Vehicle recognition by using acoustic signature and classic DSP techniques

• Díaz Velásquez, María Fernanda ^[1] ; Guerrero Ramírez, Jorge Eduardo ^[1]
  1. [1] Universidad Santiago de Cali

     Universidad Santiago de Cali

     Colombia

     
• Localización: RIAA, ISSN-e 2145-6453, Vol. 7, Nº. 1, 2016
• Idioma: español
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• Resumen

  • 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.