Fusing data and getting distance,position with INVENSESNE 91

The library included with the SDK can fuse the data from the 3 sensors mentioned. This will give you the orientation of the device. We don't yet have a solution for absolute positioning.

Hi SECTIONSBEST!

Is INVENSENSE working in a solution to estimate position and linear velocity?

If not, INVENSENSE intend to develop it?

We know that to estimate position we cannot use only double integration...
But what the biggests challenges to do that?

Why INVENSENSE do not give any information about error on orientation estimation algorithms?

Thanks,
Anderson Oliveira

Ascension Technologies obtained position from magnetometers alone. They had however a local magnetic source which threw a field
of competitive strength to the earth's. Patented? The line here is that sensor variety and fusion with local processing will solve everything. I don't drink this Koolaid. The weakness in position is not due to too little analysis but to the fundamental lack of information. Double integration of a noisy inacurate unstable signal produces real garbage. Trying to clean this up in itself is
polishing a turd. Us successful turd polishers stabilize it first with a little sanding sealer. Successful use of mems devices for motion capture has been in the context of accurate radio ranging.

Please excuse the turd reference, it is inappropriate in a civilized forum. I am sorry.

Hi all,

is there already a solution for sensor data fusion?

Is it possible to integrate the sensor data to get the movement of the sensor? This would facilitate a bunch of applications with the sensors.

I do not really understand what is mean when you say sensor fusion of acceleration, compass and gyroscope resulting in a quaternion matrix. How would a pure linear acceleration change the quaternion if the angels are not changed?

Best regards,
Manuel