Conference (ASCC), 2066-2070, 2017
22017
Vision Based Aircraft Detection using Deep Learning with Synthetic Data
S Hussaini, J Martin, J Ford
Proceedings of the Australasian Conference on Robotics and Automation (ACRA …, 2020
2020
Optimal Bayesian Quickest Detection for Hidden Markov Models and Structured Generalisations
J James, JJ Ford, J Riseley, TL Molloy
arXiv preprint arXiv:2009.00150, 2020
2020
On the informativeness of measurements in Shiryaev’s Bayesian quickest change detection
JJ Ford, J James, TL Molloy
Automatica 111, 108645, 2020
2020
Quickest Detection and Identification of Intermittent Signals with Application to Vision Based Aircraft Detection
J James, JJ Ford, TL Molloy
arXiv preprint arXiv:1903.03270, 2019
2019
Quickly detecting aircraft in image sequences
J James
Queensland University of Technology, 2019
2019
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