Presentation | 2016-12-02 Pedestrian Positioning with the aid of Google Earth and Google Maps Street View Haitao Wang, Yanlei Gu, Shunsuke Kamijo, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Pedestrian navigation becomes one of the most used services in people’s city lives. The satisfied navigation service needs an accurate positioning technology. In addition, the positioning technology is expected to be performed in the compacted and daily used devices, such as smartphone and smart glasses. Even though the current smartphones have integrated multiple sensors, such as Global Navigation Satellite System (GNSS) receiver, gyroscope, accelerometer and magnetometer sensors the quality of positioning in urban environment is still not satisfied. The reasons of the huge error include GNSS signals reflections, high dynamic of pedestrian activities and disturbance of the magnetic field in urban. In this paper, we propose to utilize the camera sensor for improving the accuracy of the positioning. The camera sensor could provide the visual observation. This observation is compared with the available Google Maps Street View to provide the corrected positions. With the visual matching between the pedestrian’s geo-tagged photo and the reference images from Google Maps Street View, we expect to reduce the positioning error to 4 meters, and further distinguish which side of the road or which corner of the crossroads the pedestrian is in. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Pedestrian PositioningVisual MatchingPose EstimationPose EstimationGoogle Maps Street View |
Paper # | WBS2016-67,ITS2016-34,RCC2016-56 |
Date of Issue | 2016-11-24 (WBS, ITS, RCC) |
Conference Information | |
Committee | WBS / RCC / ITS |
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Conference Date | 2016/12/1(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | Sunport Hall Takamatsu |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | ITS Communications, Reliable Communication and Control, Rader and Sensing, etc. |
Chair | Fumiaki Maehara(Waseda Univ.) / Shinsuke Hara(Osaka City Univ.) / Tomotaka Nagaosa(Kanto Gakuin Univ.) |
Vice Chair | Masanori Hamamura(Kochi Univ. of Tech.) / Fumie Ono(NICT) / Kazunori Hayashi(Kyoto Univ.) / Ryu Miura(NICT) / Masahiro Fujii(Utsunomiya Univ.) / Tomotaka Wada(Kansai Univ.) |
Secretary | Masanori Hamamura(Tokyo City Univ.) / Fumie Ono(Mitsubishi Electric) / Kazunori Hayashi(Kagawa Univ.) / Ryu Miura(Hokkaido Univ.) / Masahiro Fujii(Meiji Univ.) / Tomotaka Wada(AIST) |
Assistant | Yusuke Kozawa(Tokyo Univ. of Science) / Akira Nakamura(Tokyo Univ. of Science) / Ryohei Nakamura(National Defense Academy) / Toshinori Kagawa(NICT) / Kentaro Kobayashi(Nagoya Univ.) / Tetsuya Manabe(Saitama Univ.) / Yanlei Gu(Univ. of Tokyo) / Koichiro Hashiura(Akita Pref. Univ.) |
Paper Information | |
Registration To | Technical Committee on Wideband System / Technical Committee on Reliable Communication and Control / Technical Committee on Intelligent Transport Systems Technology |
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Language | ENG |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Pedestrian Positioning with the aid of Google Earth and Google Maps Street View |
Sub Title (in English) | |
Keyword(1) | Pedestrian PositioningVisual MatchingPose EstimationPose EstimationGoogle Maps Street View |
1st Author's Name | Haitao Wang |
1st Author's Affiliation | The University of Tokyo(UTokyo) |
2nd Author's Name | Yanlei Gu |
2nd Author's Affiliation | The University of Tokyo(UTokyo) |
3rd Author's Name | Shunsuke Kamijo |
3rd Author's Affiliation | The University of Tokyo(UTokyo) |
Date | 2016-12-02 |
Paper # | WBS2016-67,ITS2016-34,RCC2016-56 |
Volume (vol) | vol.116 |
Number (no) | WBS-337,ITS-338,RCC-339 |
Page | pp.pp.113-118(WBS), pp.113-118(ITS), pp.113-118(RCC), |
#Pages | 6 |
Date of Issue | 2016-11-24 (WBS, ITS, RCC) |