Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS)
Name
Chevallier-jchevall-mba-sloan-2021-thesis.pdf
Size
16.45 MB
Format
Adobe PDF
Checksum (MD5)
4e242bdaaea0c28a13bd405bb8756378
Author(s)
Chevallier, Juliette
Advisor(s)
de Weck, Olivier
Fazel-Zarandi, Mohammad
Date Issued
2021
2021
Publisher
Massachusetts Institute of Technology
Abstract
Autonomous air vehicles are rapidly gaining interest within the aviation industry with novel business cases such as urban air mobility, package delivery, and more. However, these increasingly autonomous systems come with increasingly numerous and complex inputs that software must handle. This limitless set of inputs must ensure that autonomous system decisions will translate to operations that are safe for the general public. This thesis contributes to knowledge by introducing an ontology and framework, with supporting analyses, to align individuals before beginning research and product development efforts in autonomous vehicles. This framework and the supporting ontology and analyses seek to provide a quantitative, repeatable method for describing the increase of operational uncertainty with the increase in automation for a UAS.
Description
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, June, 2021
Thesis: M.B.A., Massachusetts Institute of Technology, Department of SLOAN, June, 2021
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 258-261).
Subjects
Management.
Aeronautics and Astronautics.
MIT Department
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Sloan School of Management
Terms of Use
MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.
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