| Presentation | 2020-03-05 Object identification with millimeter-wave radar using LSTM Takashi Nakamura, Kentaroh Toyoda, Tomoaki Ohtsuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Identifying objects is in great demand for avoiding road accidents. Radar-based method is superior to camera-based one in terms of lighting and weather resistance. In the conventional method, the time-domain mean and variance of features of radar information is extracted. On the other hand, deep-learning-based method that uses received radar information for inputting is proposed. However, this method only classifies static road objects. In this report, we propose a time-series-based on-road object identification using LSTM (Long Short Term Memory). We extract features from a received radar information, and then time-series of successive features are used as the inputs for LSTM. In the experiments, we evaluated the classification performance of objects between the proposed method and conventional one. The measured objects consider road crossing or rushing out in a practical urban environment. As a result, it is shown that our method outperforms the conventional one by a 0.98 True Positive Rate. Additionally, we evaluated the computational time and compared the result of the proposed method with those of conventional one. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | millimeter-wave radar / object identification / automotive system / pedestrian detection |
| Paper # | RCS2019-349 |
| Date of Issue | 2020-02-26 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) |
| Secretary | Satoshi Suyama(NTT) / Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokyo Inst. of Tech.) / Keiichi Mizutani(Anritsu) |
| Assistant | Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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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 millimeter-wave radar using LSTM |
| 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 | A*STAR, SIMTech, Singapore(A*STAR, SIMTech, Singapore) |
| 3rd Author's Name | Tomoaki Ohtsuki |
| 3rd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2020-03-05 |
| Paper # | RCS2019-349 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-448 |
| Page | pp.pp.153-158(RCS), |
| #Pages | 6 |
| Date of Issue | 2020-02-26 (RCS) |