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supp:sensor_fusion:start [2024/05/25 10:20] – [Madgwick Filter] rolfsupp:sensor_fusion:start [2024/05/25 10:48] – [Kalman Filter] rolf
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   * Extended Kalman Filter (EMF)   * Extended Kalman Filter (EMF)
  
 +
 +===== Literature =====
 +
 +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://doi.org/10.3390/s21072543 or https://www.mdpi.com/10607
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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://doi.org/10.3390/s24030871
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 +
 +M. Kok, J. D. Hol and T. B. Schön, "Indoor Positioning Using Ultrawideband and Inertial Measurements," in IEEE Transactions on Vehicular Technology, vol. 64, no. 4, pp. 1293-1303, April 2015, https://doi.org/10.1109/TVT.2015.2396640
 +
 +
 +===== Xsens / Daniel Roetenberg =====
 +
 +  * Patents: https://patents.justia.com/inventor/daniel-roetenberg
 ===== Kalman Filter ===== ===== Kalman Filter =====
  
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 {{youtube>6qV3YjFppuc?}} {{youtube>6qV3YjFppuc?}}
  
 +{{youtube>E-6paM_Iwfc?}}
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 ===== Madgwick Filter ===== ===== Madgwick Filter =====
  
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 https://ahrs.readthedocs.io/en/latest/filters/madgwick.html https://ahrs.readthedocs.io/en/latest/filters/madgwick.html
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 +===== Sensor fusion approach as a maximum a posteriori (MAP) problem =====
 +
  
supp/sensor_fusion/start.txt · Last modified: 2024/06/02 08:33 by rolf