Naturally you'd prioritise things like all the exits from major metro stations in tier-1 cities. Further down the curve, if it's viable to maintain a map of every public vehicular road in the USA then it would surely be similarly viable to map all the major public streets and squares in the centres of the world's tier-1 cities; likewise the major public interior spaces in their public-transport buildings. So that's your MVP; then obviously you'd go as far further down the long tail as technology and business make viable (and regulation permits).
Basically it's just a combination of the SLAM tracking being successfully used already in VR and AR headsets like Windows "MR" and Oculus' Santa Cruz with the usual data-consolidating ways of Larry's Basilisk. I have a suspicion this may be the intended final purpose of all the nice Project Tango research.
Obviously you could also use the database for things like photo location-tagging. Similarly, smartphone car navigation apps would want to be able to be able to use the data being collected for self-driving cars, too. You could also imagine self-driving street-sweepers taking advantage of the pedestrian-area data (or indeed helping to harvest it).
Basically it's just a combination of the SLAM tracking being successfully used already in VR and AR headsets like Windows "MR" and Oculus' Santa Cruz with the usual data-consolidating ways of Larry's Basilisk. I have a suspicion this may be the intended final purpose of all the nice Project Tango research.
Obviously you could also use the database for things like photo location-tagging. Similarly, smartphone car navigation apps would want to be able to be able to use the data being collected for self-driving cars, too. You could also imagine self-driving street-sweepers taking advantage of the pedestrian-area data (or indeed helping to harvest it).