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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]

#121

Post by Shivetya »

ArtWomb wrote: post #7

I believe this was released as part of Tesla's Autopilot hiring announcement. More details here: https://www.tesla.com/autopilotAI Definitely someone's dream job ;) I particularly like the applicant query: "Tell us, what extraordinary work you have done?"

while an interesting video I really want to see the entire front arc stitched together. How is it judging it is safe to go through the stop sign? Situations like that fascinate me the most.

One issue not discussed enough is all this push for automation really needs road marking guidelines pushed down from the Federal level. While the feds can hold domain over the interstate system or roads it can be maddening the differences on right of way rules to simple markings at state level

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

#123

Post by triska »

dylan604 wrote: 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…

There is an interesting and important theorem from control theory that is relevant for this situation. In a paper from 1984, Leslie Lamport has called it Buridan's Principle and phrased it as follows:

“A discrete decision based upon an input having a continuous range of values cannot be made within a bounded length of time.”

The paper is available from:

http://lamport.azurewebsites.net/pubs/buridan.pdf

It shows that under very general assumptions, a decision cannot be made in bounded time, leading to starvation (metaphorically and also literally). An example is a 4-way stop with other cars arriving at various times.

The paper's history is also very interesting:

https://lamport.azurewebsites.net/pubs/pubs.html#buridan

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

#124

Post by deckar01 »

akerro wrote: post #93

What are the blue squares? Features to estimate position and motion?

Most of them are at the base of structures like signs and trees. In a few places it looks like the Z projection is overlaid onto the video with the wrong perspective, so it's hard to tell. My guess is that they are generic stationary object recognition tags that serve as hints about what isn't part of the road.

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

#125

Post by marnett »

triska wrote: post #123
dylan604 wrote: 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…

There is an interesting and important theorem from control theory that is relevant for this situation. In a paper from 1984, Leslie Lamport has called it Buridan's Principle and phrased it as follows: “ A discrete decision based upon an input having a continuous range of values cannot be made within a bounded length of time. ” The paper is available from: http://lamport.azurewebsites.net/pubs/buridan.pdf It shows tha…

thanks for sharing this - this is fascinating. Admittedly I have never been exposed to Control Theory before, so I see a rabbit hole in my future.

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

#126

Post by nickik »

Udik wrote: post #111
ricardobeat wrote: post #96

Earlier quoted context omitted.

Say what you want, but you would never be able to avoid a crash like this: https://www.youtube.com/watch?v=oqHtavx-eec Or this https://www.youtube.com/watch?v=2uqA9bqICEk

I think the first might just look difficult to avoid because if the lack of peripheral view in the video- a driver would have seen the other car much earlier than the video suggests. As for the second one, looks like the other car just passed in front of it.

Not if a big car is next to you. And even then many people wouldn't be able to react. We can argue this case, but that collision avoidance overall is a very helpful feature is pretty clear.

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

#127

Post by Tiktaalik »

aeternum wrote: post #90
iamleppert wrote: post #79

Not sure I'd trust an autopilot based on crude visual odometry and segmentation that can only achieve a paltry 17 fps.

Not sure I'd trust humans since their crude visual systems lead to reaction times of over one second: https://www.researchgate.net/publication/233039156_Brake_Rea... 17x faster is an impressive improvement

"impressive improvement" over such a flawed and dangerous form of transportation that it yields one of the top causes of human death.

Self driving cars is a case of doing the wrong thing better. I agree with the parent and there are better solutions out there.

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

#128

Post by kevin_thibedeau »

maccam94 wrote: post #82
daenz wrote: post #38

>Vision fps: ~18 Surely that can't be right

The cameras are running at higher fps, but the processed outputs don't need to go that fast. At 65MPH, 18fps is one frame for every 5 feet of travel.

Not fast enough to react to someone swerving into your lane.

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

#130

Post by Smoosh »

outworlder wrote: post #78
baddox wrote: post #40

Earlier quoted context omitted.

> 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. I'm not really sure what this dichotomy is that you're describing. It certainly looks like they're using computer vision to detect the bounding boxes of cars, and the field of computer vision is widely…

> In this particular example, I would expect self-driving cars to be vastly better than most human drivers in this situation at maintaining control while pulling over and stopping. Cars today are vastly better at maintaining control in this situation even without self-driving. If the car has traction control, as long as the driver doesn't panic they will have a much greater chance of keeping control of their vehicle,…

This is an area which I am interested in.

While most interest/discussion in self-driving surrounds the interpretation of the environment viz other road users, road markings and signage, I am following the (too slowly developing) Roborace, Stanford's MARTY and similar efforts to automate expert car control including handling the loss of control.

I look forward to the day when passengers can be confident that they are safer than with even the best human driver. And not just statistically safer, but demonstrably so.

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