Novel Disruptive Methods: Pattern Adaptations for Military Structures

Matthews, L; Perin, G; Perry, S; Bone, D; Culpepper, J

Novel Disruptive Methods: Pattern Adaptations for Military Structures

Matthews, L

Perin, G

Perry, S

Bone, D

Culpepper, J

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Publisher:: Department of Defence, Australian Government
Publication Type:: Conference Proceeding
Citation:: 2018, pp. ? - ? (4)
Issue Date:: 2018

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Field	Value	Language
dc.contributor.author	Matthews, L https://orcid.org/0000-0002-2804-940X	en_US
dc.contributor.author	Perin, G https://orcid.org/0000-0002-2943-4094	en_US
dc.contributor.author	Perry, S https://orcid.org/0000-0002-2794-3178	en_US
dc.contributor.author	Bone, D https://orcid.org/0000-0001-6655-9032	en_US
dc.contributor.author	Culpepper, J	en_US
dc.date	2018-09-05	en_US
dc.date.issued	2018	en_US
dc.identifier.citation	2018, pp. ? - ? (4)	en_US
dc.identifier.uri	http://hdl.handle.net/10453/129291
dc.description.abstract	Recent research reveals that signature disruption strategies of detection delay and disguise can provide effective counter-surveillance techniques for contemporary low-altitude Uninhabited Aerial Vehicle (UAV) or drone detection platforms. As the first in a series of tiered tests, a virtual 3D model of selected ‘scaled-up’ HSV-based (Human Visual System based) algorithmic patterns and 3D biological nanostructures were found to disrupt a camera sensor when mirrored in a physical surface. Further prototype and field tests will be conducted to corroborate these findings, with the ultimate aim of proposing an effective, controllable and disruptive mechanism to overhead UAV surveillance technology.	en_US
dc.publisher	Department of Defence, Australian Government	en_US
dc.relation.ispartof	International Conference on Science and Innovation for Land Power 2018	en_US
dc.title	Novel Disruptive Methods: Pattern Adaptations for Military Structures	en_US
dc.type	Conference Proceeding
utslib.location	Adelaide, Australia	en_US
utslib.location.activity	Adelaide, SA, Australia	en_US
utslib.for	1203 Design Practice and Management	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	false	en_US
pubs.finish-date	2018-09-06	en_US
pubs.place-of-publication	Adelaide, Australia	en_US
pubs.publication-status	Published online	en_US
pubs.start-date	2018-09-05	en_US

Abstract:

Recent research reveals that signature disruption strategies of detection delay and disguise can provide effective counter-surveillance techniques for contemporary low-altitude Uninhabited Aerial Vehicle (UAV) or drone detection platforms. As the first in a series of tiered tests, a virtual 3D model of selected ‘scaled-up’ HSV-based (Human Visual System based) algorithmic patterns and 3D biological nanostructures were found to disrupt a camera sensor when mirrored in a physical surface. Further prototype and field tests will be conducted to corroborate these findings, with the ultimate aim of proposing an effective, controllable and disruptive mechanism to overhead UAV surveillance technology.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/129291