| Título |
Pedestrian dead reckoning with attitude estimation using a fuzzy logic tuned adaptive kalman filter |
| Tipo |
Congreso |
| Sub-tipo |
SCOPUS |
| Descripción |
LASCAS 2013
2013 IEEE 4th Latin American Symposium on Circuits and Systems |
| Resumen |
This paper presents a fuzzy logic-based pedestrian dead reckoning system relying on information derived from an inertial measurement unit (IMU) and a triaxial gyroscope. Attitude estimation is performed using a fuzzy logic tuned adaptive Kalman filter on the information fusion process. Adaptive tuning of the covariance matrices corresponding to the process and measurement noise, is carried out using a fuzzy inference system on the filter innovation sequence through a covariance-matching technique. Pedestrian walk estimation is also performed through a fuzzy logic approach which characterizes frequency and length step. Preliminary results showed an accumulate error around 6.4 % in average |
| Observaciones |
DOI: 10.1109/LASCAS.2013.6519054 |
| Lugar |
Cusco |
| País |
Peru |
| No. de páginas |
- |
| Vol. / Cap. |
Article number 6519054 |
| Inicio |
2013-02-27 |
| Fin |
2013-03-01 |
| ISBN/ISSN |
978-142449485-9 |
