High-precision GPS measurement for motorcycle trajectory using kalman filter

Yuichiro Koyama, Tan Kok Liang, Toshiyuki Tanaka

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

The method for measuring a motorcycle trajectory accurately using only GPS is demanded in various fields. In GPS measurement of a motorcycle trajectory, both declination of the body and obstacles near the course cause a bad measurement of trajectory. We propose a new algorithm for GPS measurement of a motorcycle trajectory. The missing observation data within a few seconds are interpolated by curve of the second order. In the result, we obtain the trajectory with excellent continuity and stability. In addition, we make the trajectory smooth using extended Kalman filter. We succeeded in getting the trajectory with high accuracy, which is sufficiently continuous. The precision is equal to that of fixed point positioning given sufficient number of available satellites.

本文言語English
ホスト出版物のタイトルINSS2009 - 6th International Conference on Networked Sensing Systems
ページ102-105
ページ数4
DOI
出版ステータスPublished - 2009 12月 1
イベント6th International Conference on Networked Sensing Systems, INSS2009 - Pittsburgh, PA, United States
継続期間: 2009 6月 172009 6月 19

出版物シリーズ

名前INSS2009 - 6th International Conference on Networked Sensing Systems

Other

Other6th International Conference on Networked Sensing Systems, INSS2009
国/地域United States
CityPittsburgh, PA
Period09/6/1709/6/19

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信

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