Automation Intent Inference Using the GFHMM for Flight Deck Mode Confusion Detection
2018; American Institute of Aeronautics and Astronautics; Volume: 15; Issue: 3 Linguagem: Inglês
10.2514/1.i010493
ISSN2327-3097
AutoresHao Lyu, Jayaprakash Suraj Nandiganahalli, Inseok Hwang,
Tópico(s)Autonomous Vehicle Technology and Safety
ResumoNo AccessTechnical NoteAutomation Intent Inference Using the GFHMM for Flight Deck Mode Confusion DetectionHao Lyu, Jayaprakash Suraj Nandiganahalli and Inseok HwangHao LyuPurdue University, West Lafayette, Indiana 47906*Graduate Student, School of Aeronautics and Astronautics; . Student Member AIAA.Search for more papers by this author, Jayaprakash Suraj NandiganahalliPurdue University, West Lafayette, Indiana 47906†Graduate Student, School of Aeronautics and Astronautics; . Student Member AIAA.Search for more papers by this author and Inseok HwangPurdue University, West Lafayette, Indiana 47906‡Associate Professor, School of Aeronautics and Astronautics; . Associate Fellow AIAA.Search for more papers by this authorPublished Online:20 Feb 2018https://doi.org/10.2514/1.I010493SectionsRead Now ToolsAdd to favoritesDownload citationTrack citations ShareShare onFacebookTwitterLinked InRedditEmail About References [1] “Advanced Technology Aircraft Safety Survey Report,” Flight Safety Digest, Vol. 18, Nos. 6–8, 1999, pp. 137–216. Google Scholar[2] Sarter N. B. and Woods D. D., “How in the World Did We Ever Get into That Mode? Mode Error and Awareness in Supervisory Control,” Human Factors: Journal of the Human Factors and Ergonomics Society, Vol. 37, No. 1, 1995, pp. 5–19. doi:https://doi.org/10.1518/001872095779049516 CrossrefGoogle Scholar[3] Sarter N. B. and Woods D. D., “Pilot Interaction with Cockpit Automation: Operational Experiences with the Flight Management System,” International Journal of Aviation Psychology, Vol. 2, No. 4, 1992, pp. 303–321. doi:https://doi.org/10.1207/s15327108ijap0204_5 CrossrefGoogle Scholar[4] Sarter N. 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Google Scholar[30] Silva S. S., “Divergence Between the Human State Assumption and Actual Aircraft System State,” Ph.D. Thesis, Massachusetts Inst. of Technology, Cambridge, MA, 2016. Google Scholar Previous article FiguresReferencesRelatedDetailsCited byThe need for and conceptual design of an AI model-based Integrated Flight Advisory System15 March 2022 | Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, Vol. 5 What's Popular Volume 15, Number 3March 2018 Metrics CrossmarkInformationCopyright © 2018 by Inseok Hwang. Published by the American Institute of Aeronautics and Astronautics, Inc., with permission. All requests for copying and permission to reprint should be submitted to CCC at www.copyright.com; employ the ISSN 2327-3097 (online) to initiate your request. See also AIAA Rights and Permissions www.aiaa.org/randp. TopicsAircraft CarriersAircraft Components and StructureAircraft ControlAircraft DesignAircraft Operations and TechnologyAircraft Stability and ControlAircraftsArtificial IntelligenceAutonomous SystemsAvionics SoftwareComputer NetworksComputing and InformaticsComputing, Information, and CommunicationData MiningData ScienceMachine LearningSoftware Systems KeywordsGeneralized Fuzzy Hidden Markov ModelFlight DeckPilotVertical NavigationMode Control PanelFlight DataFlight Management ComputerNational Transportation Safety BoardCockpitSan Francisco International AirportAcknowledgmentThe authors would like to acknowledge that this work is supported by NSF CMMI (National Science Foundation, Civil, Mechanical and Manufacturing Innovation) 1335084.PDF Received22 July 2016Accepted5 January 2018Published online20 February 2018
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