Stereoscopic Vision in Unmanned Aerial Vehicle Search and Rescue

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dc.contributor.advisorDeane, Anil
dc.contributor.authorCollins, Ryan
dc.contributor.authorGaus, Joshua
dc.contributor.authorJahn, Kathryn
dc.contributor.authorJurrens, Michael
dc.contributor.authorKatragadda, Saimouli
dc.contributor.authorKrejcik, Kaitlin
dc.contributor.authorLi, Xincheng
dc.contributor.authorLiu, Eileen
dc.contributor.authorMcNulty, Colin
dc.contributor.authorMondal, Benedict
dc.contributor.authorWeston-Dawkes, Matthew
dc.contributor.authorYen, Tiffany
dc.date.accessioned2018-06-22T13:39:49Z
dc.date.available2018-06-22T13:39:49Z
dc.date.issued2018
dc.description.abstractSearch and rescue operations are challenging due to the hazards imposed on the rescue teams. Team ARM IT has developed a virtual reality interface that controls a mounted camera payload on an unmanned aerial vehicle (UAV) through a head mounted display. This allows rescuers to manipulate a UAV to assist search and rescue missions safely and effectively through telepresence and enhanced situational awareness. The team tested these hypotheses by prototyping, testing, and refining individual components of the system through the use of flight simulation software and on-site volunteer testing. By providing a realistic sense of the UAV environment enhanced with relevant information, Team ARM IT’s project reduces the danger to the rescuers and provide cognitively natural situational awareness.en_US
dc.identifierhttps://doi.org/10.13016/M2CV4BV5Z
dc.identifier.urihttp://hdl.handle.net/1903/20666
dc.language.isoen_USen_US
dc.relation.isAvailableAtDigital Repository at the University of Maryland
dc.relation.isAvailableAtGemstone Program, University of Maryland (College Park, Md)
dc.subjectGemstone Team ARM ITen_US
dc.titleStereoscopic Vision in Unmanned Aerial Vehicle Search and Rescueen_US
dc.typeThesisen_US

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