Please use this identifier to cite or link to this item: https://repository.unad.edu.co/handle/10596/32159
Title: Vehicle recognition by using acoustic signature and classic DSP techniques
metadata.dc.creator: Díaz Velásquez, María Fernanda
Guerrero Ramírez, Jorge Eduardo
Keywords: Acoustic signature;correlation;vehicle traffic
Publisher: Universidad Nacional Abierta y a Distancia, UNAD
metadata.dc.relation: https://hemeroteca.unad.edu.co/index.php/riaa/article/view/1621/1948
metadata.dc.format.*: text/html
metadata.dc.type: info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Description: 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.
metadata.dc.source: Revista de Investigación Agraria y Ambiental; Vol. 7 No. 1 (2016)
Revista de Investigación Agraria y Ambiental; Vol. 7 Núm. 1 (2016)
2145-6453
2145-6097
Other Identifiers: https://hemeroteca.unad.edu.co/index.php/riaa/article/view/1621
10.22490/21456453.1621
Appears in Collections:Revista RIAA

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