Date of Award:
Master of Computer Science (MCS)
Vicki H. Allan
As drones become more popular and easier to use, air spaces are becoming more congested. Airports, hospitals, and similar structures require controlled, safe airspaces and drones are increasingly a threat. Locally controlled airspace requires efficient removal of airborne threats to continue sensitive operations. Many methods have been investigated for removing drones from contested airspace. Generally these methods involve ground-based signal disruption, physical contact, or drone interception of a single intruder. In this work we present a drone interception model with a low-cost, low-capability group of short-range drones intercepting an incoming drone.
Kunz, Johnathan D., "Adversarial Swarming: A Groundwork for Multi-Drone Independent Interception Exercises Through MA-POCA in Unity" (2023). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 8783.
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