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Google Using Self-Driving Car Data To Make Cars Smarter
cartechboy (2660665) writes "One thing Google has perfected is using massive data sets generated from users to improve user experience. Google's self-driving cars may be subject to the same cycle of improvement, as they have racked up considerable mileage on public roads, and each mile generates data that Google engineers can use to 'teach' vehicle. Meet Pricilla — a Google test driver on the self-driving car project as she does a video walk through of some of the improvements created so far. Some are fairly simplistic, for example: 'The car does move to avoid large obstacles." That said, the car can also detect a bicyclist signaling and stay clear — oddly, even when that cyclist changes his mind and zig zags a little." Google is now testing cars on the city streets of Mountain View.
A snow storm is the big one. Also, rain and dust can be a big problem as well. The thing is, when you R&D these systems in sunny California, silly things like "precipitation" seem to get forgotten. I remember seeing a presentation about the Google street view cars, and how when they deployed them to other regions, they had to institute lens cleaning procedures because they had pretty much forgotten it rains in other places in the world.