Keeping maps updated in over 200 countries is hard—so the team had to pivot from just making maps to something more meta. “We needed to start making the machine that makes the map,” Lookingbill explains.
The way this is happening is through machine learning algorithms that are good enough to take imagery—like the pictures produced by those street view cars, or from satellites—extract the information they need from them, and then update the map. That information is likely data such as the name of a road, a house number, or the shape of a building seen from above. Google has boasted about this topic before: a 2017 blog post describes their efforts creating an algorithm that can read street names in France and mentions that algorithms like that could update addresses on the map.
another version of self-healing from Here HD for autonomous cars
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