Lidar is ugly and expensive, but requires way fewer cycles to calculate distances. And it works through fog and even some obstacles, nor does it care about glare or get "scared" of shadows.
If we had infinite compute in the car, cameras would be the obvious solution ...but we don't. You can get "Pretty good" with cameras, but still people find specific spots where the car is 100% sure a shadow under a bridge is a car or something stupid like that.
It feels like there's a lot of assumptions baked in here. For example, do humans get in accidents because eyes are insufficient driving sensors? Or because human drivers get tired, distracted, make mistakes, etc.
Also, you can put 10 cameras on a car looking in all directions at the same time, which feels materially different from a human that only has 2 eyes which can only look in a single direction at a time.
It's possible that massively superhuman driving performance can't be achieved with just cameras, but I'm not seeing a strong case for that being made here.
This article makes no attempt to answer the actual meat of the question.
Ultimately, people will vote with their wallet.
p.s. I wonder if you could prevent glare by placing an LCD-like device in front of the lens dynamically blocking out the sun.
Also, contrary to your statement, the article directly addresses the meat if the question:
> The disagreement is whether “good enough to help a human drive” ever becomes “good enough to remove the human,” and his answer is no, because the sensing tops out before you get the last few nines.
> Now, Tesla would point to its active Robotaxi service as an example of “removing the human”, but Dolgov also said that camera-only is also good for a demo, and that’s basically what Tesla’s Robotaxi service is right now.
The short range ones, found at vehicle corners and on the rear, are now around $200 - $1500. The long range car-top unit is still expensive, around $10,000, and that's dropping. The whole sensor suite on a Waymo is probably under US$20,000 right now. If that.
The future direction for automotive seems to be more car-top sensors with narrower fields of view that add up to a full circle. Only the one that looks ahead needs 300m range.
Dolgov also pushed back on the one knock that camera-only fans always reach for: cost. Waymo is on its sixth generation of hardware, and he said each generation has drastically cut the price. Betting against sensors like lidar on today’s prices, he warned, means betting on “a number that has a fairly short shelf life.”
An Ojai costs less than a mid tier luxury vehicle. Is that not cheap enough?
And the price is only coming down.
Seems like a bad way to legislate this, since everyone else on the roads pays the price for cut rate self driving
Of course not!
So, you may be surprised to find that Waymo's sensor package doesn't cost $200k. Whoops!
Nope, you need a regulatory approval, insurance etc. Self driving cars need to be 10x the average driver. So the trillion dollar question is when Lidar will meet all requirements and when camera-only.
1) Both in 2028
2) lidar in 2030 and cameras in 2035
3) Gov will require lidar for full self driving
Elon has already lied, on an investor call, about how such things are not necessary - he referenced how "Tesla cameras can count photons", as a reason why they were not affected by fog, rain, or snow.
Except, no they can't, and they never will be able to. Not the cameras in any Tesla now (and even then). It's a completely different type of camera (and it would do effectively nothing useful from a visualization perspective, let alone functional camera for human viewing). And even if they changed the camera, or added some, well, you can't count photos if you're not in an enclosed space (you know, like the open road).
This is where Elon gets really dangerous, in my mind, he knows enough to be dangerous, he knows what to say that convinces the layperson, or investor, passes the initial sniff test only to dramatically fall over when you investigate.
I can't purchase a Waymo at any price.
https://www.tesla.com/support/fsd#pay-attention
> FSD (Supervised) is an advanced driver assistance system that is intended to be used only with a fully attentive driver. It does not turn a Tesla into a fully autonomous vehicle.
To me, true self-driving starts at level 3. Otherwise, it's supervised.
And Tesla selling their product as "Full Self Driving (Supervised)" is like selling "Fully Cooked Meal (Frozen)". No! You call it a "frozen meal"!