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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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
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
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)