Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System. 電子情報通信学会, vol. 119, no. 406, 2020, ISSN: 0913-5685.
Abstract
As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent, particularly in the field of Intelligent Transportation Systems (ITS) where various sensing applications generate data at an exponential rate. In this paper, we put a forward a compressive sensing-based system to extract information from passing vehicle sounds sampled at sub-Nyquist rates for Acoustic Vehicle Detection and Identification (AVDI) applications. The obtained compressive measurements are used to detect and identify passing vehicles. Initial evaluation is performed using data obtained from roads on a university campus and with a back-end ADC sample rate of 3kHz.
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@conference{billy-semi-2020,
title = {Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System},
author = {Billy Dawton and Shigemi Ishida and Yuki Hori and Masato Uchino and Yutaka Arakawa and Akira Fukuda},
url = {https://www.ieice.org/ken/paper/2020013141Ud/},
issn = { 0913-5685},
year = {2020},
date = {2020-01-23},
booktitle = {電子情報通信学会},
volume = {119},
number = {406},
pages = {69-74},
abstract = {As society becomes increasingly interconnected, the need for sophisticated signal processing and data analysis techniques becomes increasingly apparent, particularly in the field of Intelligent Transportation Systems (ITS) where various sensing applications generate data at an exponential rate. In this paper, we put a forward a compressive sensing-based system to extract information from passing vehicle sounds sampled at sub-Nyquist rates for Acoustic Vehicle Detection and Identification (AVDI) applications. The obtained compressive measurements are used to detect and identify passing vehicles. Initial evaluation is performed using data obtained from roads on a university campus and with a back-end ADC sample rate of 3kHz. },
keywords = {Acoustic sensing},
pubstate = {published},
tppubtype = {conference}
}