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dc.date.accessioned | 2018-03-14T12:00:39Z | |
dc.date.available | 2018-03-14T12:00:39Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://sedici.unlp.edu.ar/handle/10915/65513 | |
dc.description.abstract | This article presents a system for determining the position and orientation of unmanned aerial vehicles. The system has two hardware layers coupled in both directions. One layer stabilizes the vehicle while the other determines lateral displacements. The two-directional coupling between layers allows the system to minimize estimation errors. The proposed implementation is evaluated on real hardware and evaluation results show that a real time implementation is feasible. | en |
dc.language | en | en |
dc.subject | unmanned aerial vehicles | en |
dc.subject | visual odometry | en |
dc.subject | inertial sensors | en |
dc.subject | extended kalman filter | en |
dc.title | Double Coupling Between Inertial Sensors and Visual Odometry in Multicopters | en |
dc.type | Objeto de conferencia | es |
sedici.creator.person | Paz, Claudio | es |
sedici.creator.person | Nesmachnow, Sergio | es |
sedici.subject.materias | Ciencias Informáticas | es |
sedici.description.fulltext | true | es |
mods.originInfo.place | Sociedad Argentina de Informática e Investigación Operativa (SADIO) | es |
sedici.subtype | Objeto de conferencia | es |
sedici.rights.license | Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) | |
sedici.rights.uri | http://creativecommons.org/licenses/by-sa/4.0/ | |
sedici.date.exposure | 2017-09 | |
sedici.relation.event | Simposio Latinoamericano de Infraestructura, Hardware y Software (SLIHS) - JAIIO 46 (Córdoba, 2017). | es |
sedici.description.peerReview | peer-review | es |