High-precision GPS measurement for motorcycle trajectory using kalman filter

Yuichiro Koyama, Tan Kok Liang, Toshiyuki Tanaka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationINSS2009 - 6th International Conference on Networked Sensing Systems
Pages102-105
Number of pages4
DOIs
Publication statusPublished - 2009 Dec 1
Event6th International Conference on Networked Sensing Systems, INSS2009 - Pittsburgh, PA, United States
Duration: 2009 Jun 172009 Jun 19

Publication series

NameINSS2009 - 6th International Conference on Networked Sensing Systems

Other

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

ASJC Scopus subject areas

  • Computer Networks and Communications

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    Koyama, Y., Liang, T. K., & Tanaka, T. (2009). High-precision GPS measurement for motorcycle trajectory using kalman filter. In INSS2009 - 6th International Conference on Networked Sensing Systems (pp. 102-105). [5409940] (INSS2009 - 6th International Conference on Networked Sensing Systems). https://doi.org/10.1109/INSS.2009.5409940