Vehicle recognition by using acoustic signature and classic DSP techniques

María Fernanda Díaz Velásquez; Jorge Eduardo Guerrero Ramírez

doi:10.22490/21456453.1621

Vol. 7 No. 1 (2016)

Published 2016-01-04

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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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Abstract
References

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

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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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