論文

査読有り 筆頭著者
2011年12月

Improvement of GPS and Glonass positioning accuracy by multipath mitigation using omnidirectional infrared camera

Journal of Robotics and Mechatronics
  • Mitsunori Kitamura
  • ,
  • Taro Suzuki
  • ,
  • Yoshiharu Amano
  • ,
  • Takumi Hashizume

23
6
開始ページ
1125
終了ページ
1131
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.20965/jrm.2011.p1125

This paper describes a precision positioning technique that can be applied to vehicles or mobile robots in urban or leafy environments. The availability of satellite positioning is currently expected to improve due to the presence of positioning satellites such as US GPS, Russia's Glonass and Europe's Galileo. Due to the serious multipath impact on positioning accuracy in urban or leafy areas, however, improvements in satellite positioning availability do not necessarily facilitate highprecision positioning. Our proposed technique mitigates the GPS and Glonass multipath using an omnidirectional infrared (IR) camera that can eliminate the need for invisible satellites using IR images. With an IR camera, the sky appears distinctively dark. This facilitates the detection of the borderline between the sky and surrounding buildings and foliage due to the difference in atmospheric transmittance between visible light and IR rays, since buildings and foliage appear white. The proposed technique can automatically and robustly mitigate the GPS and Glonass multipath by excluding invisible satellites. Positioning was evaluated with visible satellites, which have less multipath error and without using invisible satellites. Evaluation results confirmed the effectiveness of the proposed technique and the feasibility of its highly accurate positioning.

リンク情報
DOI
https://doi.org/10.20965/jrm.2011.p1125
Scopus
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84863062245&origin=inward
Scopus Citedby
https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84863062245&origin=inward
ID情報
  • DOI : 10.20965/jrm.2011.p1125
  • ISSN : 0915-3942
  • eISSN : 1883-8049
  • SCOPUS ID : 84863062245

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