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Why does it matter if it's not for consumer applications? GNSS is used for many more applications (and arguably more critical) than consumer applications (agriculture, mapping & surveying, aeronautics, shipping, etc.)

Also just want to mention that, yes, integration errors accumulate when using intero-receptive sensors but if errors are small enough (white noise, various biases, sample rates, quantization, etc.) from the inertial sensors an odometry solution might be adequate until an extero-receptive sensor can localize the sensor within an external frame.

This can shift the discussion from solving a problem that has no solution (i.e. how do I integrate a signal with white noise without any error) to an engineering problem (i.e. what error parameters allow the odometry to be accurate within x% over some timeframe).

There was interesting work DARPA was sponsoring around the above idea that you can read more about here: https://www.darpa.mil/program/micro-technology-for-positioni...

>The end goals of the TIMU program are the demonstration of a single-chip IMU which maintains an accumulated position error of less than 1 nmi/hour with device volume of less than 10 mm3 and power consumption of less than 200 mW.

(My job is related to estimating location of things).



nmi - Nautical mile (1 nmi/hour mentioned above)

Today the international nautical mile is defined as 1,852 metres (about 6,076 ft; 1.151 mi).

https://en.wikipedia.org/wiki/Nautical_mile




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