Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/129922
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Vision-based anticipatory controller for the autonomous navigation of an UAV using artificial neural networks |
Autor: | Maravall, Darío CSIC; Lope, Javier de CSIC ORCID; Fuentes, Juan Pablo | Palabras clave: | Topological maps Nearest neighbors methods Vision-based dual anticipatory reactive controllers Unmanned aerial vehicles Neural networks |
Fecha de publicación: | 2015 | Editor: | Elsevier | Citación: | Neurocomputing 151: 101- 107 (2015) | Resumen: | © 2014 Elsevier B.V. A vision-based anticipatory controller for the autonomous indoor navigation of an unmanned aerial vehicle (UAV) is the topic of this paper. A dual Feedforward/Feedback architecture has been used as the UAV's controller and the K-NN classifier using the gray level image histogram as discriminant variables has been applied for landmarks recognition. After a brief description of the UAV, we first identify the two main components of its autonomous navigation, namely, the landmark recognition and the dual controller based on cerebellar system of living beings, then we focus on the anticipatory module that has been implemented by an artificial neural network. Afterwards, the paper describes the experimental setup and discusses the experimental results centered mainly on the basic UAV's behavior of landmark approximation maneuver, which in topological navigation is known as the beaconing or homing problem. | Versión del editor: | http://dx.doi.org/10.1016/j.neucom.2014.09.077 | URI: | http://hdl.handle.net/10261/129922 | DOI: | 10.1016/j.neucom.2014.09.077 | ISSN: | 1872-8286 |
Aparece en las colecciones: | (CAR) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
accesoRestringido.pdf | 15,38 kB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
30
checked on 04-abr-2024
WEB OF SCIENCETM
Citations
26
checked on 29-feb-2024
Page view(s)
217
checked on 18-abr-2024
Download(s)
108
checked on 18-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
NOTA: Los ítems de Digital.CSIC están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.