加速度计的自动校准方法,用python实现。
calibraxis的Python项目详细描述
加速度计标定方法的python/numpy实现 在[1]中描述。这是python对 在[2]找到Matlab例程。
安装
$ pip install git+git://github.com/hbldh/calibraxis.git
用法
importnumpyasnpfromcalibraxisimportCalibraxisc=Calibraxis()points=np.array([[-4772.38754098,154.04459016,-204.39081967],[3525.0346179,-68.64924886,-34.54604833],[-658.17681729,-4137.60248854,-140.49377865],[-564.18562092,4200.29150327,-130.51895425],[-543.18289474,18.14736842,-4184.43026316],[-696.62532808,15.70209974,3910.20734908],[406.65271419,18.46827992,-4064.61085677],[559.45926413,-3989.69513798,-174.71879106],[597.22629169,-3655.54153041,-1662.83257031],[1519.02616089,-603.82472204,3290.58469588]])# Add points to calibration object's storage.c.add_points(points)# Run the calibration parameter optimization.c.calibrate_accelerometer()# Applying the calibration parameters to the calibration data.c.apply(points[0:])>>>(-0.9998374717802275,0.018413117166568103,-0.015581921828828033)c.batch_apply(points)>>>[(-0.9998374717802275,0.018413117166568103,-0.015581921828828033),(0.9992961622260429,-0.013214366898928225,0.02485664909901566),(-0.019529368790511807,-0.9999036558762957,-0.0016168646941819831),(0.02495705262007455,0.9997148237911497,0.002962712686085044),(0.01976766176204912,-0.004116860997835083,-0.9989226575863294),(-0.01861952448274546,-0.0030340053509653056,0.9994716286085392),(0.2486658848595297,-0.0015217968569550546,-0.9695063568748282),(0.2743240898265507,-0.9612564659612206,-0.01023892300189375),(0.2845586995260631,-0.8814105592109305,-0.37753891563574526),(0.5138552246439876,-0.14594841230046982,0.8459602354269684)]
文件
待定。
参考文献
[1] | Frosio, I.; Pedersini, F.; Alberto Borghese, N., “Autocalibration of MEMS Accelerometers,” Instrumentation and Measurement, IEEE Transactions on, vol.58, no.6, pp.2034,2041, June 2009 |
[2] | Matlab File Central. |