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Autonomous DeLorean drives sideways to move forward
101–110 of 197 posts
Re: Autonomous DeLorean drives sideways to move forward
#102I genuinely hope Tesla get a 2020 Roadster to lap the Nurburgring on autopiliot with nobody inside. If it lives up to promises, it will easily set the all time lap record as the fastest vehicle ever. It will be an interesting time when a $200k production car can whip the pants of a multi-million dollar F1 racecar.
Tesla cars historically are pretty terrible on the track. They're too heavy, and they wind up overheating. The torque from the electric motors means they do really well in a straight line drag race, but they're fairly pathetic at any race that involves manoeuvring over a longer course.
The prototype of the Plaid Model S recently was significantly faster around the 'ring than the new Porsche Taycan.
https://www.thedrive.com/news/30846/tesla-model-s-prototype-...
Re: Autonomous DeLorean drives sideways to move forward
#103Doesn't this sort of movement cause a lot of wear on the tires, thus making it unsuitable for routine use?
Re: Autonomous DeLorean drives sideways to move forward
#104It sounded like it precomputed the route, steering, drift for the whole course first, then executed it.
If the friction were variable and unknown it would get completely lost.
Re: Autonomous DeLorean drives sideways to move forward
#105Can we just stop for a minute and admire the fact that there are people out there who have found a way to get paid to program a DeLorean to drift?
Re: Autonomous DeLorean drives sideways to move forward
#106Next step: Controlled flip!
Re: Autonomous DeLorean drives sideways to move forward
#107Earlier quoted context omitted.
> "The trouble with pure neural net controllers is that they sometimes do something totally bogus for some data point within the normal input space." A friend's theory on Google Maps is that it sometimes intentionally sends you down a non-optimal path in order to gather data on alternate routes. This friend isn't in the ML space, so this is just their anecdotal observation. Are they right, then?
"Alternate routes" are still normal roads people travel on. Since the travel time of a path is just the sum of the travel time of all path segments you only need people traveling every road to estimate the total time of any path. Path finding is well understood with many algorithmic solutions, so there is no reason to use machine learning. Google's implementation is impressive, but I see no reason why it would benefi…
Google Maps is not just path finding; it also takes real-time traffic info into account.
Re: Autonomous DeLorean drives sideways to move forward
#108Can we just stop for a minute and admire the fact that there are people out there who have found a way to get paid to program a DeLorean to drift?
My thoughts exactly
Re: Autonomous DeLorean drives sideways to move forward
#109Imagine if the car could also do that in the air, where the "ground" is unstable and changes all the time, but autonomy system should still maintain narrow range glissade.
Wait, that's called landing autopilot.
Re: Autonomous DeLorean drives sideways to move forward
#110This group has done good work, and at talks about their work I was able to come away with an interesting trivia.
When they try to compete with the best racers in the world, they do lose by a consistent amount. It turns out the human racers are constantly pushing the vehicle+tires to the limit of control to understand the sharpest possible turns they can make without losing time. As the tires wear, the human is in constant learning mode to compensate turn approaches as the coefficient of friction changes.
Work on the DeLorean will hopefully feed into their racing controls and then they might be able to beat the best human racers in the world on arbitrary tracks.