Publicación: UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques
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2022-06-08
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info:eu-repo/semantics/openAccess
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Springer
Resumen
BACKGROUND/INTRODUCTION: Unmanned Aerial Vehicles (UAVs) are excellent
tools with extensive demand. During the last phase of landing, they require additional
support to that of than GPS. This can be achieved through the UAV’s perception
system based on its on-board camera and intelligence, and with which decisions can
be made as to how to land on a platform (target). METHODS: A cognitive computation
approach is proposed to recognize this target that has been specifically designed to
translate human reasoning into a computational procedures by computing two
probabilities of detection which are combined considering the fuzzy set theory for
proper decision-making. The platform design is based on: 1) spectral information in the
visible range which are uncommon colors in the UAV’s operating environments
(indoors and outdoors), and 2) specific figures in the foreground, which allow partial
perception of each figure. We exploit color image properties from specific-colored
figures embedded on the platform, and which are identified by applying image
processing and pattern recognition techniques, including Euclidean Distance Smart
Geometric Analysis, to identify the platform in a very efficient and reliable manner.
RESULTS: The test strategy uses 800 images captured with a smartphone onboard a
quad-rotor UAV. The results verify the proposed method outperforms existing
strategies, especially those that do not use color information. CONCLUSIONS:
Platform recognition is also possible even with only a partial view of the target, due to
image capture under adverse conditions. This demonstrates the effectiveness and
robustness of the proposed cognitive computing-based perception system.
Descripción
The registered version of this article, first published in Cognitive Computation, is available online at the publisher's website: Springer, https://doi.org/10.1007/s12559-021-09962-2
La versión registrada de este artículo, publicado por primera vez en Cognitive Computation, está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s12559-021-09962-2
La versión registrada de este artículo, publicado por primera vez en Cognitive Computation, está disponible en línea en el sitio web del editor: Springer, https://doi.org/10.1007/s12559-021-09962-2
Categorías UNESCO
Palabras clave
image color segmentation, landing platform, UAV, pattern recognition, decision-making, recognition probability, perception system, artificial intelligence, cognitive computation
Citación
García-Pulido, J.A., Pajares, G. & Dormido, S. UAV Landing Platform Recognition Using Cognitive Computation Combining Geometric Analysis and Computer Vision Techniques. Cogn Comput 15, 392–412 (2023). https://doi.org/10.1007/s12559-021-09962-2
Centro
Facultades y escuelas::E.T.S. de Ingeniería Informática
Departamento
Informática y Automática