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https://hdl.handle.net/11000/33434
Low-Cost Road-Surface Classification System Based on Self-Organizing Maps
Título : Low-Cost Road-Surface Classification System Based on Self-Organizing Maps |
Autor : Sánchez Andrades, Ignacio CASTILLO AGUILAR, JUAN JESUS Velasco Garcia, Juan Maria Cabrera Carrillo, Juan Antonio Sánchez-Lozano, Miguel |
Editor : MDPI |
Departamento: Departamentos de la UMH::Ingeniería Mecánica y Energía |
Fecha de publicación: 2020-10-23 |
URI : https://hdl.handle.net/11000/33434 |
Resumen :
Expanding the performance and autonomous-decision capability of driver-assistance
systems is critical in today’s automotive engineering industry to help drivers and reduce accident
incidence. It is essential to provide vehicles with the necessary perception systems, but without
creating a prohibitively expensive product. In this area, the continuous and precise estimation
of a road surface on which a vehicle moves is vital for many systems. This paper proposes a
low-cost approach to solve this issue. The developed algorithm resorts to analysis of vibrations
generated by the tyre-rolling movement to classify road surfaces, which allows for optimizing
vehicular-safety-system performance. The signal is analyzed by means of machine-learning
techniques, and the classification and estimation of the surface are carried out with the use of a
self-organizing-map (SOM) algorithm. Real recordings of the vibration produced by tyre rolling on
six different types of surface were used to generate the model. The efficiency of the proposed model
(88.54%) and its speed of execution were compared with those of other classifiers in order to evaluate
its performance.
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Palabras clave/Materias: data acquisition vibrations surface estimation machine learning automobile systems |
Área de conocimiento : CDU: Ciencias aplicadas: Ingeniería. Tecnología |
Tipo documento : application/pdf |
Derechos de acceso: info:eu-repo/semantics/openAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.3390/s20216009 |
Aparece en las colecciones: Artículos Ingeniería Mecánica y Energía
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La licencia se describe como: Atribución-NonComercial-NoDerivada 4.0 Internacional.