Do the sensor fusion algorithms of Core Motion take advantage of the Kalman filter?

梦想与她 提交于 2019-12-06 23:05:56

问题


Do the sensor fusion algorithms of Core Motion take advantage of the Kalman filter?


回答1:


Update on June 22, 2016

According to the documentation provided by Apple,

The processed device-motion data provided by Core Motion’s sensor fusion algorithms gives the device’s attitude, rotation rate, calibrated magnetic fields, the direction of gravity, and the acceleration the user is imparting to the device.

That is, some sort of sensor fusion algorithm has been provided by now. I cannot tell from this piece of information whether that sensor fusion algorithm is the Kalman filter, or something equally good.


(Answer back from 2011.)

No, according to this post.

Update on Aug 20, 2011

It is not clear from Apple's documentation (note: this linked pages has disappeared by June 22, 2016) what is actually provided. It does not seem to be a Kalman filter implementation.

According to Kay (who sent me the above link) his own Kalman filter provides better results.



来源:https://stackoverflow.com/questions/5492617/do-the-sensor-fusion-algorithms-of-core-motion-take-advantage-of-the-kalman-filt

易学教程内所有资源均来自网络或用户发布的内容,如有违反法律规定的内容欢迎反馈
该文章没有解决你所遇到的问题?点击提问,说说你的问题,让更多的人一起探讨吧!