The system gets a basic sense of the vehicle’s using GPS, and uses that for both the final destination and a “local” objective within view of the . The machine then uses its onboard sensors to generate a path to those local points, using LiDAR to estimate the edges of the road (which tends to be much flatter than the surrounding landscape). Generic, parameter-based models give the a sense of what to do at intersections or specific .

MapLite still isn’t to handle everything. It doesn’t know how to cope with mountain roads and other sharp changes in elevation, for instance. However, the ultimate goal is clear: CSAIL wants autonomous cars that can safely any road without hand-holding. While 3D maps may still be useful for dealing with the complexity of cities, this could be vital for rural trips, snowy landscapes and other situations where the car needs to improvise.

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