Dr Saxe

additional inputs and the resulting necessary increase in computational capabilities will further stretch power budgets.

+

Computational complexity of a Kalman filter increases proportionally with n3, where n is the number of model parameters.

12 cubed is 1728

10 cubed 1000

72% more computational complexity.

12 axis will run 99% on the FFE

It will have to run 100 % on the FPU of an M4. for ALL the MCU crowd.

In the ecosystems QUIK WILL WANT them to fuse all 12 axis, others will say why not just use 9.

Nice, QUIK Nice.

In the presentation the example of the complex senor fusion algos are...slide 17

 Pedestrian Dead Reckoning
 Indoor Navigation
 Location Based Services


Expect we will shine is such applications. :-)
Also know that we have been at work of some of these for a good while. :-)

We will have ecosystem partners and they could be some names we know well.