Rate My Professor Jasmin Martin

Key publications by Jasmin Martin (often listed as J. James or J. Martin) include 'Learning to Detect Aircraft for Long-Range Vision-Based Sense-and-Avoid Systems' by J James, JJ Ford, and TL Molloy in IEEE Robotics and Automation Letters (2018); 'Below Horizon Aircraft Detection Using Deep Learning for Vision-Based Sense and Avoid' by J James, JJ Ford, and TL Molloy at the 2019 International Conference on Unmanned Aircraft Systems; 'Quickest Detection of Intermittent Signals with Application to Vision-Based Aircraft Detection' by J James, JJ Ford, and TL Molloy in IEEE Transactions on Control Systems Technology (2018); 'Exactly Optimal Bayesian Quickest Change Detection for Hidden Markov Models' by JJ Ford, J James, and TL Molloy in Automatica (2023); 'A Dataset of Stationary, Fixed-Wing Aircraft on a Collision Course for Vision-Based Sense and Avoid' by J Martin, J Riseley, and JJ Ford at the 2022 International Conference on Unmanned Aircraft Systems; 'On the Informativeness of Measurements in Shiryaev’s Bayesian Quickest Change Detection' by JJ Ford, J James, and TL Molloy in Automatica (2020); 'Change Detection for Undermodelled Processes Using Mismatched Hidden Markov Model Test Filters' by J James, JJ Ford, and TL Molloy in IEEE Control Systems Letters (2017); 'A Framework for Bayesian Quickest Change Detection in General Dependent Stochastic Processes' by J James, JJ Ford, and TL Molloy in IEEE Control Systems Letters (2024); 'Real-Time Dynamic Terrain Mapping for Autonomous Mining Operations' by V Bhandari, J James, T D’Adamo, T Phillips, and PR McAree in IEEE Transactions on Field Robotics (2025); and 'Comparison of Elastic Configurations for Energy Efficient Legged Locomotion' by J James, P Ross, and D Ball at the Australasian Conference on Robotics and Automation (2015). These works highlight her contributions to sense-and-avoid systems, signal processing for detection, and terrain mapping. She collaborates frequently with JJ Ford, TL Molloy, and others from UQ and QUT.