Natural language processing for unmanned aerial vehicle guidance interfaces
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004.
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| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/16656 |
| _version_ | 1811070064193961984 |
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| author | Craparo, Emily M. (Emily Marie), 1980- |
| author2 | Eric Feron and Robert C. Berwick. |
| author_facet | Eric Feron and Robert C. Berwick. Craparo, Emily M. (Emily Marie), 1980- |
| author_sort | Craparo, Emily M. (Emily Marie), 1980- |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. |
| first_indexed | 2024-09-23T08:22:44Z |
| format | Thesis |
| id | mit-1721.1/16656 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T08:22:44Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/166562022-01-13T07:54:11Z Natural language processing for unmanned aerial vehicle guidance interfaces Natural language processing for UAV guidance interfaces Craparo, Emily M. (Emily Marie), 1980- Eric Feron and Robert C. Berwick. Massachusetts Institute of Technology. Dept. of Aeronautics and Astronautics. Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Aeronautics and Astronautics. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 2004. Includes bibliographical references (p. 73-78). This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections. In this thesis, the opportunities and challenges involved in applying natural language processing techniques to the control of unmanned aerial vehicles (UAVs) are addressed. The problem of controlling an unmanned aircraft via natural language inputs is formulated as a feedback control problem, and notions of state, controllability, and observability are defined under this model. An implementation of such a system is also described. The phraseology of the existing air traffic control language is used as a base command set; to form this command set, a corpus of air traffic control commands was gathered from recorded exchanges between pilots and controllers at Boston's Logan Airport, as well as Laurence G. Hanscom Field in Bedford, MA, and these were used as the "target language" for this implementation. Knowledge of air traffic control and airport operations, combined with existing natural language processing techniques, is used to achieve a higher recognition success rate than a traditional natural language processor designed for a more general domain of discourse would. This :is the first known attempt at formalizing air traffic control phraseology for use in an unmanned system. by Emily M. Craparo. S.M. 2005-05-17T14:49:07Z 2005-05-17T14:49:07Z 2004 2004 Thesis http://hdl.handle.net/1721.1/16656 56526017 eng M.I.T. 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. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 78 p. 1843629 bytes 1843388 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Aeronautics and Astronautics. Craparo, Emily M. (Emily Marie), 1980- Natural language processing for unmanned aerial vehicle guidance interfaces |
| title | Natural language processing for unmanned aerial vehicle guidance interfaces |
| title_full | Natural language processing for unmanned aerial vehicle guidance interfaces |
| title_fullStr | Natural language processing for unmanned aerial vehicle guidance interfaces |
| title_full_unstemmed | Natural language processing for unmanned aerial vehicle guidance interfaces |
| title_short | Natural language processing for unmanned aerial vehicle guidance interfaces |
| title_sort | natural language processing for unmanned aerial vehicle guidance interfaces |
| topic | Aeronautics and Astronautics. |
| url | http://hdl.handle.net/1721.1/16656 |
| work_keys_str_mv | AT craparoemilymemilymarie1980 naturallanguageprocessingforunmannedaerialvehicleguidanceinterfaces AT craparoemilymemilymarie1980 naturallanguageprocessingforuavguidanceinterfaces |