521–530 of 582 posts
I saw a Waymo in Seattle, today. If Waymo can get Seattle right, that gives me a lot of confidence that their stack is very capable of difficult road conditions. Note: I have not had the pleasure of riding in one yet, but from what my friend in SJ says, it’s very convenient and confidence-inspiring.
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Probably one factor is range. The article talks about 200-300m range, a robot vacuum has maybe 10m best case?
For example this one has 120m range with 1cm accuracy and its 15 euros: https://www.temu.com/bg-en/-digital-laser-distance-meter-50m...
It might , but comma.ai proves that lidar is red herring, which is further supported by the fact that Waymo are able to drive vision-only if necessary.
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> So that should technically be sufficient Sufficient to build something close to human performance. But self driving cars will be held to a much higher standard by society. A standard only achievable by having sensors like LiDAR.
if a self driving car had the exact vision of humans it would still be better because it has better reaction times. never mind the fact that humans cant actually process all the visual information in our field of view because we dont have the broad attention to be able to do that. its very obvious that you can get super human performance with just cameras. Whether thats worth completely throwing away LiDAR is a diffe…
Deciding to crash faster, or "tell human to take over" really fast is NOT better.
Since lidar has distance information and cameras do not, it was always a ridiculous idea by a certain company to use cameras only. Lidar using cars are going to replace at least the ones that don't make use of this obvious answer to obstacle detection challenges.
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The points linked repeatedly focus on cost and complexity as justification, even explicitly stating musks desire to minimise components in Kaparthy’s list. They don’t focus on safety or effectiveness except to say that vision should be ‘sufficient’. Which is damning with faint praise imho. If that link was to try and argue that the removal of sensors makes perfect sense i have to point out that anyone that reads that…
To be clear, from a personal standpoint, I am pro-more sensors and sensor fusion. I assume Musk, et al are acting in best faith in trying to find the right compromises.
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My understanding is that there's more data processing required with cameras because you need to estimate distance from stereoscopic vision. And as it happens, the required chips for that have shot up in price because of the AI boom. But I think costs were just part of the reason why Elon decided against Lidar. Apparently, they interfere with each other once the market saturates and you have many such cars on the same…
How does Waymo handle it now? There are many videos of Waymo depots with dozens of cars not running into each other.
https://www.reddit.com/r/SelfDrivingCars/comments/1mdl5zn/tw...
https://www.reddit.com/r/waymo/comments/1pggtpu/two_waymos_m...
I worked in mobile robotics for a defense contractor in the early-mid 2000s and we had a homegrown Lidar (though we always called it ladar) that was large, heavy, and cost $250k to make. I remember a year out of college driving 2 hours to a military base with it in the backseat of my car and being paranoid at every bump I hit. These things seem like a dream.
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Humans aren't using only fixed vision for driving. This is such a tiresome thing to see repeated in every discussion about self driving. You're listening to the road and car sounds around you. You're feeling vibration on the road. You're feeling feedback on the steering wheel. You're using a combination of monocular and binocular depth perception - plus, your eyes are not a fixed focal length "cameras". You're moving…
In India (among others), honking is essential to reducing crashes We often greatly underestimate / undervalue the role of our ears relative to vision. As my film director friend says, 80% of the impact in a movie is in the sound
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> without people ragebaiting about Elon Hmm. Is it ragebaiting to respond to a tired and wrong statement by saying that it's tired and wrong and that the situation is merely the product of piss poor management decisions? People get understandably frustrated seeing the same wrong talking point that people with domain knowledge in computer vision and robotics have repeatedly explained is wrong in extremely fundamental…
suspiciously defensive??? you got me. Or maybe I just didn't understand their comment.