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Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition

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Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition

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dc.contributor.author Wubben, Jamie es_ES
dc.contributor.author FABRA COLLADO, FRANCISCO JOSE es_ES
dc.contributor.author Tavares De Araujo Cesariny Calafate, Carlos Miguel es_ES
dc.contributor.author Krzeszowski, Tomasz es_ES
dc.contributor.author Márquez Barja, Johann Marcelo es_ES
dc.contributor.author Cano, Juan-Carlos es_ES
dc.contributor.author Manzoni, Pietro es_ES
dc.date.accessioned 2020-05-26T03:03:44Z
dc.date.available 2020-05-26T03:03:44Z
dc.date.issued 2019-12-12 es_ES
dc.identifier.uri http://hdl.handle.net/10251/144317
dc.description.abstract [EN] Over the last few years, several researchers have been developing protocols and applications in order to autonomously land unmanned aerial vehicles (UAVs). However, most of the proposed protocols rely on expensive equipment or do not satisfy the high precision needs of some UAV applications such as package retrieval and delivery or the compact landing of UAV swarms. Therefore, in this work, a solution for high precision landing based on the use of ArUco markers is presented. In the proposed solution, a UAV equipped with a low-cost camera is able to detect ArUco markers sized 56×56 cm from an altitude of up to 30 m. Once the marker is detected, the UAV changes its flight behavior in order to land on the exact position where the marker is located. The proposal was evaluated and validated using both the ArduSim simulation platform and real UAV flights. The results show an average offset of only 11 cm from the target position, which vastly improves the landing accuracy compared to the traditional GPS-based landing, which typically deviates from the intended target by 1 to 3 m. es_ES
dc.description.sponsorship This work was funded by the Ministerio de Ciencia, Innovación y Universidades, Programa Estatal de Investigación, Desarrollo e Innovación Orientada a los Retos de la Sociedad, Proyectos I+D+I 2018 , Spain, under Grant RTI2018-096384-B-I00. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof Electronics es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject UAV es_ES
dc.subject Autonomous landing es_ES
dc.subject Vision-based es_ES
dc.subject ArduSim es_ES
dc.subject ArUco marker es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.title Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/electronics8121532 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-096384-B-I00/ES/SOLUCIONES PARA UNA GESTION EFICIENTE DEL TRAFICO VEHICULAR BASADAS EN SISTEMAS Y SERVICIOS EN RED/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.description.bibliographicCitation Wubben, J.; Fabra Collado, FJ.; Tavares De Araujo Cesariny Calafate, CM.; Krzeszowski, T.; Márquez Barja, JM.; Cano, J.; Manzoni, P. (2019). Accurate Landing of Unmanned Aerial Vehicles Using Ground Pattern Recognition. Electronics. 8(12):1-16. https://doi.org/10.3390/electronics8121532 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/electronics8121532 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 12 es_ES
dc.identifier.eissn 2079-9292 es_ES
dc.relation.pasarela S\398858 es_ES
dc.contributor.funder Agencia Estatal de Investigación es_ES
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dc.subject.ods 09.- Desarrollar infraestructuras resilientes, promover la industrialización inclusiva y sostenible, y fomentar la innovación es_ES
dc.subject.ods 11.- Conseguir que las ciudades y los asentamientos humanos sean inclusivos, seguros, resilientes y sostenibles es_ES


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