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Tesla's self driving algorithm's overlay [video]

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Re: Tesla's self driving algorithm's overlay [video]

#13
post #2

I have often wondered about this, so I do find this interesting. Of all of the info presented, one question I have is how does the AI decide when to go at a 4-way stop? In real life, I'm am constantly amazed at how confusing a 4-way stop is to humans. Not that I ever had any doubt into how complicated real-time video analysis could be, this just makes my appreciation of the complexity of the problem that much more qu…

The system isn't AI based... It's currently based on static programming. This is why a development team would have to think of every possible scenario that could happen on roads to make self driving cars really work.

You'd have to ask all kinds of wild questions too like:

"What if kids played a prank and re-painted road lanes on a highway at 50MPH?"

"What if a sand storm happened?"

"What would the car do if a tire blows out at 55MPH?"

"Could the car detect a Tsunami is coming and abandon a trip assignment?"

And that's just a tiny tiny sample of scenarios necessary.

Some AI elements may exist within the network, but I'm pretty sure they are only running on the back end in terms of maps. The computing power to really permit the car to run autonomously, and to "adapt and learn" about driving only comes with experience and it also takes a lot more computing power and storage than your home computer can handle, much less the components in Tesla cars.

Launching Self Driving Cars so close to their infancy is pretty reckless if you ask me. People are being paid off and buried online by paid staff online to keep quiet about all the accidents and issues with them.

To make self riding cars reliable at this point in time, they pretty much need perfect circumstances, and they need to operate on fixed, predictable, and well maintained paths... Kind of like a train. They should really work on this technology in mass transit, shipping, big industry and on planes before pushing out thousands of smaller vehicles with it.

There is plenty of proof that development teams aren't and may never be flawlessness enough to make error free updates, if you don't believe that, then just ask Boeing.

Re: Tesla's self driving algorithm's overlay [video]

#15

Which sensor has primacy? radar, lidar or camera? I recall it mentioned somewhere that, after a well publicized tragedy hitting the side of a white truck on a bright day, Tesla was moving to radar? And yet a lot of the cues this awesome video shows seems to be camera-based line detection etc?

[deleted]

Re: Tesla's self driving algorithm's overlay [video]

#16

Which sensor has primacy? radar, lidar or camera? I recall it mentioned somewhere that, after a well publicized tragedy hitting the side of a white truck on a bright day, Tesla was moving to radar? And yet a lot of the cues this awesome video shows seems to be camera-based line detection etc?

Tesla doesn't use lidar. They have always used radar, but radar can't always tell the difference between a stationary metal sign near/over the road and a stalled car in the middle of the lane, so for stationary objects they need the cameras. This is why every adaptive cruise control system (not just Tesla's) has a warning that it may not detect stationary objects.

https://arstechnica.com/cars/2018/06/why-emergency-braking-s...

Re: Tesla's self driving algorithm's overlay [video]

#17
post #9

Which sensor has primacy? radar, lidar or camera? I recall it mentioned somewhere that, after a well publicized tragedy hitting the side of a white truck on a bright day, Tesla was moving to radar? And yet a lot of the cues this awesome video shows seems to be camera-based line detection etc?

IIRC tesla still doesn't use LIDAR. Just wanted to point that out.

Correct. I believe they use vision along with front facing radar only

Re: Tesla's self driving algorithm's overlay [video]

#19
post #2

I have often wondered about this, so I do find this interesting. Of all of the info presented, one question I have is how does the AI decide when to go at a 4-way stop? In real life, I'm am constantly amazed at how confusing a 4-way stop is to humans. Not that I ever had any doubt into how complicated real-time video analysis could be, this just makes my appreciation of the complexity of the problem that much more qu…

The proper rules[1] of a 4 way stop are probably pretty straightforward to encode, and probably easier for a computer to apply than a human, but the real issue is that you can't trust the other drivers (or AIs) to understand/follow them consistently. So the interesting part is how these kinds of systems can almost instantly react when another driver starts to go, and let them go.

In NYC, where I live now, the de facto rule seems to be if you hesitate at all then the other person just goes, rules be damned. In the rural south, where I'm from, there's a lot of "no no, you go first" waving/gesturing/light flashing, which I'm curious if/how a self driving car would handle. (Do we need to give the self driving cars hands to gesture with?!)

1. https://en.wikipedia.org/wiki/All-way_stop#Operation

Re: Tesla's self driving algorithm's overlay [video]

#20
post #2

I have often wondered about this, so I do find this interesting. Of all of the info presented, one question I have is how does the AI decide when to go at a 4-way stop? In real life, I'm am constantly amazed at how confusing a 4-way stop is to humans. Not that I ever had any doubt into how complicated real-time video analysis could be, this just makes my appreciation of the complexity of the problem that much more qu…

The system isn't AI based... It's currently based on static programming. This is why a development team would have to think of every possible scenario that could happen on roads to make self driving cars really work. You'd have to ask all kinds of wild questions too like: "What if kids played a prank and re-painted road lanes on a highway at 50MPH?" "What if a sand storm happened?" "What would the car do if a tire bl…

> than your home computer can handle, much less the components in Tesla cars.

Ehm a recent Tesla has very powerful specialized hardware, developed in-house, which is much more powerful than a commodity home PC with expensive GPUs. You might want to do some basic research before you make such claims...

> The system isn't AI based... It's currently based on static programming

A large neural network is used to make many of the decisions, as well as to run the perception of the sensors/cameras. Unclear what you mean by "AI", but neural networks are usually covered in the "AI" term by researchers and engineers in this field.

> may never be flawlessness enough to make error free updates

It seems that you are new in this argument, because this point has been rebutted so many times in the past, but here goes: it does not have to be flawless, it just has to statistically cause fewer accidents per kilometer/year than what human drivers cause in a similar situation (which is already non-zero, and in some countries actually quite high).

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