MIT and Qatar Computing Research Institute researchers developed a navigation system which uses satellite imagery to tag road features, like lane counts, in digital maps. The system uses a combination of neural network architectures to automatically predict features. In its tests across 20 US cities, the system counted lane numbers with 77% accuracy and inferred road types with 93% accuracy.