Date of Award:

5-2023

Document Type:

Thesis

Degree Name:

Master of Computer Science (MCS)

Department:

Computer Science

Committee Chair(s)

Mario Harper

Committee

Mario Harper

Committee

Vicki H. Allan

Committee

John Edwards

Abstract

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.

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