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dc.contributor.advisorYeo, Derrick
dc.contributor.authorSaltwick, Samuel
dc.date.accessioned2018-02-16T16:19:47Z
dc.date.available2018-02-16T16:19:47Z
dc.date.issued2018-02-15
dc.identifierhttps://doi.org/10.13016/M29C6S28S
dc.identifier.urihttp://hdl.handle.net/1903/20509
dc.description.abstractThis 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.language.isoen_USen_US
dc.subjectcomputer vision,path planning,counter terrorist,engineeringen_US
dc.titleAutonomous Mobile Vision System for Terrorist Attack Preventionen_US
dc.typeResearch Paperen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtUniversity of Maryland (College Park, Md)
dc.contributor.departmentFirst Year Innovation and Research Experienceen_US


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