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DARPA Grand Challenge Teams Submit Videos to DARPA
doughnuthole writes "The deadline for DARPA Grand Challenge teams to submit their videos to DARPA just passed and some have posted them online. Some of the teams with these videos posted are Team Caltech, Axion Racing, Virginia Tech (on the Media page), Insight Racing, and UMass Dartmouth. The Grand Challenge is a 175 mile race run by fully autonomous vehicles. Since no teams completed the 2004 race, DARPA decided to run it again, this time for $2 million."
but where I live it seems most of the cars on the road are self driven. The person behind the wheel is usually taking care of more pressing things like chatting on the phone, eating, putting on makeup, etc.
Last year teams had such a short period of time, it was difficult to write all the necessary software and spend the time necessary to test and refine. Now many teams have learned a lot from the previous race and have much more time to improve. Several are now able to drive fully-autonomously at speeds of up to 20 mps while still avoiding obsticles and following a path. The maximum speeds will continue to increase and bugs will continue to be routed out as teams gear up for the race.
Most teams are not in it for the money, but for the sake of science and engineering. Some teams will spend close to that amount before all is said and done.
One of our biggest problems in Silicon Valley has been finding a big open space in which to test. We now have access to a huge parking lot built during the dot-com boom, adjacent to an unfinished building complex. So we have the Overbot winding in and out among the parking islands. We'll be testing there today in a few hours.
In terms of technology, Team DAD probably is most innnovative. Everything runs on digital signal processors. They're building their own laser rangefinder this year. Last year, they got further than anybody else without wrecking. (CMU crashed three times; their HUMMV was able to survive the first two.)
Nobody seems to have a breakthrough in sensing. (By this I mean sensing good enough to evaluate terrain. Detecting big, solid obstacles is trivial.) LIDAR line scanners are too limited, stereo vision doesn't register well on dirt, and strong intelligent vision processing requires a breakthrough that twenty years of research has failed to produce. The breakthrough needed is flash LIDAR, which exists, but wasn't ready soon enough for this year's Grand Challenge. (The rules prohibit the use of Government-funded patented technology not available for general sale by last August, and the good flash LIDAR wasn't available in time.) CMU has a LIDAR line scanner on a giant gimbal, and we have a LIDAR line scanner on an overly large tilt head, but that's an interim solution and a technical dead end.
On the other hand, GPS and inertial gear gets better and cheaper every year. It's surprising how good it is.
This year, everybody who makes it to the starting line should disappear over the horizon at the start. The minimal level of performance to make it through the "site visit" hurdle is above that demonstrated by most of the vehicles entered last year.
And this year, DARPA is putting tank traps on the course.