C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification

Billy Dawton, Shigemi Ishida, Yutaka Arakawa

研究成果: ジャーナルへの寄稿学術誌査読

1 被引用数 (Scopus)


As society grows ever more interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent. This is particularly true in the field of intelligent transportation systems (ITSs), where various sensing applications generate data at an exponential rate. In this paper, we present C-AVDI, a compressive measurement-based acoustic vehicle detection and identification architecture capable of extracting information from vehicle audio signals while sampling at sub-Nyquist rates. In addition, we further reduce the overall complexity by performing any necessary signal filtering during the acquisition process, removing the need for a separate filtering stage in the system's front-end. Our results obtained from data collected under a range of weather conditions present an accuracy of 80% with a back-end analog-to-digital converter (ADC) sample rate of 3kHz, with initial results from a microcontroller (MCU) implementation of our proposed system presenting an accuracy of 72%.

ジャーナルIEEE Access
出版ステータス出版済み - 2021

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンス(全般)
  • 材料科学(全般)
  • 工学(全般)


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