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APPLYING MULTI AGENT SYSTEM TO TRACK UAV MOVEMENT

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thesis
posted on 11.12.2019 by Shulin Li
The thesis introduces an innovative UAV detection system. The commercial UAV market is booming. Meanwhile, the risks and threats from improper UAV usages are also booming. CUAS is to protect the public and facilities. The problem is a lack of an intelligent platform which can adapt many sensors for UAV detection. The hypothesis is that, the system can track the UAV’s movement by applying the multi-agent system (MAS) to UAV route track. The experiment proves that the multi-agent system benefits for the UAV track.

History

Degree Type

Master of Science

Department

Computer and Information Technology

Campus location

West Lafayette

Advisor/Supervisor/Committee Chair

Eric T. Matson

Additional Committee Member 2

John A. Springer

Additional Committee Member 3

Anthony H. Smith

Licence

Exports

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Licence

Exports