I did a quick forum search but didn't find mention of the navigation site what3words | Addressing the world in my results. I'm not sure how well known it is yet, so I suppose there's a small chance I'm the first to propose that Tesla incorporate what3words in the navigation system... but I doubt it.
For those who aren't aware and haven't checked the link, W3W is an algorithm that grids the planet into 3 metre squares, each addressed by a three word sequence... "electric.cars.rule" for example (actually resolves to a 100 square foot block in Eastern Russia). This is obviously superior to lat/long and Northing/Easting for memorization and general human-friendliness.
It would be nice if the Tesla Nav system could integrate this! Imagine being able to say 'navigate to electric dot cars dot rule' and have it resolve the exact location... This would certainly have the potential to improve geolocating superchargers and destination chargers too. Anyone who's circled the block in Las Vegas looking for the supercharger site hidden in the shadows of the building know exactly what I'm talking about... Extend that to finding someone in a big mall parking lot... you'd resolve down to half a parking stall, instead of the address of the mall and several acres of asphalt.
Given that the algorithm fits in 12 MB of space, it seems like it would be easy enough to incorporate...
For those who aren't aware and haven't checked the link, W3W is an algorithm that grids the planet into 3 metre squares, each addressed by a three word sequence... "electric.cars.rule" for example (actually resolves to a 100 square foot block in Eastern Russia). This is obviously superior to lat/long and Northing/Easting for memorization and general human-friendliness.
It would be nice if the Tesla Nav system could integrate this! Imagine being able to say 'navigate to electric dot cars dot rule' and have it resolve the exact location... This would certainly have the potential to improve geolocating superchargers and destination chargers too. Anyone who's circled the block in Las Vegas looking for the supercharger site hidden in the shadows of the building know exactly what I'm talking about... Extend that to finding someone in a big mall parking lot... you'd resolve down to half a parking stall, instead of the address of the mall and several acres of asphalt.
Given that the algorithm fits in 12 MB of space, it seems like it would be easy enough to incorporate...