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The conclusion about map generation is a bit naive. Yes, if google's self-driving car requires them, and google can't currently produce them at scale, then maybe google's current solution isn't going to explode onto the marketplace. But could the current solution be used in certain cities? (start with San Francisco, then expand city by city as the demand exists) Sure. Could google come up with a different solution? Sure. There are other companies working on self-driving cars - BMW, Audi, Tesla, others. The darpa grand challenges in 2005 and 2007 didn't rely on this kind of detailed map data. Will self-driving cars ever be able to handle all possible driving situations? Probably not. But humans can't handle all driving situations either. A more relevant question is whether self-driving cars will be better than human drivers. It's silly to say that we need strong AI for that, since we've already seen several prototype systems that do better than humans in many situations without strong AI. The other thing that this conclusion ignores is what the changes to the road system might be. If everyone gets semi-autonomous cars for commuting, and they work fine except for one intersection where people need to pay attention and negotiate it themselves, then there will be pressure to change the intersection. Maybe besides the carpool lane, you might eventually get autonomous lanes. It's a bit chicken-and-egg, but if there is a system that is useful enough in some situations for people to buy, then it will progress from there. |
Also economies of scale take over. If 100 robot cars an hour drive down a road, the details of it can and should be mapped in real time and shared among the robots.