Robot car closes on driver track times
Self-driving Audi TT getting smarter on the race track
The car is a standard 265hp Audi TT S dubbed Shelley with of host of extra computing power in its boot. It's the creation of the Centre for Automotive Research at Standard University (CARS, handily), and it has already driven itself up the Pikes Peak course and reached 120mph on track.
The idea is not to create a robot race series, says Professor Chris Gerdes, head of the CARS lab, but to use the info to make cars safer. "If we can figure out how to get Shelley out of trouble on a race track, we can get out of trouble on ice," Gerdes said.
Shelley, named for Pikes Peak winner and Audi Quattro driving rally hero Michele Mouton, is equipped with a smart GPS that knows where it is to the nearest 2cm. Radar and laser sensors also help position it on the racetrack, with further information coming from the usual array of electronic feedback standard on many cars these days, such as yaw rate detectors and wheel-speed sensors showing tyre grip.
So far drivers have still proved that bit faster, although the gap is closing to within seconds, according to the team. "Human drivers are very, very smooth," Gerdes said.
He said the car is less good at feeling where its limits lie, while the best drivers know that the quickest way round a corner on the limit might be to use the throttle as well as the steering. Or that going too wide on one corner might better set them up for the next.
The track they've been using is the Thunderhill circuit north of Sacramento but to better understand how humans drive fast they've strapped monitoring systems to a driver at the Rolex Monterey Motorsports Reunion race at Laguna Seca. They also harvested data from the car, a 1966 Ford GT40.
"We need to know what the best drivers do that makes them so successful," Gerdes says. "If we can pair that with the vehicle dynamics data, we can better use the car's capabilities.
The idea of autonomous cars might not be your idea of progress, so take comfort in a line from Gerdes himself back in October. Self driving cars, he said, have been "20 years in the future ever since about 1939".
A car and a circuit are far, far more variable than any computer can be programmed for, and no matter how thorough a job is done, it isn't going to come close to a proper, experienced race driver in any of our lifetimes.
To say a computer could ever drive faster than the fastest human misunderstands how much of an art driving a race car is, and the limitations of programming!
A car and a circuit are far, far more variable than any computer can be programmed for, and no matter how thorough a job is done, it isn't going to come close to a proper, experienced race driver in any of our lifetimes.
To say a computer could ever drive faster than the fastest human misunderstands how much of an art driving a race car is, and the limitations of programming!
You're THAT wrong...
All you need is money - the technology already exists but you're going to trash a few cars along the way and it will take time for the computers to 'learn' the fastest way around the track (and their mistakes will be expensive and noisy).
Thing is - once you've done this, you'll have a program which can drive the track in any conditions - could learn changes to the track - could analyse the surface and allsorts - all WAY beyond the abilities of a human being.
The only reason it's not happening is
a - it costs a lot
b - I'm not sure what you gain by it - nothing new need be invented.
Pilots are slowly becoming 'comfort' devices to make you feel good - train drivers have been this for decades (I'm not saying you don't need a human to run a train - but they don't need to be IN the train!
You may as well just run a simulation and get the result in seconds
Human drivers might naturally look at a shaded area in winter and think ice, slow down, will the AI driver do that? Leaves on the road reducing grip?
Iirc there was a game using some kind of survival of the fittest algorithms, it was a PS1 based Ferrari 360 racing game. They gave the system the inputs (I guess speed/rpm/position on track and some look-ahead data) and car controls and let the cars go, and the ones that even drove a few metres were then re-bred and evolved and slowly they had cars that would drive around the course.
That was well over a decade ago, so I can only imagine that adding those inputs and outputs to a real car would result in a car that got faster and faster as it learnt how to interpret the i/o data to go faster basically. Racing is pretty easy really. Understeer/oversteer thresholds and xyz g sensing, yaw sensing, it won't take long to build up a table that shows what the car can and can't do, and then you just let it learn from statistical results from doing lots and lots of laps.
The problem with all these computers is they are in ideal cases so far though.
They can either do the performance bit, or the safe driving around obstacle courses bit, but I've yet to see a blend of the two where they hoon it through a situation where a hazard may present itself and the performance in that hazard is acceptable.
As good as computers are they still have a huge way to go to being as good as humans to assess a situation and make a good decision based on lots of factors.
Car control, sure, 'seeing' everything, yeah pretty good too, but making the choice on *what* to do?
How do they decide what to do, run over the kid or the OAP? Given the choice it'd probably run them both over in confusion not realising there was no winning move
I'd only trust a computer driven car absolutely when they have driven on every road on the planet at least 100 times and have a 100% safe record. Until then they are just as fallible as a good human driving waiting for that rare occasion to do something wrong.
Dave
A car and a circuit are far, far more variable than any computer can be programmed for, and no matter how thorough a job is done, it isn't going to come close to a proper, experienced race driver in any of our lifetimes.
To say a computer could ever drive faster than the fastest human misunderstands how much of an art driving a race car is, and the limitations of programming!
You're THAT wrong...
All you need is money - the technology already exists but you're going to trash a few cars along the way and it will take time for the computers to 'learn' the fastest way around the track (and their mistakes will be expensive and noisy).
Thing is - once you've done this, you'll have a program which can drive the track in any conditions - could learn changes to the track - could analyse the surface and allsorts - all WAY beyond the abilities of a human being.
The only reason it's not happening is
a - it costs a lot
b - I'm not sure what you gain by it - nothing new need be invented.
But that completely disregards that the conditions change the fastest line around the circuit, and that's where the art lies. The prediction, not only by looking at the condition of the surface at an exact point but also by the feeling through his arse, that a race driver can make is far beyond the abilities of computing, and it means that the driver will be able to find the fastest way far more easily and more intuitively than the computer. Iteration methods, even really good ones, are such that a large change in conditions could take thousands of iterations for the computer to work its way back to the very fastest line. An experienced driver will have it in five laps.
And even assuming the programming is possible, all this could be done with only one car, and would need complete reprogramming to use anything else, unlike a real driver.
There's almost no question of ever making a "better" race driver than a person.
ETA - Clarifying I'm talking only about race drivers.
Car control, sure, 'seeing' everything, yeah pretty good too, but making the choice on *what* to do?
Pilots are slowly becoming 'comfort' devices to make you feel good - train drivers have been this for decades (I'm not saying you don't need a human to run a train - but they don't need to be IN the train!
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