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DARPA Grand Challenge 2005

fishdan wrote to mention that the Darpa Grand Challenge is getting underway again. The qualifying rounds started yesterday. National media has picked up on the story, with pieces at the Washington Post and Seattle Times. From the Post: "The autonomous robotic vehicles began competing Wednesday in the first of a series of qualifying rounds at the California Speedway. Half will advance to the Oct. 8 starting line of the so-called Grand Challenge. The grueling, weeklong semifinals are designed to test the vehicles' ability to cover a roughly 2-mile stretch of the track without a human driver or remote control. Participants ranging from souped-up SUVs to military behemoths will be graded on how well they can self-drive on rough road, make sharp turns and avoid obstacles _ hay bales, trash cans, wrecked cars _ while relying on GPS navigation and sensors, radar, lasers and cameras that feed information to computers."

38 of 164 comments (clear)

  1. If there's one thing worse by HugePedlar · · Score: 5, Funny

    than a soccer mom driving her only child in an SUV it's an SUV driving no one.

    --
    Argh.
    1. Re:If there's one thing worse by AnObfuscator · · Score: 2, Insightful
      than a soccer mom driving her only child in an SUV it's an SUV driving no one.

      *eyeroll* Oh, dear goodness, that is one of the most rediculous +4 insightful posts I've ever read.

      Right, because using an SUV chassis for a project that advances our knowledge and technological capabilities in the Computer Science fields of robotoics and AI is such a major problem in the US. Scientific research... bah! It's a perfect example of conspicuous consumerism! After all, using an SUV for it's original design specification -- offroad travel -- to advance the knowledge of the human race is definitely the cause of our dependance on fossil fuels.

      After all, our oil usage has NOTHING to do with aircraft, ships, pleasure craft, air conditioning our houses, heating our pools, running our 1000w gaming rigs, or the creation of the countless disposable plastic objects you use each day. No, simply getting rid of SUVs, especially SUVs used in scientific research, will unilaterally free us from fossil fuel dependence!

      ( end sarcastic rant)

      seriously, DARPA is stimulating AI & robotics research into a pragmatic problem. I can't even begin to fathom your rejection of this, MERELY because they used the most pragmatic tool -- an offroad vehicle -- for the problem -- offroad travel.

      --
      multifariam.net -- yet another nerd blog
    2. Re:If there's one thing worse by HugePedlar · · Score: 3, Funny

      Actually I was aiming for +4 Funny. I'm as surprised as you that it's modded insightful. Personally I think it's refreshingly great that these vehicles are being used for what they're supposed to.

      --
      Argh.
  2. No Driver Required... by JakiChan · · Score: 5, Informative

    I had a chance to see the Volkswagen / Stanford entry while getting my VW serviced. That cart is pretty cool. There's a rack and a half worth of gear in the back and the shift knob has been modified to allow a robot arm to be attached. The engine is a 5 cylinder TDI and the VIN says it's a factory prototype. I heard that when the challenge is over the car will have to be destroyed since it certainly isn't US legal. And in a parody of the "Drivers Wanted" slogan it says "No Driver Required" on the side. :-) Seeing it in person certainly made waiting for my oil change fun.

    On a side note...I wish they'd let more diesel cars in the country. The chase car is another Touraeg but this one is a Canadian V10 TDI. It has something like 500 lb-ft of torque but gets about the same highway mileage as my small VW does.

    --
    "Where quality is like a dead stinking rat - you just can't miss it."
    1. Re:No Driver Required... by op12 · · Score: 2, Informative

      Here's a picture of the modified VW Touareg.

    2. Re:No Driver Required... by itistoday · · Score: 5, Informative

      I just got off the phone with a team that's there. Apparently Stanford did the best in the semifinals so far, making it through the obstacle course without hitting a single cone and cruising at a comfortable 40 mph. Carnage Mellon, a favorite last year, actually did surprisingly bad and ended up hitting a lot of cones. The University of Florida also had a good run, only nicking a cone or two. It seems like it's gonna be a worthwhile race this year. And trust me, it is really difficult to make one of these machines.

    3. Re:No Driver Required... by lowrydr310 · · Score: 3, Interesting
      BMW has a production version of a fully automatic manual transmission. It can be found in the M3 and it's called the SMG (semi-manual gearbox?). You can let the computer control all shifting or you can do it manually with paddles on the steering wheel. I drove a SMG equipped M3 and it's a strange experience. In the fully auto mode, it feels like you're driving a manual transmission but someone else is shifting for you. The shifts are a bit jerky - nowhere near as smooth as your typical automatic transmission. Ferrari and Lamborghini have this available as well, and I'm sure there are a few others.

      Modern automatic transmission are very good. I have a 2003 Accord and it's the best automatic I've ever driven. Shifting is very smooth, and downshifting occurs when it is supposed to. It uses what Honda calls "Grade Logic Technology" which basically detecs when you're going uphill or downhill to determine whether to downshift or upshift much sooner than older automatic transmissions. It's also a 5 speed automatic which helps a lot. I believe Mercedes has a 7 speed automatic in their newer cars though I haven't driven them.

  3. Good luck contestants by lightyear4 · · Score: 4, Informative



    This will be a MUCH more interesting contest if the teams do better than the last time around. (the best team only got 7 miles out of 175 total.) Granted, even that is impressive given the circumstances.

    I wish the best of luck to all of those competing.

    1. Re:Good luck contestants by SpyPlane · · Score: 2, Interesting

      I'm sure there will be more than a few teams that do better than the 7 miles last year. I'm on one of the teams and we have done many miles fully autonomous in the Anza Borrego Desert (very similar to the conditions at the DGC). The NQE is going well, on the first day many teams passed on their opportunity for their first run becaues they weren't ready. Of the teams that did do their run, about half made it and half didn't. There were a couple of highlights, one of the favorite team's vehicle flattened a whole section of haybales, and at least one team participated in a full-on car accident with one of the parked car obstacles. A couple of teams did the course perfectly at slow speed.

      I recommend that if any of you follow the race to pay particular attention to those teams who aren't getting in the papers. I'm most impressed by the teams who aren't university based. Most of them have little sponsorship and are just working guys spending their *own* cash on their vehicle. I purposely didn't name names of any teams because so many posts about the DGC have become spamvertisements here on Slashdot. *cough* CMU *cough* Oops.

      --
      "We need a fourth law of Robotics: Stop Fingering My Wife"
  4. Finally... by evil+agent · · Score: 5, Insightful
    ...we're putting the "auto" into automobile.

    I for one am very happy to see this technology advancing. It's not gonna take much intelligence to make an autonomous driver better than most human drivers.

    --
    End transmission.
  5. Only in America could it say *from* SUV :-) by fantomas · · Score: 4, Funny

    Only in the USA could it say FROM souped-up SUVs :-)

    Here in the UK it would probably be FROM a bunch of lego bricks and a clockwork motor UP TO a Sinclair C5 (or possibly an Austin Mini with an Aibo gaffa-taped in)...

    1. Re:Only in America could it say *from* SUV :-) by millahtime · · Score: 3, Insightful

      The challenge takes place in off road conditions. Existing vehicles like SUVs can handle the conditions where legos most likely can't. They didn't pic SUVs to pick SUVs. They picked them because they are vehivles that can handle the terrain

  6. This is very cool by zappepcs · · Score: 4, Insightful

    The software and use of sensors, as well as the sensors themselves are being driven to places that they probably wouldn't have gone if not for this contest. Sure, the 2 million dollars is a big-ish prize, but bragging rights are bigger.

    I've seen some hobby roboticists building smaller robots for a scaled down version of this that are just amazing. Even on smaller scales, this is pushing technology. The good part? Much of the hobby stuff is pretty much shared in an OSS kind of way. That means that the technology behind all this will not belong entireley to the military, and will soon find its way into our vehicles and homes.... THAT is very cool!

    1. Re:This is very cool by Tattva · · Score: 2, Interesting
      Yeah, Anthony Levandowski and the GhostRider Robot team from UC Berkley entered the motorcycle. Anthony won Test and Measurement World's Engineer of the Year 2004 award.

      You can see interviews and a video here. The team's website is here.

      --
      personal attacks hurt, especially when deserved
  7. The amazing failures of AI? by Elrac · · Score: 5, Interesting

    I read the reports once in a while: The winners, or close-to-finishers, are huge SUVs filled with computers and special-purpose sensory equipment. What this tells me is that today's computer technology still has trouble, in many cubic feet of space, and with practically unlimited electrical power, to find realtime solutions for a problem that even severely IQ handicapped humans handle routinely while balancing a McMeal on their knees and keeping up a cell phone conversation. I would wager that, with a fair amount of training and suitable controls, even a dog could handle the task. So...

    Did AI research implode for lack of funding, or is it really that hard? Will we need Cray-like computing power to handle the sensory input quickly enough to work a steering wheel, brake and gas pedal? Or has this problem simply never been tackled by sufficiently big money? And, given the obvious military implications and a $400 Billion military budget alone, why not?

    All these questions are quite serious, and I'd be interested in hearing answers.

    --
    When one person suffers from a delusion, it is called insanity. When many people suffer from a delusion it is called Rel
    1. Re:The amazing failures of AI? by zappepcs · · Score: 5, Informative

      YES, this task is THAT hard. If the military could simply throw money at the problem and get the solution, there would be no DARPA Grand Challenge competition at all.

      The simple fact is that while we use senses in our bodies to do things, the similar versions for robots and autonomous vehicles are crude, expensive, and no-one is quite sure how to make them work the way we think they should. Computer vision is becoming a big thing, and despite the millions of people working with it or on it around the globe, there is still no standard way to immitate what the human does with one eye, let alone two. Humans have that inner-ear thing, and this tells us many things: if we are vertical, falling, rising, moving forward or sideways... Our eyes do way more than a movie camera does. People are only now beginning to understand how many ways that we analyze the visual data presented to us through our eyes.

      The problems of autonomous ground vehicles are greater than that of planes because there is so much to run into, get stuck on, fall off of etc. Just writing some code to keep a toy robot from getting stuck under the kitchen table is a huge task without boatloads of sensory data and processing power.

      The tasks the DARPA GC vehicles are trying to accomplish ARE that difficult.

      There are two groups you can try if you are interested in finding out more about hobbyists that are working on these problems http://www.dprg.org/ and http://www.seattlerobotics.org/index.php . There are many others, of course, but these two are fairly active groups.

    2. Re:The amazing failures of AI? by Jeremi · · Score: 3, Insightful
      a problem that even severely IQ handicapped humans handle routinely while balancing a McMeal on their knees and keeping up a cell phone conversation


      Driving across 150 miles of roadless, obstacle-ridden desert is not something most humans do, or even attempt. Don't be so sure that "even severely IQ handicapped humans" could handle it routinely.


      Will we need Cray-like computing power to handle the sensory input quickly enough to work a steering wheel, brake and gas pedal?


      Yes, because being able to take two dimensional sensory input and use it to construct an acccurate three-dimensional representation of the local surroundings, and then plan a viable route through those surroundings, is not a trivial task. People do it pretty well (at least when on foot), but then they've had billions of years of development time put into their massively parallel computational hardware. Computers can do it too, and eventually that "Cray-like computing power" will be squeezed down into smaller boxes, but it isn't an easy problem.

      --


      I don't care if it's 90,000 hectares. That lake was not my doing.
    3. Re:The amazing failures of AI? by blackcoot · · Score: 3, Informative

      I wouldn't say that this is an amazing failure of AI so much as an amazing failure to realistically estimate the real difficulty of AI and the mess of systems integration problems that accompany robotics (I happen to work for a company that's part of a GC team and specializes in autonomous robotics). Firstly, sensors suck. We are just now barely approaching video sensors that have the same resolution as the human eye, but at 9+megapixels a piece, you have an insane amount of numbercrunching to do before you've reduced a frame into useful information. Now repeat that at 60Hz and you now have an appreciation for where a large portion of the computing power is used. Now take three such cameras for multi-baseline stereo and terrain classification and you're talking 1.6 gigapixels per second that you have to process. You also have to find machines which can sustain 3.2GB/s or 4.8GB/s transfer rates (depending on whether you use YUV 4:2:2 or RGB 8 bit per channel imagery). Now toss in a couple LADARs scanning at 100Hz, 360 x 16 bit samples per scan line, a bunch of RADARs operating at 30Hz, an IMU, two GPS units (one for the IMU, one for you to use)... you begin to see some of the problems. You need all those different sensing modalities because the fundamental truth of sensors is that they lie. You can do things to get reasonable estimates up to some confidence, but realistically what you're seeing are random values near the real values. Sensors fail, so you need back-up systems, and some way of determining which sensors failed (or rather, a way to change your beliefs about which sensors are reliable).

      In short, the classical AI part (most folks seem to use D* + reactive controls) is not where 90+% of the processing bandwidth is used, you need that power for sensing and for guaranteeing that your control loops cycle at at least some minimum frequency to guarantee safe operations.

      That said, there's a lot the gov't can do to make this problem a lot easier to solve. Standard bus designs (like FireWire) which can power most of the sensors on the bus are a really great start. Open protocols from the wire up are also important. A push towards integrating more intelligence in the sensors (embedded FPGAs which allow you to do optional processing on the raw signals coming in) can help quite a bit. Research into high-speed busses that allow you to pretend you have a shared memory multiproc will also help a lot. Finding a way to reliably and efficiently move processing algorithms into FPGAs or microcontrollers will also help to distribute the workload and reduce overall bandwidth and processing requirements. Unfortunately, there's still a lot of fundamental algorithm work to be done before you get to that point, but as certain algorithms becomes standardized this will become a lot more feasible.

    4. Re:The amazing failures of AI? by Bob3141592 · · Score: 2, Informative

      What this tells me is that today's computer technology still has trouble, in many cubic feet of space, and with practically unlimited electrical power, to find realtime solutions for a problem that even severely IQ handicapped humans handle routinely while balancing a McMeal on their knees and keeping up a cell phone conversation. I would wager that, with a fair amount of training and suitable controls, even a dog could handle the task. So...

      The AI systems are competing against 500 million years of evolutionary development. The computer systems being used are serial processors optimized for problems of a very different nature. Just trying to explicitely state the problems of what an autonomous vehicle is supposed to do in sufficient detail is daunting, let alone trying to solve those problems.

      A human spends years as an infant trying to sort out how the world works, and decades after that puzzling out the details. And despite all the experience we have with out own thinking and observing others, we still don't know what intelligence is about or how it works.

      Yes, it is a very hard problem

      --
      In theory, there's no difference between theory and practice. In practice, there is.
  8. Axion twin power activate! by Tom+Courtenay · · Score: 3, Interesting

    My money is on the team that spent all of their money on identical twin spokesmodels

    Yes I know, shamelessy stolen from Cruel.

    --
    If you could be anything you want, I'll bet you'd be disappointed.
  9. Video of MITRE entry by eludom · · Score: 4, Informative

    FYI there is a 5min introductory video clip of the the MITRE entry here:

          http://www.mitre.org/tech/meteor/

    I saw it a few months ago doing it's thing around the
    parking lot. It will be interesting to see how they
    do on a live course.

  10. Website to Track Race by robyn217 · · Score: 4, Informative
    Yeah, I just hope someone can finish the race. It looks like the best site out there to track the race is GrandChallenge.org. They have team write-ups and blogs.

    I know my money is on Austin Robot Technology. Vehicle "(Not Available)" sounds like it'll be a real winner. lol!

    -robyn

  11. This is not true AI by MOBE2001 · · Score: 4, Insightful

    Did AI research implode for lack of funding, or is it really that hard?

    None of the competitors are doing true AI. They are not using learning systems as far as I know. This is just good old fashioned programming where the designers/programmers try to think of all possibilities in advance. I don't see how this contest is advancing our understanding of intelligence. I think that the qualifying rules should have been more stringent and should have prohibited non-learning systems. Otherwise it's the same old traditional stuff.

    1. Re:This is not true AI by eclectus · · Score: 2, Insightful

      I hate getting sucked in by a troll like this, but... Please, can we quit having the argument of what is the one true AI? 30 years ago, making computers understand a man-made language of written words was True AI (TM). Now its called compiler design. Later on, True AI was making expert systems that mimicked the behaviour of experts. Now it's called rules-based systems. Lets face it, many people want to define AI to be 'that which we humans can do that computers can't", which is a ever-moving definition used by critics to denounce the AI communities discoveries as insufficient, and used by AI researchers to come up with new research projects.

      Arguing about the definition of AI is useless except as an exercise for philosophers. The definition of AI isn't nearly as interesting as the GOAL of AI: namely, to make artifacts that are useful, that perform functions that, if done by a human, would be considered intelligent. The pragmatic goal of this research is interesting, but the definition of the word 'Intelligence' and whether it applies to a man-made oject is not.

      So let's look at this practically. We can drive a car. We can't get a computer to drive a car very well. Learning how to make a computer drive a car could be insanely great (apologies to Steve Jobs). And right now, making a vehicle that can pilot itself over a known (but non-trivial) course is pretty difficult. Thus the DARPA challenge. Once this challenge has been met, and we understand that problem space, then we can move along. Until then, this challenge is not the 'same old traditional stuff'

      --
      This signature is a waste of 42 characters
    2. Re:This is not true AI by acaspis · · Score: 2, Insightful
      the qualifying rules (...) should have prohibited non-learning systems.

      On Judgement Day, you'll fell sorry you wrote that.

      Joke aside, what's the difference between a learning system and a non-learning system ? Aren't the DARPA entries already immensely more "intelligent" than factory-floor robots operating in a predictable environment ?
      Is a Bayesian algorithm a learning system ? Is it AI ?
      Does AI have to be some kind of automagic algorithm that we can't analyze with the concepts of computer science ?

    3. Re:This is not true AI by Spy+Hunter · · Score: 3, Insightful

      The goal of the Grand Challenge is to produce useful robots, not "true AI". The designers of the contest realize that's a badly-defined goal that is unlikely to be reached in the near future (after all, people have been failing for decades). Instead they require results and don't specify the methods. If "true AI" is the best way to achieve results, then the people who use it will win. If it is not, then requiring it would be counterproductive.

      --
      main(c,r){for(r=32;r;) printf(++c>31?c=!r--,"\n":c<r?" ":~c&r?" `":" #");}
    4. Re:This is not true AI by Zathrus · · Score: 5, Insightful

      By not requiring learning systems, DARPA is not encouraging progress in AI

      Since visual perception and interpretation is often considered an AI related field of research, I'd say you're wrong.

      But, more importantly, you still don't get it. The GC's goal isn't to encourage progress in AI -- it's to develop an autonomous supply vehicle. Do you have any idea how much of the military is involved purely in transport/resupply?

      The US defence department would sell its soul for a truly intelligent system and that's what we should be after.

      Funny. That contradicts a rather large number of public statements from the DoD. And privately I suspect the more sane individuals don't want it either -- we've seen more than enough SF flicks that go into the potential issues with such a thing.

      include big-city driving in the challenge

      Yes, and we should make all toddlers learn to run before walking or crawling.

      It's called incremental progress -- right now the DoD could benefit immensely from a fully autonomous transport vehicle that simply goes between depots in low traffic but highly rugged environments. After that you could look at highway driving (which is already being worked on by all the major automobile companies) and then maybe high-traffic conditions. But that last one is of relatively little use to the DoD, and DARPA is only mandated for Defense related projects.

      As it stands, all we're gonna get is clever engineering which we already know we're good at, but not good enough.

      When it comes down to it, it's all just "clever engineering" -- especially in retrospect. Most progress is made in small steps, not giant leaps.

  12. What about negative space? by Druox · · Score: 4, Insightful

    Has any of the contestents overcome the obstacle of negative space (i.e. a cliff, a sudden drop, a crater)?
    Its easier to detect something that is there like a bale of hay by radar, but what about something that isn't there (isn't an object sticking out of the ground, in y+ axis)? If not, I can see alot of Wile E. Coyote incidents with these cars flying off cliffs.
    (**poof**)

    --
    ~ slashdot.org - Where some of the world's greatest minds come together to scrutinize grammar.
    1. Re:What about negative space? by Radar+Guy · · Score: 3, Insightful

      Ok, I wasn't going to post, but this got modded up as "Insightful" and I couldn't resist - this has to be one of the dumbest posts in this thread...

      What do you think that bale of hay is sitting on? Radars recieve ground bounces all the time - even in airborne applications. Usually radar people call that "clutter", since if you're looking for airborne targets it's information you don't want - here it's information you *do* want. Depending on how the radar is mounted, it could create a ground map and trigger alarms when the ground return is either really close or really far away. It really comes down to a sensor fusion problem - by using the combination of radar, lidar, laser range finder (like another posted replied), vision, etc one could determine that there's a large obstruction in the way - either a "postive" one (like your bale of hay) or a "negative" one (like your cliff).

      The problem isn't in detecting the drop off - it's in figuring out what to do when you see it. A vehicle that comes the edge of the Grand Canyon is going to have a go a long way to drive around it. This isn't a problem with the sensor, it's a route finding problem. Heck, your sudden drop example is an easier problem - it's probably more difficult to realize you're decending gently in to a canyon that you can't get out of on the other side (again, this is a route finding problem - your route finding software has to be smart enough to avoid this obstacle in the first place, given a map of the area)

  13. Re:Destroyed? by jd · · Score: 2, Interesting

    I can think of no reason at all. Hell, most "Science and Technology Museums" would love to have a car like that as an exhibit! And, last I heard, jet engines and a cruising speed of 716 mph wasn't street-legal anywhere, but the Thrust-SSC team didn't put their car through the trash compactor.

    --
    It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  14. Autonomous cars and traffic jams by GuyMannDude · · Score: 4, Insightful

    I for one am very happy to see this technology advancing. It's not gonna take much intelligence to make an autonomous driver better than most human drivers.

    The benefits of having cars that drive themselves will be enormous. First, these cars can be programmed to drive in a manner that conserves gasoline (e.g., no jack-rabbit starts, limit speeds to 55 mph, time their accelerations between stoplights so they don't have to come to a complete stop at every one). Second, cars that drive themselves in a rational manner -- instead of the emotional, irrational manner that people drive them -- can significantly reduce traffic jams. There is an insightful analysis of traffic jams at this page which explains that jams are larely the result of people not letting other people merge into their lane coupled with the relatively-slow reaction time of humans. Cars that can synchronize their motion in relation to nearby traffic could make traffic jams a thing of the past.

    Not to mention that if the car drives itself, I can read slashdot on the commute home (or watch Natalie Portman movies).

    GMD

  15. How about a Midget? by spicydragonz · · Score: 5, Funny

    Remember the famouse automaton Mephisto from the 19th century that claimed to be a chess playing robot.
    http://www.angelfire.com/games/SBChess/automaton.h tml
    I think I could hide a midget inside an SUV with enough computer looking doohickies to make a cool $2mill.

  16. Re:Destroyed? by menkhaura · · Score: 2, Funny

    And, last I heard, jet engines and a cruising speed of 716 mph wasn't street-legal anywhere

    Not even in German Autobahns?

    *Sigh*

    --
    Stupidity is an equal opportunity striker.
    Fellow slashdotter Bill Dog
  17. Estimates on brain power by jd · · Score: 5, Interesting
    There are some interesting estimates out on the web of how fast the human brain can process data. Current estimates are between 10^13 and 10^16 operations per second, which would put the upper limit at about 10 giga mips (remember, 'mips' is a million instructions per second). If we assume the brain handles 'reals' rather than integer values for data, then this translates to about 10 peta flops.


    In comparison, the world's fastest supercomputer (BlueGene/L) is rated at a maximum of 183,500 gigaflots, which is about 0.2 peta flops, or one fiftieth of the maximum speed of the human brain.


    Now, you don't NEED the full processing power of the human brain in order to drive. That's not my point. My point is that a car-load of computer parts, at the current level of technology, is probably going to drive about as well as a Horseshoe Crab. I'm actually very impressed that developers have actually got as far as they have, as they're very unlikely to be using state-of-the-art technology for this, most are probably using pile-of-PC architectures, not much more than some webcams for vision and basic motors for the robot linkage, most likely continuous for power - steppers have vastly superior accuracy but have no force behind them.


    You also have to look at the power cleaning systems they need - car batteries are NOT smooth and car electrical systems are typically pretty rough. On the other hand, computers need power that is spike-free and ADCs (analog-to-digital converters) rely on a steady reference voltage to be able to do anything useful. A noisy power system would be Bad News for a self-operating vehicle. Oh, and computers don't do well when hot, but air conditioning units - particularly if they switch on and off - are going to add some serious noise to the power.


    Whoever builds a car that can go a decent distance is worthy of vast respect and awe, because there are some massive technical problems that require ingenious hacking of mechanical, electrical and microelectronic systems to operate in some pretty harsh environments.


    I do think DARPA would be foolish to end the contest if there is a winner this year - rather, they should extend the challenge. Have the vehicles go through a wider range of terrains, as a multi-stage rally, perhaps, with cars who succeed in the desert then having to navigate through a forest, swamps, along the tops of snow-covered mountains - pretty much any terrain that a vehicle could realistically encounter if used for military missions.


    If DARPA did that, and the contestents succeeded, then (and pretty much only then) would DARPA have a general-purpose robotic vehicle they could throw into any arena that would be hazardous for humans under combat conditions. Why stop when you have something that could have made things easier three years ago had it existed, but which may be useless in a scenario three years from now, when the dangers may be completely different?

    --
    It's a small world and it smells funny; I'd buy another if it wasn't for the money; Take back what I paid (SoM)
  18. Tomshardware Qualification Day 1 Update by not5150 · · Score: 2, Informative

    Tomshardware is posting daily updates live from the Fontana Speedway http://www.tomshardware.com/hardnews/20050929_1259 19.html

  19. Cornell's Team by spenceM7 · · Score: 2, Informative

    My home team, Cornell, is currently in second place at the qualifiers, knocking only over one cone on the obstacle course.

    You can read their blog here, or find their website (with technology writeups) here.

  20. Mod Parent Down by Illserve · · Score: 3, Insightful

    He doesn't know the mean of the phrase AI.

    AI doesn't mean "Learning", it means Artificial Intelligence. Said poster is probably a stage in his life where his visual system is relatively stable from day to day. Whether it got there by being hard wired by his designer or through learning is irrelevant. His intelligent behavior (barring perhaps said post) on a moment to moment basis is the result of his pre-wired system, not some kind of fabulously amazing learning algorithm.

    Some of the engineers attacking this problem are using machine learning, others are using pre-fab algorithm, most are using a combination of both. They're all true AI by any stretch of the definition.

  21. The AC below explained it well. by RoverDaddy · · Score: 2, Insightful

    The safety expectations for a self-driving car will be exponentially greater than we demand of our own stupid selves. Even if self-driving cars kill people in only 5% of the situations where a human driver would, it will be too much liability for the market to bear. I'm not saying it makes sense. We accept (out of necessity) that human drivers are fallible, and expect profound remorse (as well as prison time) if they make mistake that takes a life. If a machine kills, it can't be remorseful and we can't punish it. Human nature will push us to -find- somebody to punish, and out of fear and frustration, the punishment will be extreme.

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    RETURN without GOSUB in line 1050