dc.creator | Heredia Benot, Guillermo | es |
dc.creator | Caballero Benítez, Fernando | es |
dc.creator | Maza Alcañiz, Iván | es |
dc.creator | Merino, Luis | es |
dc.creator | Viguria, Antidio | es |
dc.creator | Ollero Baturone, Aníbal | es |
dc.date.accessioned | 2017-02-15T16:24:10Z | |
dc.date.available | 2017-02-15T16:24:10Z | |
dc.date.issued | 2009-09-24 | |
dc.identifier.citation | Heredia Benot, G., Caballero Benítez, F., Maza Alcañiz, J.I., Merino, L., Viguria, A. y Ollero Baturone, A. (2009). Multi-Unmanned Aerial Vehicle (UAV) Cooperative Fault Detection Employing Differential Global Positioning (DGPS), Inertial and Vision Sensors. Sensors, 9 (9), 7566-7579. | |
dc.identifier.issn | 1424-8220 | es |
dc.identifier.uri | http://hdl.handle.net/11441/54208 | |
dc.description.abstract | This paper presents a method to increase the reliability of Unmanned Aerial
Vehicle (UAV) sensor Fault Detection and Identification (FDI) in a multi-UAV context.
Differential Global Positioning System (DGPS) and inertial sensors are used for sensor
FDI in each UAV. The method uses additional position estimations that augment
individual UAV FDI system. These additional estimations are obtained using images from
the same planar scene taken from two different UAVs. Since accuracy and noise level of
the estimation depends on several factors, dynamic replanning of the multi-UAV team can
be used to obtain a better estimation in case of faults caused by slow growing errors of
absolute position estimation that cannot be detected by using local FDI in the UAVs.
Experimental results with data from two real UAVs are also presented. | es |
dc.description.sponsorship | Ministerio de Educación y Ciencia DPI2005-02293 | es |
dc.description.sponsorship | Comisión Europea IST -2006-33579 | es |
dc.description.sponsorship | Comisión Europea IST 2001-34304 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Sensors, 9 (9), 7566-7579. | es |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | UAVs | es |
dc.subject | Fault detection and identification | es |
dc.subject | Multi-UAV | es |
dc.subject | Vision sensors | es |
dc.subject | GPS | es |
dc.title | Multi-Unmanned Aerial Vehicle (UAV) Cooperative Fault Detection Employing Differential Global Positioning (DGPS), Inertial and Vision Sensors | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática | es |
dc.relation.projectID | DPI2005-02293 | es |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP5/34304 | es |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/FP6/033579 | |
dc.relation.publisherversion | http://dx.doi.org/10.3390/s90907566 | es |
dc.identifier.doi | 10.3390/s90907566 | es |
dc.contributor.group | Universidad de Sevilla. TEP151: Robótica, Visión y Control | es |
idus.format.extent | 14 p. | es |
dc.journaltitle | Sensors | es |
dc.publication.volumen | 9 | es |
dc.publication.issue | 9 | es |
dc.publication.initialPage | 7566 | es |
dc.publication.endPage | 7579 | es |