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• W2520296859 abstract "This paper is concerned with the attitude/position estimation of a rigid-body using inertial and vision sensors. By employing the Newton-Euler method, a kinematic model is developed for the rigid-body by treating the inertial measurements as inputs. Based on the coordinate transformation, a nonlinear visual observation model is proposed by using the image coordinates of feature points as observations. Then the Extended Kalman filter (EKF) is utilized to estimate the attitude/position recursively. The effectiveness of the proposed algorithm is evaluated by simulation." @default.
• W2520296859 created "2016-09-23" @default.
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• W2520296859 date "2016-01-01" @default.
• W2520296859 modified "2023-10-18" @default.
• W2520296859 title "Attitude/Position Estimation of Rigid-Body using Inertial and Vision Sensors" @default.
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• W2520296859 doi "https://doi.org/10.2991/jrnal.2016.3.2.8" @default.
• W2520296859 hasPublicationYear "2016" @default.
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