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dc.rights.licenseopenen_US
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorIFQIR, Sara
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorCOMBASTEL, Christophe
IDREF: 154886122
hal.structure.identifierLaboratoire de l'intégration, du matériau au système [IMS]
dc.contributor.authorZOLGHADRI, Abdolali
IDREF: 104229152
dc.contributor.authorALCALAY, G.
dc.contributor.authorGOUPIL, P.
dc.contributor.authorMERLET, S.
dc.date.accessioned2022-07-13T13:53:22Z
dc.date.available2022-07-13T13:53:22Z
dc.date.issued2022-06
dc.identifier.issn0967-0661en_US
dc.identifier.urioai:crossref.org:10.1016/j.conengprac.2022.105132
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/140490
dc.description.abstractEnThe problem addressed in this paper is that of fault-tolerant multi-sensor data-fusion for flight navigation during approach and landing of a civil jetliner. The work falls within the scope of a large collaborative project on future single pilot operations issues. The proposed methodology is based on a multi-layer hierarchical architecture which can integrate several heterogeneous information sources. The study is restricted to three classical information sources, namely, Inertial Reference System (IRS), Global Positioning System (GPS) and Instrument Landing System (ILS). The system is designed to meet the specified navigation performance requirements in terms of validity, accuracy, continuity and on-board implementation issues. The methodology takes advantage of recently developed set-membership tools, and paves the way toward a new and simple tuning of global merging filter.
dc.language.isoENen_US
dc.sourcecrossref
dc.subject.enMulti-sensor data fusion
dc.subject.enFault tolerance
dc.subject.enAutonomous navigation
dc.subject.enCivil aircraft
dc.title.enFault tolerant multi-sensor data fusion for autonomous navigation in future civil aviation operations
dc.typeArticle de revueen_US
dc.identifier.doi10.1016/j.conengprac.2022.105132en_US
dc.subject.halSciences de l'ingénieur [physics]/Automatique / Robotiqueen_US
bordeaux.journalControl Engineering Practiceen_US
bordeaux.page105132en_US
bordeaux.volume123en_US
bordeaux.hal.laboratoriesLaboratoire d’Intégration du Matériau au Système (IMS) - UMR 5218en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionBordeaux INPen_US
bordeaux.institutionCNRSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcedissemin
hal.identifierhal-03708164
hal.version1
hal.exporttrue
workflow.import.sourcedissemin
dc.rights.ccPas de Licence CCen_US
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