Earlier quoted context omitted.
I would highly recommend https://www.youtube.com/watch?v=PYylPRX6z4Q as a way of framing the problem. It seems like our options for ML are currently: self-play, dataset fitting, or human feedback. It's possible to solve any problem that can fit into one of those molds. (Unfortunately the opposite is true: if a problem doesn't fit into those categories, it seems very hard to solve with any form of ML.) But, now that I…
Neural Networks are good at curve fitting which makes them useful for inference +- noise. In control systems you need to do inference to predict feedback signals +- noise. So you can use a neural network for that. Train it on input and feedback data from your samples. Your control system still needs to account for predictability, smooth behaviour etc so you have the rest of your machinery to handle that. This is not…
Autonomous DeLorean drives sideways to move forward
161–170 of 197 posts
Re: Autonomous DeLorean drives sideways to move forward
#162Earlier 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?
That is my theory as well. It sometimes suggests a route I don't normally take, then when I continue on the route I normally take , the ETA updates to say I will now arrive sooner. Google Maps intentionally suggests to take longer routes.
Re: Autonomous DeLorean drives sideways to move forward
#163Earlier 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…
Re: Autonomous DeLorean drives sideways to move forward
#164It 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.
Which is very common, even in controlled drift events. Over the course of a single run, tires can completely change grip coefficients.
I wasn’t clear on that from the article.
Re: Autonomous DeLorean drives sideways to move forward
#165Earlier quoted context omitted.
Google Maps is not just path finding; it also takes real-time traffic info into account.
Which is still just path finding: estimate travel time for each segment, use travel time instead of distance as edge cost. Don't take that as a dismissal of Google maps: it's the most impressive path finder I know, working with high performance over long distances, taking into account real time information, and calculating meaningful alternative routes to choose from. It's an impressive piece of technology that actua…
Re: Autonomous DeLorean drives sideways to move forward
#166I wonder if it would be feasible to make a fleet of race cars that have self driving technology that has each car communicating with the others and monitoring the human drivers, with the car letting the human drive but able to step in if the human tries to do something that would cause a crash? I bet you could make some pretty good money with such a fleet running open races that members of the public can pay to drive…
Autonomous cars aren't necessarily better than race car drivers.. would be interesting if human racers and autonomous compete
Re: Autonomous DeLorean drives sideways to move forward
#167Earlier quoted context omitted.
That is my theory as well. It sometimes suggests a route I don't normally take, then when I continue on the route I normally take , the ETA updates to say I will now arrive sooner. Google Maps intentionally suggests to take longer routes.
It could be that Google Maps is saving everyone time by doing this. The Braess Paradox is really interesting, and this could be an attempt to prevent it: http://vcp.med.harvard.edu/braess-paradox.html
Re: Autonomous DeLorean drives sideways to move forward
#168they have gotten this car to do complex and exotic movements via automated manipulations of the car's human-oriented interface, that is, a single steering wheel, four wheels that turn in the same direction, and then the brakes / accelerator. It seems though that if you are actually trying to design autonomous cars that feature greater maneuverability than what is normally possible you'd instead ditch the whole assump…
Re: Autonomous DeLorean drives sideways to move forward
#169If self-driving tech has become so advanced, I wonder why Waymo is not delivering anything? I wonder why is Tesla taking forever to deliver self-driving, why Uber discontinued its self-driving program, Why Apple ain't serious about Apple car yet? Does this demo hide something that we should know?
I think in this demo they simply paint a path for the car to follow. The cones etc are there just to help us see whether it's following the path well. If there was a cone in the middle of the path, it would've run right over it.
What would impress me (seriously). I go out the L.A. Colliseum parking lot, set up cones / a track that the car can definitely do (based on radiuses & turns in this video), the car "studies" the track (I don't care if a drone looks at it & takes measurements), and then the car calculates and executes a perfect path through the course the first time without hitting anything.
Again, not trying to crap on this, I'm just saying that anyone who's worked in controls, automation, engine control, etc. (I've done all these & more) isn't utterly wow'ed by this. Kudos, but we didn't just put a man on Mars.
Re: Autonomous DeLorean drives sideways to move forward
#170Earlier quoted context omitted.
How quickly can a car measure the available traction and respond to brief loss events? Can on/off detection response times and recovery strategies be improved for black ice (and hydroplaning)? If a car hits black ice, should it power itself down or should it max out the CPU looking for the instant traction returns on any wheel and do whatever it takes to try to slow down?
Modern traction control systems available on production cars and motorcycles have a polling rate of up to 1000Hz. You don't need self driving tech to handle most low traction situations. Black ice is an exception because once you start sliding on it there is not much you can do to regain control except ride it out and hope you don't hit anything before you get out of the ice.