there was a startup that pitched the idea of using Satellite data to do ground based navigation. (https://sturfee.com/vps) they didn't get bought out by either google, niantic or facebook, so it can't of worked that well.
Niantic's stuff is a pre-built map that the client will reference to get a position. Its essentially a massive feature matching exercise. The problem with using airborn photos is that you miss a bunch of features you can't see. (samy thing trying to match ground features from the air.)
THe lens calibration issue isn't actually that much of a problem _for the client_. if you have a rough idea of the lens (exif data really helps there) then you can still get meter accurate (and a few degrees heading) its a bit more of a problem for generating the initial map, but Structure from motion with good motion priors goes a long way to make it less of a problem
Now, Niantic are proposing that you can train a model that can relocalize generally without a detailed map, I think thats a bit far fetch, especially to do at any large scale. (ie bigger than a cubic kilometer)