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Google Cars Drive Themselves, In Traffic
An anonymous reader noted that "At the TED 2011 conference this week, Google has been giving extremely rare demos of its self-driving cars. TED attendees have even been allowed to travel inside them, on a closed course. The car is a project of Google, which has been working in secret but in plain view on vehicles that can drive themselves, using artificial-intelligence software that can sense anything near the car and mimic the decisions made by a human driver."
Classic fear mongering. The car always had a driver in it (with override capabilities) while on public roads.
TFA even mentions one of these avoiding a deer: "You could see the cars avoiding things like a deer that dashed in front of one or another making it carefully around a small hillside road, as a large truck came toward it."
There was also a story here a year ago about Stanford's efforts in this area with a computer-controlled car doing a 180 spin into a tight parking space. "That means Junior could have an entire language of extreme driving maneuvers it could unleash when called upon ... itâ(TM)s also a sign that the cars of the future will be able to respond to any adverse condition with remarkable driving talent."
Put them together and we're well on our way to computerized control that's safer than the average driver.
This is just funded by Google. It's the group at Stanford which did the DARPA Urban Challenge that's doing the work. It's essentially the same technology. They're getting very good at this.
The thing on top of the car is a rotating cone of LIDAR scanners. The original version of that was developed by Team DAD for the 2005 DARPA Grand Challenge. The prototype, which was a much bigger wheel of scanners, fell off the vehicle. But they then built a more compact production version, the Velodyne scanner, with 64 lasers. It costs about $100K per unit, but automatic driving became much better once that came out. Most of the teams in the DARPA Urban Challenge used that.
Personally, I think the rotating machinery approach is too expensive for production, and that the Advanced Scientific Concepts flash LIDAR has more promise as a production product. The ASC system requires some exotic custom imaging ICs, with a time-of-flight timer behind each pixel. That's the kind of thing that's incredibly expensive when you make 10 of them, and cheap when you make 10 million.