Presentation | 2019-07-11 [Poster Presentation] A Study on GPS Location Estimation Method Based on Deep Learning Aoi Yamano, Koji Ishii, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The aim of this work is to enhance the accuracy of GPS position estimation in a multipath rich environment such as urban areas by using the image information from the camera as well as GPS signals. To make this, we need to integrate the information from GPS signal and camera image and thus try to make it with a machine learning technique. We have previously studied the multilayer perceptron based location estimation from the GPS signals for replacing the conventional GPS signaling. However, the accuracy of the multilayer perceptron based estimation has significantly worse performance compared to the conventional GPS signaling based estimation. This work expands the multilayer percepton based estimation to a deep learning based estimation and tries to improve the accuracy of estimation. Furthermore, we reconsider the suitable training data for the focused machine learning and provide some simulation results corresponding to the kind of data. It is seen from some simulation results that the accuracy of estimation of the deep learning based estimation has better performance compared to the multilayer perceptron based estimation, but still has worse performance compared to the traditional GPS signaling based estimation. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | GPS / deep learning |
Paper # | RCC2019-22,NS2019-58,RCS2019-115,SR2019-34,SeMI2019-31 |
Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |
Conference Information | |
Committee | SeMI / RCS / NS / SR / RCC |
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Conference Date | 2019/7/10(3days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | I-Site Nanba(Osaka) |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | Communication and Networked Control for the Future Radio of the AI Age, etc |
Chair | Susumu Ishihara(Shizuoka Univ.) / Tomoaki Otsuki(Keio Univ.) / Yoshikatsu Okazaki(NTT) / Masayuki Ariyoshi(NEC) / Kazunori Hayashi(Osaka City Univ.) |
Vice Chair | Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Akihiro Nakao(Univ. of Tokyo) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) |
Secretary | Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(NTT DOCOMO) / Satoshi Suyama(Hitachi) / Fumiaki Maehara(NTT) / Toshihiko Nishimura(Kyushu Univ.) / Akihiro Nakao(Osaka Pref Univ.) / Suguru Kameda(NTT) / Osamu Takyu(ATR) / Kentaro Ishidu(Univ. of Electro-Comm.) / Shunichi Azuma(Mie Univ.) / HUAN-BANG LI(Kagawa Univ.) |
Assistant | Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Shinya Kumagai(Fujitsu) / Shinya Kawano(NTT) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu) / Kentaro Kobayashi(Nagoya Univ.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST) |
Paper Information | |
Registration To | Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Radio Communication Systems / Technical Committee on Network Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | [Poster Presentation] A Study on GPS Location Estimation Method Based on Deep Learning |
Sub Title (in English) | |
Keyword(1) | GPS |
Keyword(2) | deep learning |
1st Author's Name | Aoi Yamano |
1st Author's Affiliation | Kagawa University(Kagawa Univ.) |
2nd Author's Name | Koji Ishii |
2nd Author's Affiliation | Kagawa University(Kagawa Univ.) |
Date | 2019-07-11 |
Paper # | RCC2019-22,NS2019-58,RCS2019-115,SR2019-34,SeMI2019-31 |
Volume (vol) | vol.119 |
Number (no) | RCC-106,NS-107,RCS-108,SR-109,SeMI-110 |
Page | pp.pp.55-60(RCC), pp.81-86(NS), pp.77-82(RCS), pp.87-92(SR), pp.69-74(SeMI), |
#Pages | 6 |
Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |