Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS)
Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, June, 2021
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Format: | Thesis |
Language: | English |
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Massachusetts Institute of Technology
2021
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Online Access: | https://hdl.handle.net/1721.1/138771 |
_version_ | 1811097074452660224 |
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author | Chevallier, Juliette |
author2 | de Weck, Olivier |
author_facet | de Weck, Olivier Chevallier, Juliette |
author_sort | Chevallier, Juliette |
collection | MIT |
description | Thesis: S.M., Massachusetts Institute of Technology, Department of Aeronautics and Astronautics, June, 2021 |
first_indexed | 2024-09-23T16:53:55Z |
format | Thesis |
id | mit-1721.1/138771 |
institution | Massachusetts Institute of Technology |
language | English |
last_indexed | 2024-09-23T16:53:55Z |
publishDate | 2021 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1387712021-12-23T15:33:17Z Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) Chevallier, Juliette de Weck, Olivier Fazel-Zarandi, Mohammad Massachusetts Institute of Technology. Department of Aeronautics and Astronautics. Management. Aeronautics and Astronautics. 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 2021-12-22T17:25:05Z 2021-12-22T17:25:05Z 2021 2021 2021 Thesis https://hdl.handle.net/1721.1/138771 en 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. 261 pages application/pdf Massachusetts Institute of Technology http://dspace.mit.edu/handle/1721.1/7582 |
spellingShingle | Management. Aeronautics and Astronautics. Chevallier, Juliette Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) |
title | Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) |
title_full | Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) |
title_fullStr | Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) |
title_full_unstemmed | Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) |
title_short | Enabling Autonomy in Commercial Aviation: An Ontology and Framework for Automating Unmanned Aircraft Systems (UAS) |
title_sort | enabling autonomy in commercial aviation an ontology and framework for automating unmanned aircraft systems uas |
topic | Management. Aeronautics and Astronautics. |
url | https://hdl.handle.net/1721.1/138771 |
work_keys_str_mv | AT chevallierjuliette enablingautonomyincommercialaviationanontologyandframeworkforautomatingunmannedaircraftsystemsuas |