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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Augmented reality based flight assisting system under emergency circumstances

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    16101075, 14241006, 19241034, 19241033_CSE.pdf (7.172Mb)
    Date
    2020-04
    Publisher
    Brac University
    Author
    Islam, A.R.M. Rizwan
    Era, Sadia Anjum
    Joarder, Jubayed Islam
    Islam, Md. Rafiu
    Metadata
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    URI
    http://dspace.bracu.ac.bd/xmlui/handle/10361/14452
    Abstract
    The 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.
    Keywords
    GPS; Augmented Reality; Flight Assistance; Air Traffic Control ATC; Pathway Generation and Drone; Logistic Regression Analysis
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 50-52).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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