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dc.contributor.advisorAlam, Md. Ashraful
dc.contributor.authorIslam, A.R.M. Rizwan
dc.contributor.authorEra, Sadia Anjum
dc.contributor.authorJoarder, Jubayed Islam
dc.contributor.authorIslam, Md. Rafiu
dc.date.accessioned2021-05-30T05:38:44Z
dc.date.available2021-05-30T05:38:44Z
dc.date.copyright2020
dc.date.issued2020-04
dc.identifier.otherID: 16101075
dc.identifier.otherID: 14241006
dc.identifier.otherID: 19241034
dc.identifier.otherID: 19241033
dc.identifier.urihttp://dspace.bracu.ac.bd/xmlui/handle/10361/14452
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 50-52).
dc.description.abstractThe number of aerial vehicles have continuously increased as our technology advances and will continue to increase. However, to fly any aerial vehicle manually, the person should have a thorough understanding of GPS tracking and navigation, which narrows the field. Furthermore, each type of aerial flights comes with its own set of problems like civilian aircraft losing ATC control. Therefore, we propose a model where we introduce augmented reality to assist the pilots and drone operators during emergency situations by visualising the pathway they have to follow from source to destination.Firstly, all GPS coordinates of the determined path are taken, these are sampled where we take the coordinates after each appropriate distance from one another. The checkpoints were placed in the Unity software by a GPS AR plugin which allowed us to place them exactly in the gps coordinates taken. Then,by breshman’s line drawing algorithm and Bezier’s Curve on 3D plane, we connected the checkpoints by reference points, as well as generated path from diverted position to original path whenever vehicle would move away from the determined path. In our built app, when any compatible device able to use it is brought near the path, it will show the direction to destination while in the path and a warning that it has moved away from the path by how much in terms of latitude,longitude and altitude.Finally, we tested our application in real life by taking gps readings from a number of flights our drone took and applied it by placing smartphone supporting the application on drone where it flew through the same paths, Thus, in our simulation we found that our application has near desired outcome.en_US
dc.description.statementofresponsibilityA.R.M. Rizwan Islam
dc.description.statementofresponsibilitySadia Anjum Era
dc.description.statementofresponsibilityJubayed Islam Joarder
dc.description.statementofresponsibilityMd. Rafiu Islam
dc.format.extent52 pages
dc.language.isoen_USen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectGPSen_US
dc.subjectAugmented Realityen_US
dc.subjectFlight Assistanceen_US
dc.subjectAir Traffic Control ATCen_US
dc.subjectPathway Generation and Droneen_US
dc.subjectLogistic Regression Analysisen_US
dc.titleAugmented reality based flight assisting system under emergency circumstancesen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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