RIAA
Vol. 7 No. 1 (2016)
Published 2016-01-04
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Copyright (c) 2017 Revista de Investigación Agraria y Ambiental

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Documentos de Trabajo

Vehicle recognition by using acoustic signature and classic DSP techniques

DOI: https://doi.org/10.22490/21456453.1621
María Fernanda Díaz Velásquez Grupo de Investigación GIEIAM. Universidad Santiago de Cali. Cali, Colombia
Jorge Eduardo Guerrero Ramírez Grupo de Investigación GIEIAM. Universidad Santiago de Cali.
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This paper shows the application of the classic technique of digital signal processing (DSP), the cross-correlation, used for the detection of acoustic signatures of road traffic in Cali city, Colombia. Future goal is to build a detection software that through real time measures allows us estimate the levels of acoustic pollution in the city by using simulation models of road traffic, in the framework of environmentally-friendly smart cities. Final results of the experimental tests showed an accuracy of 71.43% for specific vehicle detection.

keywords: Acoustic signature, correlation, vehicle traffic
license

Copyright (c) 2017 Revista de Investigación Agraria y Ambiental

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

When RIAA receives the postulation of an original by its author, either through email or post mail, considers that it can be published in physical and/or electronic format and facilitates its inclusion in databases, newspaper archives and other systems and indexing process. RIAA authorizes the reproduction and citation of the Journal’s material, provided that explicitly indicates journal name, the authors, the article title, volume, number and pages. The ideas and concepts expressed in the articles are responsibility of the authors and in no case reflect the institutional policies of the UNAD.

How to Cite
Díaz Velásquez, M. F., & Guerrero Ramírez, J. E. (2016). Vehicle recognition by using acoustic signature and classic DSP techniques. Revista De Investigación Agraria Y Ambiental, 7(1), 213-224. https://doi.org/10.22490/21456453.1621
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