There's been a lot of discussion about the effect of map data on FSD, how FSD handles inaccuracies, etc. The question of where Tesla gets its map data and how to correct inaccuracies also frequently comes up. Recently, Elon tweeted "10.13 smooths out intersection control, especially long lefts, and starts to handle roads with no map data at all."
Here's my question - Tesla has a fleet of several million vehicles with GPS sensors, all constantly scanning the road with cameras and sending data back to the Tesla Borg. Why do they need map data at all? They theoretically should be able to have the best map data in the country, and it doesn't seem like it should be a big deal for the system to flag an area where the map data differs from the camera or GPS data. For example, there's an area I drive that the map has the speed limit listed as 35 even though it's 55. If the car's driving along and sees a 55MPH speed limit sign and the map data says 35 it could trigger an alert to be reviewed and corrected. They could also easily partner with TomTom or another country to sell them data.
Am I missing something or is it just something Tesla hasn't focused on before?
Here's my question - Tesla has a fleet of several million vehicles with GPS sensors, all constantly scanning the road with cameras and sending data back to the Tesla Borg. Why do they need map data at all? They theoretically should be able to have the best map data in the country, and it doesn't seem like it should be a big deal for the system to flag an area where the map data differs from the camera or GPS data. For example, there's an area I drive that the map has the speed limit listed as 35 even though it's 55. If the car's driving along and sees a 55MPH speed limit sign and the map data says 35 it could trigger an alert to be reviewed and corrected. They could also easily partner with TomTom or another country to sell them data.
Am I missing something or is it just something Tesla hasn't focused on before?