Presentation | 2018-08-10 Object Identification with Time Series of Millimeter-wave Radar Information Takashi Nakamura, Kentaroh Toyoda, Tomoaki Ohtsuki, Osamu Isaji, Kazuaki Hamada, Toshiyuki Miyazaki, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Identifying objects with radar is in great demand for avoiding road accidents. Recent research tried to identify moving objects on a road by inputting radar information to a machine learning classifier. In the conventional method, the features used in the machine learning are extracted from the observed radar information with a short time interval. Since the movement of the objects is different depending on the objects, time series information is effective for classification, which has not been exploited before. In this report, we propose a machine learning-based object identification using time series of radar information obtained from the time window that contains series of features. We extract features from a series of features by calculating the mean and variance of object information, i.e., velocity, signal power, and distance. Some experiments were carried out, and the classification performance was evaluated. From the classification results, it is shown that our method outperforms the conventional one of which features are extracted with a short time slice. It is also shown how much each feature contributes to the object identification in our method. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | millimeter-wave radar / object identification / automotive system / pedestrian detection |
Paper # | RCS2018-145 |
Date of Issue | 2018-08-02 (RCS) |
Conference Information | |
Committee | SAT / RCS |
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Conference Date | 2018/8/9(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Iwate University |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Wireless Communications, etc. |
Chair | Hiroyuki Tsuji(NICT) / Tomoaki Otsuki(Keio Univ.) |
Vice Chair | Hisashi Sujikai(NHK) / Fumihiro Yamashita(NTT) / Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) |
Secretary | Hisashi Sujikai(NTT) / Fumihiro Yamashita(NICT) / Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara |
Assistant | / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) |
Paper Information | |
Registration To | Technical Committee on Satellite Telecommunications / Technical Committee on Radio Communication Systems |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Object Identification with Time Series of Millimeter-wave Radar Information |
Sub Title (in English) | |
Keyword(1) | millimeter-wave radar |
Keyword(2) | object identification |
Keyword(3) | automotive system |
Keyword(4) | pedestrian detection |
1st Author's Name | Takashi Nakamura |
1st Author's Affiliation | Keio University(Keio Univ.) |
2nd Author's Name | Kentaroh Toyoda |
2nd Author's Affiliation | Keio University(Keio Univ.) |
3rd Author's Name | Tomoaki Ohtsuki |
3rd Author's Affiliation | Keio University(Keio Univ.) |
4th Author's Name | Osamu Isaji |
4th Author's Affiliation | DENSO TEN Limited(DENSO TEN) |
5th Author's Name | Kazuaki Hamada |
5th Author's Affiliation | DENSO TEN Limited(DENSO TEN) |
6th Author's Name | Toshiyuki Miyazaki |
6th Author's Affiliation | DENSO TEN Limited(DENSO TEN) |
Date | 2018-08-10 |
Paper # | RCS2018-145 |
Volume (vol) | vol.118 |
Number (no) | RCS-177 |
Page | pp.pp.75-80(RCS), |
#Pages | 6 |
Date of Issue | 2018-08-02 (RCS) |