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A Kalman/particle filter-based position and orientation estimation method using a position sensor/inertial measurement unit hybrid system / Won, Seong-Hoon .Peter in IEEE transactions on industrial electronics, Vol. 57 N° 5 (Mai 2010) 

Public ISBD [article]  in IEEE transactions on industrial electronics > Vol. 57 N° 5 (Mai 2010) . - pp. 1787 - 1798 Titre : A Kalman/particle filter-based position and orientation estimation method using a position sensor/inertial measurement unit hybrid system Type de document : texte imprimé Auteurs : Won, Seong-Hoon .Peter, Auteur ; Melek, Wael William, Auteur ; Golnaraghi, Farid, Auteur Année de publication : 2011 Article en page(s) : pp. 1787 - 1798 Note générale : Génie électrique Langues : Anglais (eng) Mots-clés : Accelerometer  Expert  system  Gyro  Inertial  measurement  unit  (IMU)  Kalman  filter  (KF)  Orientation  Particle  filter  (PF)  Position Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents a novel methodology that estimates position and orientation using one position sensor and one inertial measurement unit. The proposed method estimates orientation using a particle filter and estimates position and velocity using a Kalman filter (KF). In addition, an expert system is used to correct the angular velocity measurement errors. The experimental results show that the orientation errors using the proposed method are significantly reduced compared to the orientation errors obtained from an extended Kalman filter (EKF) approach. The improved orientation estimation using the proposed method leads to better position estimation accuracy. This paper studies the effects of the number of particles of the proposed filter and position sensor noise on the orientation accuracy. Furthermore, the experimental results show that the orientation of the proposed method converges to the correct orientation even when the initial orientation is completely unknown. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5256216 [article] A Kalman/particle filter-based position and orientation estimation method using a position sensor/inertial measurement unit hybrid system [texte imprimé] / Won, Seong-Hoon .Peter, Auteur ; Melek, Wael William, Auteur ; Golnaraghi, Farid, Auteur . - 2011 . - pp. 1787 - 1798. Génie électrique Langues : Anglais (eng) in IEEE transactions on industrial electronics > Vol. 57 N° 5 (Mai 2010) . - pp. 1787 - 1798 Mots-clés : Accelerometer  Expert  system  Gyro  Inertial  measurement  unit  (IMU)  Kalman  filter  (KF)  Orientation  Particle  filter  (PF)  Position Index. décimale : 621.38 Dispositifs électroniques. Tubes à électrons. Photocellules. Accélérateurs de particules. Tubes à rayons X Résumé : This paper presents a novel methodology that estimates position and orientation using one position sensor and one inertial measurement unit. The proposed method estimates orientation using a particle filter and estimates position and velocity using a Kalman filter (KF). In addition, an expert system is used to correct the angular velocity measurement errors. The experimental results show that the orientation errors using the proposed method are significantly reduced compared to the orientation errors obtained from an extended Kalman filter (EKF) approach. The improved orientation estimation using the proposed method leads to better position estimation accuracy. This paper studies the effects of the number of particles of the proposed filter and position sensor noise on the orientation accuracy. Furthermore, the experimental results show that the orientation of the proposed method converges to the correct orientation even when the initial orientation is completely unknown. DEWEY : 621.38 ISSN : 0278-0046 En ligne : http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5256216