J
Jason J. Ford
Researcher at Queensland University of Technology
Publications - 165
Citations - 1889
Jason J. Ford is an academic researcher from Queensland University of Technology. The author has contributed to research in topics: Hidden Markov model & Change detection. The author has an hindex of 23, co-authored 160 publications receiving 1688 citations. Previous affiliations of Jason J. Ford include Australian Defence Force Academy & University of Queensland.
Papers
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Journal ArticleDOI
Airborne vision-based collision-detection system
TL;DR: This paper describes the development and evaluation of a real‐time, vision‐based collision‐detection system suitable for fixed‐wing aerial robotics and overcame the challenge of achieving real-time computational speeds by exploiting the parallel processing architectures of graphics processing units found on commercial‐off‐the‐shelf graphics devices.
Proceedings ArticleDOI
Vision-based detection and tracking of aerial targets for UAV collision avoidance
TL;DR: In this article, a vision-based collision detection algorithm was proposed for fixed-wing aerial robotics. But the system was evaluated using highly realistic vision data of the moments leading up to a collision.
Journal ArticleDOI
Characterization of sky-region morphological-temporal airborne collision detection
TL;DR: In this paper, a sky-region, image-based, aircraft collision detection system that is based on morphologi- cal and temporal processing techniques is presented. But the proposed system is not suitable for the detection of potential collision threats against a ground clutter back- ground.
Efficient and robust model predictive control for first swing transient stability of power systems using flexible AC transmission systems devices
TL;DR: The proposed MPC approach achieves first swing large disturbance performance that is near optimal and superior to existing transient stability controllers and is demonstrated to improve critical clearance times and to improve transfer capacity in simulation studies on the 39 bus New England system.
Journal ArticleDOI
Adaptive load shedding and regional protection
TL;DR: In this paper, a new adaptive load shedding scheme that provides emergency protection against excess frequency decline, whilst minimizing the risk of line overloading is presented, which uses the local frequency rate information to adapt the load shedding behavior to suit the size and location of the experienced disturbance.