講演抄録/キーワード |
講演名 |
2020-01-31 09:25
Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System ○Billy Dawton・Shigemi Ishida・Yuki Hori・Masato Uchino・Yutaka Arakawa・Akira Fukuda(Kyushu Univ.) SeMI2019-116 |
抄録 |
(和) |
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. |
(英) |
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. |
キーワード |
(和) |
Intelligent Transportation Systems (ITS) / Acoustic Vehicle Detection / Compressive Sensing (CS) / Feature Extraction / / / / |
(英) |
Intelligent Transportation Systems (ITS) / Acoustic Vehicle Detection / Compressive Sensing (CS) / Feature Extraction / / / / |
文献情報 |
信学技報, vol. 119, no. 406, SeMI2019-116, pp. 69-74, 2020年1月. |
資料番号 |
SeMI2019-116 |
発行日 |
2020-01-23 (SeMI) |
ISSN |
Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
SeMI2019-116 |