Situational Awareness Detection and Warning for Airport Operations

Persistent Link:
http://hdl.handle.net/10150/146804
Title:
Situational Awareness Detection and Warning for Airport Operations
Author:
Islam, Shafiul; Robertson, Adam; Kartchner, Carlin M.; Sickinger, Daniel V.; Eyre, John L.
Issue Date:
May-2010
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
The operation of unmanned aerial vehicles (UAVs) presents several hazardous situations for both ground personnel and vehicles. Collisions between the UAV and other objects can have very negative consequences resulting in potentially high costs as well as injuries or even death of human personnel. When we were approached by Northrop Grumman, they were searching for a way to mitigate these limitations by providing increased situational awareness in the region surrounding their UAV while it was in transit on the ground. After weighing the variety of options available to us we settled on the use of computer vision as our solution because it provided the greatest potential for success with our limited budget. Computer vision works by taking images received from simple digital cameras and processing them to provide the localization information we need. Through our efforts we have been able to design and build a scalable system that can isolate objects and generate both visual and audio warnings when other objects approach too close. The completed system offers an overhead display of the airfield, live video of the scene, scalable network architecture, and clear audio warnings.
Type:
text; Electronic Thesis
Degree Name:
B.S.
Degree Level:
bachelors
Degree Program:
Honors College; Computer Science
Degree Grantor:
University of Arizona

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleSituational Awareness Detection and Warning for Airport Operationsen_US
dc.creatorIslam, Shafiulen_US
dc.creatorRobertson, Adamen_US
dc.creatorKartchner, Carlin M.en_US
dc.creatorSickinger, Daniel V.en_US
dc.creatorEyre, John L.en_US
dc.contributor.authorIslam, Shafiulen_US
dc.contributor.authorRobertson, Adamen_US
dc.contributor.authorKartchner, Carlin M.en_US
dc.contributor.authorSickinger, Daniel V.en_US
dc.contributor.authorEyre, John L.en_US
dc.date.issued2010-05-
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractThe operation of unmanned aerial vehicles (UAVs) presents several hazardous situations for both ground personnel and vehicles. Collisions between the UAV and other objects can have very negative consequences resulting in potentially high costs as well as injuries or even death of human personnel. When we were approached by Northrop Grumman, they were searching for a way to mitigate these limitations by providing increased situational awareness in the region surrounding their UAV while it was in transit on the ground. After weighing the variety of options available to us we settled on the use of computer vision as our solution because it provided the greatest potential for success with our limited budget. Computer vision works by taking images received from simple digital cameras and processing them to provide the localization information we need. Through our efforts we have been able to design and build a scalable system that can isolate objects and generate both visual and audio warnings when other objects approach too close. The completed system offers an overhead display of the airfield, live video of the scene, scalable network architecture, and clear audio warnings.en_US
dc.typetexten_US
dc.typeElectronic Thesisen_US
thesis.degree.nameB.S.en_US
thesis.degree.levelbachelorsen_US
thesis.degree.disciplineHonors Collegeen_US
thesis.degree.disciplineComputer Scienceen_US
thesis.degree.grantorUniversity of Arizonaen_US
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