2026-09-19T18:50:23Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1387712025-10-27T17:58:53Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
de Weck, Olivier
Fazel-Zarandi, Mohammad
Chevallier, Juliette
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics.
Massachusetts Institute of Technology. Department of Aeronautics and Astronautics
Sloan School of Management
2021-12-22T17:25:05Z
2021-12-22T17:25:05Z
2021
2021
2021
https://hdl.handle.net/1721.1/138771
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).
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.
by Juliette Chevallier.
S.M.
M.B.A.
M.B.A. Massachusetts Institute of Technology, Sloan School of Management
S.M. Massachusetts Institute of Technology, Department of Aeronautics and Astronautics
261 pages
en
Massachusetts Institute of Technology
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.
http://dspace.mit.edu/handle/1721.1/7582
Management.
Aeronautics and Astronautics.
Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS)
Thesis
application/pdf
Master
Sloan
Aero
Publication
unknown
unknown
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<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.</Abstract>
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