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Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

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Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#171
post #142

Earlier quoted context omitted.

What radar did Tesla use? What does the rest of the industry use?

They are using Continental 2D radars from 2014. The rest of the SDC industry uses what is called 4D high resolution imaging radars. That's why Teslas have poor performance like phantom braking under bridges.

What models on the market use 4D imaging radars? All info I can find shows products releases in the past 1-2 years for future vehicles.

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#172
post #105

Earlier quoted context omitted.

If you have one piece of rotten meat in a perfect stew, you still have a disgusting dish. Good sensor fused with garbage in is still garbage in. That was one of the major points of the talk - the vision-only system is more accurate than the one with other modalities thrown in, even though the latter has more data. We intuit that the fusion network should just learn to ignore the bad sensor when it's unreliable, but t…

> That was one of the major points of the talk - the vision-only system is more accurate than the one with other modalities thrown in, even though the latter has more data. We intuit that the fusion network should just learn to ignore the bad sensor when it's unreliable, but this rarely happens in practice. This makes some important assumptions, namely that Tesla built a lidar and radar perception pipelines and senso…

Karpathy joined Tesla way before they ditched radar. You’re saying it’s more likely that he based his work on a “student-quality” prototype?

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#173
post #63

Tesla's decision not to use the LIDAR as a safety feature (i.e. having reliable high-resolution data about things the car can collide with) is so incredibly indefensible, since solving the last 1% of this using only vision likely requires a general artificial intelligence Prediction: Tesla will be the last of all major auto manufacturers to get to L5 autonomy. Time interval between when Tesla L5 FSD is finally availa…

I strongly disagree. By all measures I've seen (including a couple of slides in the OP's video), Tesla's self-driving is far safer than human driving: the number of accidents and deaths per mile driven are something like an order of magnitude lower (i.e., around 10x safer). I mean, the machine never gets distracted, tired, sleepy, emotional, drunk, etc., so it is a LOT LESS likely to crash on boring, monotonous road…

So all of that 'research' and several FSD crashes later and they have added a new driver monitoring tool in the refreshed line of Tesla Model S Plaid vehicles because even with FSD turned on, you must have your eyes on the road at ALL times whilst driving. [0] Looks like someone made a correct prediction on this technology and it was none other than Comma.ai [1]

I have to give it to Elon that he was able to keep his fans believing a big lie of their FSD system to achieve Level 4 / 5 autonomy last year, when this year it was admittedly Level 2 [2].

The fans will continue to believe his lies and keep on saying "It's coming soon, you'll see..." when they have just been sold a Fools Self Driving System™.

[0] https://twitter.com/Model3Owners/status/1406002366923612163

[1] https://twitter.com/comma_ai/status/1406304017400012800

[2] https://www.news18.com/news/auto/teslas-full-self-driving-cl...

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#174
post #58
post #44

Earlier quoted context omitted.

You get sparse point cloud from LIDAR sensors, not accurate 3D maps. This is the main reason why some people think LIDAR may not work well (mostly, only comma.ai and Tesla folks). Vision can also get you 3D maps, either in active manner (IR floodlight or structured lighting) or not. I will reserve my judgement until see more from either side.

> You get sparse point cloud from LIDAR sensors Take a look at how dense the point cloud from Waymo's 5th gen LIDAR is: https://www.youtube.com/watch?v=COgEQuqTAug&t=11599s . They just talked about this a few days ago.

Any idea why this video went private?

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#175

Earlier quoted context omitted.

One of the arguments made in this talk is which sensor to trust when there is a disagreement. I'd love to see the scenarios where this happens with three types of sensors and the logic they use to choose the "right" one.

You can't avoid this problem by only having a single sensor modality, because you still have to decide if you trust your sensor data or not. In effect, you actually made the problem harder because you have no other information from any other sensor modalities to help understand the world around you. In effect, they solved the disagreement problem by sticking their head in the sand and pretending their sensors are nev…

You’re intent on oversimplifying the issue to support your view, but this comment makes no sense. Of course you can avoid sensor fusion issues by not doing sensor fusion. Regardless of how many sources you have, you still have to decide if you trust the data, having less sensors doesn’t change that. And having more sensors means you have to decide which input to trust.

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#176
post #118
post #63

Earlier quoted context omitted.

I strongly disagree. By all measures I've seen (including a couple of slides in the OP's video), Tesla's self-driving is far safer than human driving: the number of accidents and deaths per mile driven are something like an order of magnitude lower (i.e., around 10x safer). I mean, the machine never gets distracted, tired, sleepy, emotional, drunk, etc., so it is a LOT LESS likely to crash on boring, monotonous road…

>Tesla's self-driving is far safer than human driving: the number of accidents and deaths per mile driven are something like an order of magnitude lower (i.e., around 10x safer). Lies, damn lies, and statistics. Tesla here, is, again, being funny with the numbers. They LOVE to cite autopilot ON death statistics as being "10x safer than normal driving". What they fail to note is that Autopilot can ONLY be on while dri…

[deleted]

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#177
post #58

Earlier quoted context omitted.

> You get sparse point cloud from LIDAR sensors Take a look at how dense the point cloud from Waymo's 5th gen LIDAR is: https://www.youtube.com/watch?v=COgEQuqTAug&t=11599s . They just talked about this a few days ago.

Any idea why this video went private?

No idea, but here's another video of a different Waymo presentation showing the same point cloud: https://www.youtube.com/watch?v=uOLLrZzljs8&t=5420s

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#178
post #171
post #142

Earlier quoted context omitted.

They are using Continental 2D radars from 2014. The rest of the SDC industry uses what is called 4D high resolution imaging radars. That's why Teslas have poor performance like phantom braking under bridges.

What models on the market use 4D imaging radars? All info I can find shows products releases in the past 1-2 years for future vehicles.

https://arberobotics.com/product/ is one. It was rumored Tesla themselves wanted to use Arbe radars, but evidently they have ditched the plan and gone radar less. I think AutoX from China is planning to use Arbe as well.

Waymo has its own custom developed 4D imaging radar and I imagine most of the other SDC players have their own versions.

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#179
post #164

Earlier quoted context omitted.

Ironically this is what Tesla criticized Mobileye for. I still think that this is far the best demonstration of autonomous driving to date https://youtu.be/A1qNdHPyHu4

The 11 minute mark is terrifying: 1) The car fails to accelerate to beat the truck as it merges (the safest option given the scenario, even with the yield sign) 2) The car almost collides with the trailer of the truck and it stops with its nose sticking out into the merge lane 3) The car sits there with its nose in the merge lane as other cars go by 4) When the car finally has an opportunity to merge after having don…

Sorry at (1) yield means yield. Maybe it shouldn't have stuck the nose so far out, but yeah you have to wait until proper gap in the traffic. The non-accelerating to highway speed is the real bug though.

Re: Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles [video]

#180
post #67
post #44

Earlier quoted context omitted.

You get sparse point cloud from LIDAR sensors, not accurate 3D maps. This is the main reason why some people think LIDAR may not work well (mostly, only comma.ai and Tesla folks). Vision can also get you 3D maps, either in active manner (IR floodlight or structured lighting) or not. I will reserve my judgement until see more from either side.

Point clouds from the next generation of LIDAR are looking less and less sparse. https://youtu.be/COgEQuqTAug?t=11601

This video is private, I cannot access.
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