Airborne vision‐based collision‐detection system J Lai, L Mejias, JJ Ford Journal of Field Robotics 28 (2), 137-157, 2011 | 157 | 2011 |
Vision-based detection and tracking of aerial targets for UAV collision avoidance L Mejias, S McNamara, J Lai, J Ford Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International …, 2010 | 106 | 2010 |
Adaptive load shedding and regional protection JJ Ford, H Bevrani, G Ledwich International Journal of Electrical Power & Energy Systems 31 (10), 611-618, 2009 | 89 | 2009 |
Characterization of Sky‐region Morphological‐temporal Airborne Collision Detection J Lai, JJ Ford, L Mejias, P O'Shea Journal of Field Robotics 30 (2), 171-193, 2013 | 72 | 2013 |
Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices JJ Ford, G Ledwich, ZY Dong IET generation, transmission & distribution 2 (5), 731-742, 2008 | 72 | 2008 |
On the use of df/dt in power system emergency control H Bevrani, G Ledwich, JJ Ford Power Systems Conference and Exposition, 2009. PSCE'09. IEEE/PES, 1-6, 2009 | 62 | 2009 |
Adaptive estimation of HMM transition probabilities JJ Ford, JB Moore Signal Processing, IEEE Transactions on 46 (5), 1374-1385, 1998 | 61 | 1998 |
Towards automated power line corridor monitoring using advanced aircraft control and multi-source feature fusion Z Li, TS Bruggemann, JJ Ford, L Mejias, Y Liu Journal of Field Robotics 29 (1), 4-24, 2012 | 56 | 2012 |
Finite-horizon inverse optimal control for discrete-time nonlinear systems TL Molloy, JJ Ford, T Perez Automatica 87, 442-446, 2018 | 53 | 2018 |
Inverse open-loop noncooperative differential games and inverse optimal control TL Molloy, J Inga, M Flad, JJ Ford, T Perez, S Hohmann IEEE Transactions on Automatic Control 65 (2), 897-904, 2019 | 48 | 2019 |
Relative entropy rate based multiple hidden Markov model approximation J Lai, JJ Ford Signal Processing, IEEE Transactions on 58 (1), 165-174, 2010 | 48 | 2010 |
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 | 42 | 2018 |
Method and apparatus for developing a flight path T Bruggemann, J Ford WO Patent WO2015081383 A1, 2015 | 37 | 2015 |
See and avoid using onboard computer vision J Lai, JJ Ford, L Mejias, P O'Shea, R Walker Sense and avoid in UAS: research and applications, 265-294, 2012 | 36 | 2012 |
Evaluation of maritime vision techniques for aerial search of humans in maritime environments P Westall, JJ Ford, P O'Shea, S Hrabar Computing: Techniques and Applications, 2008. DICTA'08. Digital Image, 176-183, 2008 | 36 | 2008 |
Regional frequency response analysis under normal and emergency conditions H Bevrani, G Ledwich, ZY Dong, JJ Ford Electric Power Systems Research 79 (5), 837-845, 2009 | 35 | 2009 |
Hidden Markov model filter banks for dim target detection from image sequences J Lai, JJ Ford, P O'Shea, R Walker Computing: Techniques and Applications, 2008. DICTA'08. Digital Image, 312-319, 2008 | 35 | 2008 |
On adaptive HMM state estimation JJ Ford, JB Moore Signal Processing, IEEE Transactions on 46 (2), 475-486, 1998 | 35 | 1998 |
Detection of aircraft below the horizon for vision‐based detect and avoid in unmanned aircraft systems TL Molloy, JJ Ford, L Mejias Journal of Field Robotics 34 (7), 1378-1391, 2017 | 34 | 2017 |
Control of aircraft for inspection of linear infrastructure TS Bruggemann, JJ Ford, RA Walker Control Systems Technology, IEEE Transactions on 19 (6), 1397-1409, 2011 | 33 | 2011 |