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Google Maps updates itself using AI | Tech for Product Managers
3 key Concepts
The world keeps on changing at a very rapid pace.
And Google Maps has to represent this ever changing world in a very easy and intuitive way.
Have you ever wondered how Google Maps keeps evolving as the world changes?
In this article, we will learn about the following things
- How Google Maps maps the Entire World, the role of Machine Learning in mapping?
- How AI and Images help Google Maps in self-updating
- How AI helps predict traffic and Routes
How Google Maps maps the Entire World?
There are several ways in which Google Maps takes the input data and maps the world.
The various contributors are — Satellite Images, Street View and Human uploaded Data ( this includes both the Data Operation team and the contributions by the different people )
Satellite Images
Satellite Images give a very good picture of the Roads, Buildings and different regions. This may not be very clear, but it gives a very good sense of how the landscape looks.
Street Images
Another one is the Street View and the Images — these are contributed by the different sources as in Data operation team, the Car mounted with the camera, Bag backpack trackers who mount the camera with them to show you the heights. In the case of the dessert area, the cameras are mounted on the Camels. These Images help a lot in mapping the entire Google Maps. Google Maps has created 170 billion Images till now
Contribution by People
Finally, there is the contribution which we make while using Google Maps. Google Maps receives around 20 million contributions each day from people using Google Maps.
Machine Learning helps Google Maps a lot in mapping the entire world.
