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Evaluation of AHRS Algorithms for Inertial Personal Localization in Industrial Environments

AutorMuñoz Díaz, Estefanía; Ponte-Müller, Fabian de; Jiménez Ruiz, Antonio R. ; Zampella, Francisco
Palabras claveIndustrial Environments
Inertial personal localization
AHRS Algorithms
Fecha de publicación17-feb-2015
EditorInstitute of Electrical and Electronics Engineers
CitaciónMunoz Diaz, E., Ponte-Müller, F. de; Jiménez Ruiz, A. R.; Zampella, F. Evaluation of AHRS Algorithms for Inertial Personal Localization in Industrial Environments, Proceedings of the IEEE International Conference on Industrial Technology (ICIT). 3412 - 3417 pp. 2015
ResumenThis paper presents a comparison among several state-of-the-art Attitude and Heading Reference Systems (AHRS). These algorithms can be used for 3D orientation and position estimation of users or devices. The robust performance of these AHRS algorithms is of paramount importance, specially in environments with potential external perturbations, such as industrial environments. The comparison among AHRS algorithms presented in this paper also includes an algorithm recently proposed by the authors (DLR-AHRS). In this paper the performance of the different AHRS will be studied, including the effect of magnetic perturbations on the performance of orientation estimation, and the effect of using different patterns of motion when the sensor is carried by a user at different locations (pocket, foot/shoe, hand). These AHRS algorithms are also compared with the Kalman-based commercially available AHRS algorithm of Xsens. The performance of the AHRS algorithms depends strongly on the strategies used to reject perturbations (sudden accelerations or deformations of the Earth magnetic field) and the ability of the systems to estimate the biases of the gyroscopes.
Versión del editorhttp://dx.doi.org/10.1109/ICIT.2015.7125605
Aparece en las colecciones: (CAR) Comunicaciones congresos
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