How can machine learning improve dead reckoning functionality? Do you have working code examples, test results of dead reckoning with machine learning?

[Evelina CAMILLERI]

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[Luca SEGHIZZI]

MLC can contribute in helping external algorithms by recognizing some specific classes like stationary, motion, steering, whether there is an inclination, etc… The dead reckoning algorithm can benefit of this information (obtained in a very low power consumption) and its parameters accordingly. We currently do not have specific MLC examples ready for dead reckoning.