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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]

#391

Earlier quoted context omitted.

> warns you that it thinks you are going to run a red light / stop sign I need this feature, and I would prefer this to full autonomous driving. A computer that warns you when you're about to make a mistake is achievable today and will increase safety for everyone.

I was in a Honda Stepwagn last week and that one recognised stop signs and clearly displayed it.

These can make neat demos but what’s the false negative rate?

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

#392
post #140

It still strikes me why so many people are still against a future with self driving cars. Sure, people throughout history are scared of change & new tech. But if you look at this video and compare the amount of stuff the camera catches AND processes, with the things you are seeing & processing, it's really hard for me to see me being better at it than a computer. The reality of driving (as a human) is that most of it…

If self-driving cars become the majority of cars, how long until it is deemed that "manual operated cars" are unsafe and should be banned?

For example, if it were the case that safe driving cars were on average 10% safer in most situations.

Wouldn't there be pressure to reduce deaths and injuries by banning manually operated cars.

What do you think about self-driving cars being a source of data for private and govertment organizations on where you are at any time, or your travel patterns?

Do you think there would be a time when people who displeased the government could be essentially stranded because they can't get access to the self-driving network?

I never expected the level of survailance and scanning happening in UK/China, etc.

Are self-driving cars (possibly with biometric face and fingerprint scanners), another possible entry point into survailance?

I've been wondering about the privacy / control aspects. What do you think?

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

#393

The amount of jitter in the estimates makes me nervous, especially when the model thinks something is present in one frame and not there in the next.

Why can't they just whack it with some kind of Bayesian latent space model. A big jump should have to require more evidence than the history of the previous posterior

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

#394
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…

I've been driving for 40 years. I still hate 4-way stops.

In the late 70's in Connecticut, I was taught the first person to arrive goes first, followed by the person to their right and so on.

But there are so many holes with that heuristic itself! And putting aside guilt and anxieties of humans that prevent them from being assertive or committing--it's just a cluster fuck.*

However, I have noticed that people are becoming more comfortable with zipper merging in major cities on both coasts, so if we could arrive at some consistent 4-way stop rule that's 1) succinct, and 2) easy to remember, I have hope. :)

[* I'm referring to San Fran and the South Bay... but still better than my experiences driving through Italy and in Bengaluru!]

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

#396

Earlier quoted context omitted.

The dancing cars were fixed several months ago in an update. The computer used to just recognize cars, and then align them according to the lanes it sees. At a stoplight it when it had trouble seeing the lanes clearly the cars would rapidly change orientation. Since they updated the neural net to also recognize the vehicle orientations the dancing has stopped. I have seen a lane change cancel recently, a couple weeks…

I'm pretty sure that they "fixed" the dancing cars problem by applying a low pass filter to the data before sending it to the visualization, just so people would stop complaining about it. I think there's still a lot of jitter in the underlying data.

That's a good fix, but they should apply the filter to the data used in the driving logic also.

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

#397

Earlier quoted context omitted.

Unless you're driving in a place known for courtesy like Canada or Hawaii ಠ_ಠ... People often stop late and won't move until you go first...

My father taught me this trick -- if you're going to arrive simultaneously, just make sure you stop clearly second (especially if the other car is on your right). I find it is usually pretty efficient and have yet to notice someone doing the same to me at the same time.

[deleted]

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

#398
post #142

Earlier quoted context omitted.

>> One issue not discussed enough is all this push for automation really needs road marking guidelines pushed down from the Federal level. That would be a mistake. You don't take a safety critical system and rely on a nationwide beauracracy getting all the details right to make it safe, or even effective. We've had the discussion here before, and the only way for full level 5 autonomy is a general AI capable of most…

Isn't that exactly what the federal government has done to extrodinary success with the interstate system? The interstates follow very strict and powerful standards that make us all so much safer. https://en.wikipedia.org/wiki/American_Association_of_State_...

If it worked so well, why isn't it good enough for self driving cars?

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

#399
post #393

The amount of jitter in the estimates makes me nervous, especially when the model thinks something is present in one frame and not there in the next.

Why can't they just whack it with some kind of Bayesian latent space model. A big jump should have to require more evidence than the history of the previous posterior

"Just". Pro tip, these guys work on these problems all day every day. If you think you've solved one of their major problems after 18 seconds of consideration then you're probably missing a large amount of context.

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

#400
post #191

Earlier quoted context omitted.

> I thought fully autonomous driving was meant to be done by now? That is not what Elon predicted at Autonomy Day last April. He thought they would be feature-complete by the end of 2019, which is to say, that all the basic code paths necessary for best case city driving would be functional. If you've done software development, you understand that getting to "feature-complete" is different from "code-complete", which…

He said a million self driving vehicles would be on the streets a year from FSD day. To try to say the hardware for FSD is now present in 1M vehicles (which I doubt) is disingenuous to the insinuation Elon made that FSD is right around the corner. They're not meaningfully closer to FSD today than they were three years ago. Somewhat closer? Sure. A few feet on a journey that's a few miles though.

> They're not meaningfully closer to FSD today than they were three years ago.

Actually driving a Tesla for 15,000 miles, of which perhaps 5,000 of those miles have been AP over the last 18 months, I can state this is totally false.

There has been extremely significant incremental progress with AP which is totally evident in everyday usage.

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