Autonomous Mobile Vision System for Terrorist Attack Prevention

dc.contributor.advisor	Yeo, Derrick
dc.contributor.author	Saltwick, Samuel
dc.contributor.department	First Year Innovation and Research Experience	en_US
dc.date.accessioned	2018-02-16T16:19:47Z
dc.date.available	2018-02-16T16:19:47Z
dc.date.issued	2018-02-15
dc.description.abstract	This paper consists of research into an autonomous mobile vision system with the ability to detect and prevent terrorist attacks. The system runs on a piece of computer vision software that can recognize common objects through a camera. A highly mobile spider-like platform was designed to move the camera through a crowded area, and multiple path planning algorithms are tested.	en_US
dc.identifier	https://doi.org/10.13016/M29C6S28S
dc.identifier.uri	http://hdl.handle.net/1903/20509
dc.language.iso	en_US	en_US
dc.relation.isAvailableAt	Digital Repository at the University of Maryland
dc.relation.isAvailableAt	University of Maryland (College Park, Md)
dc.subject	computer vision,path planning,counter terrorist,engineering	en_US
dc.title	Autonomous Mobile Vision System for Terrorist Attack Prevention	en_US
dc.type	Research Paper	en_US

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