Coordinated change detection for UAV formations

Bruggemann, Troy S. & Ford, Jason J. (2016) Coordinated change detection for UAV formations. In Australian Control Conference, 3-4 November 2016, Newcastle, NSW. (In Press)

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Abstract

New tools are required to support and increase the reliability and safety of unmanned aerial vehicle (UAV) formation operations. This paper poses a new formation co- ordination change detection problem as a quickest detection of change in signal coordination on the basis of a worst case average detection delay cost inspired by Lorden’s criteria. This paper also poses a pragmatic nested change detection algorithm for detecting formation coordination. The proposed algorithm is evaluated on both simulated and real measurement data.

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ID Code: 98549
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: UAV formation, quickest change detection, coordinated change detection, multi-UAV, situational awareness
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Control Systems Robotics and Automation (090602)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2016 IEEE & Engineers Australia
Deposited On: 01 Sep 2016 22:22
Last Modified: 04 Sep 2016 23:31

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