MadgwickIMU: Madgwick's IMU algorithm
In RAHRS: Data Fusion Filters for Attitude Heading Reference System (AHRS) with Several Variants of the Kalman Filter and the Mahoney and Madgwick Filters
Description
Usage
Arguments
Value
Author(s)
References
Description
Implementation of Madgwick's IMU algorithm.
Usage
1
MadgwickIMU(MSamplePeriod, MBeta, q, Gyroscope, Accelerometer)
Arguments
MSamplePeriod
Sample Period.
MBeta
Algorithm gain beta.
q
Quaternion.
Gyroscope
Gyroscope measurement.
Accelerometer
Accelerometer measurement.
Value
Quaternion describing the Earth relative to the sensor.
Author(s)
Jose Gama
References
S. O. H. Madgwick, An efficient orientation filter for inertial and
inertial/magnetic sensor arrays, Technical report,
University of. Bristol University, UK, 2010.
RAHRS documentation built on May 2, 2019, 2:42 a.m.
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Description Usage Arguments Value Author(s) References
Description
Implementation of Madgwick's IMU algorithm.
Usage
1 | MadgwickIMU(MSamplePeriod, MBeta, q, Gyroscope, Accelerometer)
|
Arguments
MSamplePeriod |
Sample Period. |
MBeta |
Algorithm gain beta. |
q |
Quaternion. |
Gyroscope |
Gyroscope measurement. |
Accelerometer |
Accelerometer measurement. |
Value
Quaternion describing the Earth relative to the sensor.
Author(s)
Jose Gama
References
S. O. H. Madgwick, An efficient orientation filter for inertial and inertial/magnetic sensor arrays, Technical report, University of. Bristol University, UK, 2010.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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