Vehicle recognition by using acoustic signature and classic DSP techniques

Díaz Velásquez, María Fernanda; Guerrero Ramírez, Jorge Eduardo

dc.creator	Díaz Velásquez, María Fernanda	es
dc.creator	Guerrero Ramírez, Jorge Eduardo	es
dc.date	2016-01-04
dc.identifier	https://hemeroteca.unad.edu.co/index.php/riaa/article/view/1621
dc.identifier	10.22490/21456453.1621
dc.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.	es
dc.format	text/html
dc.language	spa
dc.publisher	Sello Editorial UNAD	es
dc.relation	https://hemeroteca.unad.edu.co/index.php/riaa/article/view/1621/1948
dc.rights	Derechos de autor 2017 Revista de Investigación Agraria y Ambiental	es
dc.rights	http://creativecommons.org/licenses/by-nc-sa/4.0	es
dc.source	Revista de Investigación Agraria y Ambiental; Vol. 7 No. 1 (2016); 213-224	en
dc.source	Revista de Investigación Agraria y Ambiental; Vol. 7 Núm. 1 (2016); 213-224	es
dc.source	2145-6453
dc.source	2145-6097
dc.subject	Acoustic signature	es
dc.subject	correlation	es
dc.subject	vehicle traffic	es
dc.title	Vehicle recognition by using acoustic signature and classic DSP techniques	es
dc.type	info:eu-repo/semantics/article
dc.type	info:eu-repo/semantics/publishedVersion