C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification
C-AVDI: Compressive Measurement-Based Acoustic Vehicle Detection and Identification
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DOI：
10.1109/access.2021.3132061
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发表时间：
2021
期刊：
影响因子：
3.9
通讯作者：
Billy Dawton;S. Ishida;Y. Arakawa
中科院分区：
文献类型：
--
作者：
Billy Dawton;S. Ishida;Y. Arakawa
随着社会变得越来越相互关联，对复杂的信号处理和数据分析技术的需求变得越来越明显。在智能交通系统（ITS）领域尤其如此，其中各种传感应用以指数速率生成数据。在本文中，我们提出了C-AVDI，一个压缩测量为基础的声学车辆检测和识别架构，能够提取信息的车辆音频信号，同时在次奈奎斯特采样率。此外，我们还通过在采集过程中执行任何必要的信号滤波来进一步降低整体复杂性，从而消除了系统前端中对单独滤波级的需求。我们从一系列天气条件下收集的数据中获得的结果显示，后端模数转换器（ADC）采样率为3 kHz时，准确度为80%，而我们提出的系统的微控制器（MCU）实现的初始结果显示准确度为72%。
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 3 kHz, with initial results from a microcontroller (MCU) implementation of our proposed system presenting an accuracy of 72%.