supp:sensor_fusion:start
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supp:sensor_fusion:start [2024/05/25 10:19] – [Madgwick Filter] rolf | supp:sensor_fusion:start [2024/06/02 08:33] (current) – [Literature] rolf | ||
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* Extended Kalman Filter (EMF) | * Extended Kalman Filter (EMF) | ||
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+ | ===== Literature ===== | ||
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+ | Caruso, M.; Sabatini, A.M.; Laidig, D.; Seel, T.; Knaflitz, M.; Della Croce, U.; Cereatti, A. Analysis of the Accuracy of Ten Algorithms for Orientation Estimation Using Inertial and Magnetic Sensing under Optimal Conditions: One Size Does Not Fit All. Sensors 2021, 21, 2543. https:// | ||
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+ | Debertin, D.; Wargel, A.; Mohr, M. Reliability of Xsens IMU-Based Lower Extremity Joint Angles during In-Field Running. Sensors 2024, 24, 871. https:// | ||
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+ | M. Kok, J. D. Hol and T. B. Schön, " | ||
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+ | ===== Xsens / Daniel Roetenberg ===== | ||
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+ | * Patents: https:// | ||
===== Kalman Filter ===== | ===== Kalman Filter ===== | ||
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{{youtube> | {{youtube> | ||
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===== Madgwick Filter ===== | ===== Madgwick Filter ===== | ||
{{youtube> | {{youtube> | ||
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+ | https:// | ||
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+ | ===== Sensor fusion approach as a maximum a posteriori (MAP) problem ===== | ||
supp/sensor_fusion/start.1716632383.txt.gz · Last modified: 2024/05/25 10:19 by rolf