> Kalman filters are useful in data processing and interpretation
vaguely - plenty of other imputation approaches that are simpler/better/more accessible.
> F applications in drone control, dead reckoning positions when undergound or with flakey GPS
these are not things 99% of devs encounter. literally
> dead reckoning positions when undergound or with flakey GPS
is the domain of probably like 100-1000 people in the entire world - i know because i actually have brushed up against it and am aware painfully aware of the lack of resources.
i really do think it's just a programmer l33t meme not unlike monads, category theory, etc - something that most devs think will elevate them to godhood if they can get their heads around it (when in fact it's pretty useless in practice and just taught in school as a prereq for actually useful things).
The assertion was not that these examples are common rather that currently they are more common to generic app developers than manipulating PDE's
As K-filters in data processing and interpretation, that depends thoroughly on the data domains, a good number have biases and co-signals that are more easily removed with an adaptive model of some form.
Eg: magnetic heading effect when recording nine axis nano-tesla range ground signals. The readings returned over a specific point at a specific time of day are a function of sensor speed and heading. Repeated flying over the same point (hypothetically at the same time) from North to South Vs East to West returns different data streams on each of the nine channels.
To get a "true ground reading" both the heading bias and the diurnal flux must be estimated and subtracted.
> plenty of other imputation approaches that are simpler/better/more accessible.
vaguely - plenty of other imputation approaches that are simpler/better/more accessible.
> F applications in drone control, dead reckoning positions when undergound or with flakey GPS
these are not things 99% of devs encounter. literally
> dead reckoning positions when undergound or with flakey GPS
is the domain of probably like 100-1000 people in the entire world - i know because i actually have brushed up against it and am aware painfully aware of the lack of resources.
i really do think it's just a programmer l33t meme not unlike monads, category theory, etc - something that most devs think will elevate them to godhood if they can get their heads around it (when in fact it's pretty useless in practice and just taught in school as a prereq for actually useful things).