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Driverless cars are stuck in a jam

economist.com

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Re: Driverless cars are stuck in a jam

#4
The most pertinent point here being that although collecting lots of self driving car data is easy, the tail and unexpected events that you care about are surprisingly rare. And many of these events can also be entirely new (never seen before). Current AI SOTA techniques simply require too much data and cannot reason well enough to solve this.

Leaving Musk aside, amongst those who are serious about self driving cars, e.g. Waymo, there is still a clear emerging picture that current AI techniques are too weak to get there right now. The limitations of current sensors and compute hardware are not helping either. Going the other way and eliminating LIDAR isn't going to help.

Re: Driverless cars are stuck in a jam

#5

The most pertinent point here being that although collecting lots of self driving car data is easy, the tail and unexpected events that you care about are surprisingly rare. And many of these events can also be entirely new (never seen before). Current AI SOTA techniques simply require too much data and cannot reason well enough to solve this. Leaving Musk aside, amongst those who are serious about self driving cars,…

I agree that ditching Lidar by Musk is the wrong move. From what I have read most if not all the self driving accidents that Tesla have been involved in could have been avoided if a Lidar type sensor was involoved. With tech available trying to use the same limits as human vision is stupid.

Re: Driverless cars are stuck in a jam

#8
The article misses an important point. It’s not only a problem of technology, it’s also a problem of risk acceptance. While we accept to be killed by our own mistakes at the wheel, society (we) will not accept that a machine makes the same, even if the failure rate is on average /better/. This is the fundamental issue Elon Musk has. The driverless bar for safety is way higher than very clever driver assistance or even rocket science.

Re: Driverless cars are stuck in a jam

#9
post #5

The most pertinent point here being that although collecting lots of self driving car data is easy, the tail and unexpected events that you care about are surprisingly rare. And many of these events can also be entirely new (never seen before). Current AI SOTA techniques simply require too much data and cannot reason well enough to solve this. Leaving Musk aside, amongst those who are serious about self driving cars,…

I agree that ditching Lidar by Musk is the wrong move. From what I have read most if not all the self driving accidents that Tesla have been involved in could have been avoided if a Lidar type sensor was involoved. With tech available trying to use the same limits as human vision is stupid.

lidar isn't cheap or small (yet), and you need cameras either way, can add lidar to the sensor suite later if it gets cheaper

Re: Driverless cars are stuck in a jam

#10
post #8

The article misses an important point. It’s not only a problem of technology, it’s also a problem of risk acceptance. While we accept to be killed by our own mistakes at the wheel, society (we) will not accept that a machine makes the same, even if the failure rate is on average /better/. This is the fundamental issue Elon Musk has. The driverless bar for safety is way higher than very clever driver assistance or eve…

>While we accept to be killed by our own mistakes at the wheel, society (we) will not accept that a machine makes the same

Ideally we should not be accepting either. It is outrageous how many people we allow to be killed regularly for slightly more comfortable transport.

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