講演名 | 2020-01-31 Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System Billy Dawton(九大), Shigemi Ishida(九大), Yuki Hori(九大), Masato Uchino(九大), Yutaka Arakawa(九大), Akira Fukuda(九大), |
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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. |
抄録(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 |
キーワード(英) | Intelligent Transportation Systems (ITS) / Acoustic Vehicle Detection / Compressive Sensing (CS) / Feature Extraction |
資料番号 | SeMI2019-116 |
発行日 | 2020-01-23 (SeMI) |
研究会情報 | |
研究会 | SeMI |
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開催期間 | 2020/1/30(から2日開催) |
開催地(和) | ことひら温泉琴参閣 |
開催地(英) | |
テーマ(和) | センシング,モビリティ,モバイル・ユビキタスコンピューティング,センサ・アドホック・モバイルネットワーク,アプリケーション,一般 |
テーマ(英) | |
委員長氏名(和) | 石原 進(静岡大) |
委員長氏名(英) | Susumu Ishihara(Shizuoka Univ.) |
副委員長氏名(和) | 門田 和也(日立) / 山本 高至(京大) |
副委員長氏名(英) | Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) |
幹事氏名(和) | 西尾 理志(京大) / 齊藤 隆仁(NTTドコモ) / 五十嵐 悠一(日立) |
幹事氏名(英) | Takayuki Nishio(Kyoto Univ.) / Takato Saitou(NTT DOCOMO) / Yuichi Igarashi(Hitachi) |
幹事補佐氏名(和) | 内山 彰(阪大) / 金井 謙治(早大) / 橋本 匡史(阪大) |
幹事補佐氏名(英) | Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) |
講演論文情報詳細 | |
申込み研究会 | Technical Committee on Sensor Network and Mobile Intelligence |
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本文の言語 | ENG |
タイトル(和) | |
サブタイトル(和) | |
タイトル(英) | Initial Evaluation of a Compressive Measurement-Based Acoustic Vehicle Detection and Identification System |
サブタイトル(和) | |
キーワード(1)(和/英) | Intelligent Transportation Systems (ITS) / Intelligent Transportation Systems (ITS) |
キーワード(2)(和/英) | Acoustic Vehicle Detection / Acoustic Vehicle Detection |
キーワード(3)(和/英) | Compressive Sensing (CS) / Compressive Sensing (CS) |
キーワード(4)(和/英) | Feature Extraction / Feature Extraction |
第 1 著者 氏名(和/英) | Billy Dawton / Billy Dawton |
第 1 著者 所属(和/英) | Kyushu University(略称:九大) Kyushu University(略称:Kyushu Univ.) |
第 2 著者 氏名(和/英) | Shigemi Ishida / Shigemi Ishida |
第 2 著者 所属(和/英) | Kyushu University(略称:九大) Kyushu University(略称:Kyushu Univ.) |
第 3 著者 氏名(和/英) | Yuki Hori / Yuki Hori |
第 3 著者 所属(和/英) | Kyushu University(略称:九大) Kyushu University(略称:Kyushu Univ.) |
第 4 著者 氏名(和/英) | Masato Uchino / Masato Uchino |
第 4 著者 所属(和/英) | Kyushu University(略称:九大) Kyushu University(略称:Kyushu Univ.) |
第 5 著者 氏名(和/英) | Yutaka Arakawa / Yutaka Arakawa |
第 5 著者 所属(和/英) | Kyushu University(略称:九大) Kyushu University(略称:Kyushu Univ.) |
第 6 著者 氏名(和/英) | Akira Fukuda / Akira Fukuda |
第 6 著者 所属(和/英) | Kyushu University(略称:九大) Kyushu University(略称:Kyushu Univ.) |
発表年月日 | 2020-01-31 |
資料番号 | SeMI2019-116 |
巻番号(vol) | vol.119 |
号番号(no) | SeMI-406 |
ページ範囲 | pp.69-74(SeMI), |
ページ数 | 6 |
発行日 | 2020-01-23 (SeMI) |