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Artificial Intelligence Applied to Drone Control: A State of the Art

dc.contributor.authorCaballero Martín, Daniel
dc.contributor.authorLópez Guede, José Manuel ORCID
dc.contributor.authorEstévez Sanz, Julián ORCID
dc.contributor.authorGraña Romay, Manuel María
dc.date.accessioned2024-08-01T06:58:38Z
dc.date.available2024-08-01T06:58:38Z
dc.date.issued2024-07-03
dc.identifier.citationDrones 8(7) : (2024) // Article ID 296es_ES
dc.identifier.issn2504-446X
dc.identifier.urihttp://hdl.handle.net/10810/69106
dc.description.abstractThe integration of Artificial Intelligence (AI) tools and techniques has provided a significant advance in drone technology. Besides the military applications, drones are being increasingly used for logistics and cargo transportation, agriculture, construction, security and surveillance, exploration, and mobile wireless communication. The synergy between drones and AI has led to notable progress in the autonomy of drones, which have become capable of completing complex missions without direct human supervision. This study of the state of the art examines the impact of AI on improving drone autonomous behavior, covering from automation to complex real-time decision making. The paper provides detailed examples of the latest developments and applications. Ethical and regulatory challenges are also considered for the future evolution of this field of research, because drones with AI have the potential to greatly change our socioeconomic landscape.es_ES
dc.description.sponsorshipThe authors were supported by the Vitoria-Gasteiz Mobility Lab Foundation, a governmental organization of the Provincial Council of Araba and the local council of Vitoria-Gasteiz under the following project grant: “Generación de mapas mediante drones e Inteligencia Computacional” and “Generación de Inventario Automatizado de Señalética mediante Drones e Inteligencia Computacional”.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/es/
dc.subjectartificial intelligence algorithmses_ES
dc.subjectdroneses_ES
dc.subjectcargo transportes_ES
dc.subjectautonomous decisionses_ES
dc.titleArtificial Intelligence Applied to Drone Control: A State of the Artes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2024-07-26T12:29:31Z
dc.rights.holder© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2504-446X/8/7/296es_ES
dc.identifier.doi10.3390/drones8070296
dc.departamentoesIngeniería de sistemas y automática
dc.departamentoesCiencia de la computación e inteligencia artificial
dc.departamentoesIngeniería mecánica
dc.departamentoeuIngeniaritza mekanikoa
dc.departamentoeuSistemen ingeniaritza eta automatika
dc.departamentoeuKonputazio zientziak eta adimen artifiziala


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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).
Except where otherwise noted, this item's license is described as © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/ 4.0/).