Have you ever left the subway late for a meeting with no clue as to which path you should have gone? Of course, Maps will tell you how to get to the appointment, but only if you know where you are and what direction you are facing. Sometimes he "thinks" of knowing them, even if the data being fed is inaccurate. You will find yourself for some extemporaneous curiosity open: try to understand which path to follow by checking if the blue point moves in the same direction in which it is supposed. If it is not, it probably means your compass is not calibrated, so you can start frantically shaking your 8-shaped phone to see if it will eventually point you in the right direction. Then walk a few meters and the point "flows" 2 blocks away … Oh, right! You are in a crowded city and GPS accuracy is reduced due to all these skyscrapers. Do not worry though; you will find a road sign and a reference point to manually locate your position on the map and it will arrive 1

5 minutes late.

Google is aware that we are tired of wasting time and tampering with this, so it came out with a solution called Global Navigation to combine camera, GPS and compass data to more accurately determine your position.

This technology is based on the Visual Positioning System method, which creates maps by combining images of landmarks with their position so that contours and features can be used for navigation. Thanks to its Street View images, Google has created a detailed VPS index so that devices can accurately identify their location and orientation based on their surroundings. They will also use machine learning so that the phones know which landmarks to look for, since the initial images may have been taken during a different season or from another angle.

Google is still working to improve this technology before making it widely available. He has already started testing it with selected Local Guides, along with AR-based navigation, but it will probably take some time to improve it before integrating it into his official Maps app.