RAHRS: Data fusion filters for Attitude Heading Reference System (AHRS) with several variants of the Kalman filter and the Mahoney and Madgwick filters

R implementation of data fusion filters for Attitude Heading Reference System (AHRS) based on Vlad Maximov's GyroLib AHRS library (quaternion based linearized/extended/unscented Kalman filter, Euler based LKF, gyro-free with vector matching, SVD calibration and EKF calibration), Sebastian O.H. Madgwick AHRS algorithms and Sebastian O.H. Madgwick implementation of Mayhony et al AHRS algorithm.

Version: 1.0.1
Depends: R (≥ 2.10), pracma, RSpincalc (≥ 1.0.1)
Published: 2014-03-01
Author: Jose' Gama [aut, cre, trl], Vlad Maximov [aut], Sebastian O.H. Madgwick [aut], Alain Barraud [ctb], Göran Högnäs [ths]
Maintainer: Jose' Gama <jgama at abo.fi>
License: GPL (≥ 3)
NeedsCompilation: yes
CRAN checks: RAHRS results

Downloads:

Reference manual: RAHRS.pdf
Package source: RAHRS_1.0.1.tar.gz
Windows binaries: r-devel: RAHRS_1.0.1.zip, r-release: RAHRS_1.0.1.zip, r-oldrel: RAHRS_1.0.1.zip
OS X Snow Leopard binaries: r-release: RAHRS_1.0.1.tgz, r-oldrel: RAHRS_1.0.1.tgz
OS X Mavericks binaries: r-release: RAHRS_1.0.1.tgz
Old sources: RAHRS archive