TY - GEN
T1 - High-precision GPS measurement for motorcycle trajectory using kalman filter
AU - Koyama, Yuichiro
AU - Liang, Tan Kok
AU - Tanaka, Toshiyuki
PY - 2009/12/1
Y1 - 2009/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=77950122005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77950122005&partnerID=8YFLogxK
U2 - 10.1109/INSS.2009.5409940
DO - 10.1109/INSS.2009.5409940
M3 - Conference contribution
AN - SCOPUS:77950122005
SN - 9781424463145
T3 - INSS2009 - 6th International Conference on Networked Sensing Systems
SP - 102
EP - 105
BT - INSS2009 - 6th International Conference on Networked Sensing Systems
T2 - 6th International Conference on Networked Sensing Systems, INSS2009
Y2 - 17 June 2009 through 19 June 2009
ER -