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Self-driving cars are entirely reliant upon mapping data for all sorts of functionality. For example, how is it supposed to differentiate between curved roads
by indolering 10y ago
Self-driving cars are entirely reliant upon mapping data for all sorts of functionality. For example, how is it supposed to differentiate between curved roads and on/off ramps? Decent navigational maps require huge amounts of manual intervention, which is why Apple's mapping software initially sucked. The maps for self-driving cars will require an order-of-magnitude more data.
- lnanek2 10y agoYes, but Apple and Google, they only have what their company cars bring in for road data. Tesla makes it clear every customer is also acquiring data for all their cars to make better decisions: > Curve speed adaptation now uses fleet-learned roadway curvature So they have an advantage over Google and Apple in that they have mass market cars full of sensors being driven for them for free.
- kccqzy 10y agoApple and Google have billions of smartphones collecting location data. Not all of the data are currently sent back, but they can certainly do it with just a software update. For example on my iPhone under location services it already lists "routing & traffic" as one of the system services using location. It's easy enough to extend it to mapping too.
- viraptor 10y agoUnfortunately that's only location data. What cars with more sensors can send is closer to: this location has N lanes, turning radius is M, the slope is X, I'm travelling at Y mph, I see connected road at location Z, I see the following signs... What your phone can send is only "I'm more or less at X, I'm moving fast so we may be in a car. But I may as well be in a glider. Who knows..."
- indolering 10y agoI guess so... Google's mapping cars have expensive sensors that won't make it into production cars. And if they partner with a single auto manufacturer or buy up Lyft, they will have just as much data as Tesla has.