DARPA Grand Challenge 3
Meostro writes "DARPA announced the 3rd "Grand Challenge" today, The DARPA Urban Challenge. "To
succeed, vehicles must autonomously obey traffic laws while merging into moving traffic,
navigating traffic circles, negotiating busy intersections and avoiding obstacles." This year's new twist is two tracks for entry: the first is the same as the previous two challenges (develop on your own without Gov't. funding), but the second involves "submitting a detailed proposal for up to $1 million of technology development funds." Here is the PDF press release ."
Yes, they do research in defense but shouldn't there be a little more than a tiny graphic or blurb about what work they're doing? Couldn't they at least take the time to write an abstract or 1-2 page paper with unclassified information on each project?
Instead, I find the following links in the 'Archives':
- Quantum Computing
- Infrared Focal Plane Array/Uncooled Integrated Sensors
- Advanced Lithography
- Most of the Other Links
My alma mater has produced better papers than this in these fields. I know that a lot of this stuff isn't classified and they list their programs on their sites, why can't they do a better job in showing the American public what they've done with our money?The Grand Challenge Forums are flooded with only vendors. Where are the designs and reports by the teams from older Grand Challenges? Why isn't this structured more like RoboCup where the learning algorithms are released every year so that future contestants can build on this?
The fact that this contest isn't run in a more open way makes it seems like less of a "contest" and more of a "do our research for us!" kind of thing.
My work here is dung.
...how this can be "safe" (as far as it can be anyway) with cars which are automated going on roads for which the system works (I'm assuming most are based on the idea of staying within the white lines) I worry about this quote...
We believe the robotics community is ready to tackle vehicle operation inside city limits. - Dr. Tony Tether, DARPA Director
You can build the safest car in the world but there is always a need to be able to take a very quick decision to avoid some other idiot who might be breaking the rules of the road and not be in an automated car... still, if we all had them...
*''I can't believe it's not a hyperlink.''
"City hall" in German is "Rathaus" Kinda explains a few things......
Its too early to go urban. They should have spent at least another 2-3 years perfecting autonomous navigation in unstructured environments.
I know last year's challange seemed to be won rediculously easily, but I have seen no proof that that dormain has been fully conquered yet. If they wanted a challenge why not move onto wooded or swampy areas.
In this case it seems they are juat setting themselves up to fail.
Surur
Information is the location of things. Computation is moving things around.
Let's make this real, vehicles must be equipped to : Avoid hub-cap thieves. Deal with homeless window-washers. Handle crazy taxi-cab drivers. Deal with traffic detours and malfunctioning signals. Understand parking, loading, no stopping and no standing zones. Not run over pedestrians who jaywalk. Avoid accident scences/traffic congestion by planning on-the-fly alternate routes. Be able to pay Tolls. Stop, Look, Listen at Railroad crossings. Be able to do this in even in Snow conditions. Properly prepared, an urban course will be MORE challenging than the Desert course. Sure terrian won't be such an issue but the environment is much more dynamic, and the weather is still a factor.
I'm not going to speculate as to whether the robotics community is "ready" for this challenge, but what do the two challenges have to do with each other from a technical standpoint? In the previous challenges, vision wasn't good enough to tell a boulder from a bush. Are they going to give the robots the GPS location of all the stop signs and traffic circles? If they do, how well would this apply to a city where not all GPS locations are known? If not, how will it differentiate signs from one another and from random stuff in the background?
I'll be impressed with no crashing into each other, before they worry about compliance with all traffic laws. How will the robots recognize the speed limit in their area, or will they all crawl along at 10 mph, impeding the flow of traffic?
I used to carry a bottle of whiskey for snake bite. And two snakes. -Nefarious Wheel
"It is likely that DARPA has become incapable of inovation because of internal politics so they need to attract new ideas from the out side."
Um, Darpa is a think tank. They don't do actual research. It's been that way since the beginning.
I wonder if you get extra points for having your car honk its horn at
other drivers and extend it's little robotic middle finger at anyone that
gets in its way?
Bagdad. Unmanned Military Ground Vehicles. Primarily for supply runs, but could also be used to troll for IEDs.
Best Slashdot Co
Why is it that every time I hear a story about efforts to improve vehicles, I say to myself, "Gee, hasn't that been done already?" All these efforts seem to have one thing in mind: get a car to act like a train, that way we can continue subsidising the auto/oil/rubber industries with the needless purchase of more individual rail cars.
How about a challenge to develop real public transit in the U.S.?
Sorry, I live in L.A. and I'm bitter.
You can build the safest car in the world but there is always a need to be able to take a very quick decision to avoid some other idiot who might be breaking the rules of the road and not be in an automated car... still, if we all had them...
This is the Grand Challenge I was really waiting for. I believe that the experience gained in the previous Grand Challenges is practically useless for this new one. This new challenge will involve true AI, that is, AI that has true general learning capabilities and the ability to adapt to new situations. A true autonomous vehicle will need to have common sense understanding and the only way it can have this is by learning through trial and error, imitation/observation, the capability of being trained via communication (with a trainer) and the well known principles of operant and classical conditioning. In addition the AI will need robust and sophisticated perceptual (visual and auditory) system in addition to sound motor control/learning mechanism. This AI will forcibly be based on some sort of neural network or a integrated collection of neurla networks.
What Darpa is asking for is none other than the solution of the AI puzzle. I'm afraid this is worth much more than a few million dollars.