Earlier quoted context omitted.
Based on that list it boils down to 2 things it seems: - cost (no longer a problem) - too much code needed and it bloats the data pipelines. Does anyone have any actual evidence of this being the case? Like yes, code would be needed, but why is that innately a bad thing? Bloated data pipelines feels like another hand-wave when I think if you do it right it’s fine. As proven by Waymo. Really curious if any Tesla engin…
If Waymo proven their model works, why the silly automaker is doing several orders of magnitude more autonomous miles?
Sub-$200 Lidar could reshuffle auto sensor economics
531–540 of 582 posts
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#532Earlier quoted context omitted.
>>Why should transportation be different? Good question, and for many it will not be, and rentals are acceptable. But also for many, renting a car has a huge ICK factor. It is one thing while traveling to rent from an agency who has (purportedly) thoroughly cleaned and inspected the car before you get it. It would be quite another to rent cars like scooters, where the previous user likely smoked, left wrappers and fo…
I think it's more comparable to Uber or Lyft. Some passengers may actually prefer to not have a driver chatting with them.
To take off as a real replacement for ownership, self driving cars likely needs to meet at least these criteria: 1) overall cheaper vs ownership for average mileage/year, maybe 12kmiles/yr. 2) consistent delivery of car to rider in Seems the short rides
, if they are cheaper than ownership, .
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#533Earlier quoted context omitted.
Sort of; accidents are the absolute core of the product. They are rare, but they are the focus of the design. By edge cases I mean scenarios like the lights going out in an underground garage; low vision due to colourful smoke or dust, or things like optical illusions or occlusion that a human would just need to remember. Lidar can help, but not really enough to be worth it.
Lidar is by far the most accurate source of range data. You need to explain why Waymo and Zoox use lidar in direct contradiction to what you claim.
If I was designing a robotaxi 10 years ago I would use lidar, designing consumer vehicles for near future L3 it's no longer the best use of resources. I prefer more compute and cameras for the money.
Our current issues are now scene understanding and navigation; followed by parking. We get very little value from LIDAR in the driving cases, so much so that we don't even use it for active nav even on cars that have it. Only for training and parking.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#534Earlier quoted context omitted.
This is silly. Cameras are cheap. Have both. Sensors that sense differently in different conditions is not an exotic new problem. The kalman filter has existed for about a billion years and machine learning filters do an even better job.
Cameras are cheap, but, as I understand: 1) it's not cheap to produce lidars at a stable predictable quality in millions; 2) car driving training data sets for lidars are much scarcer (and will always be much scarcer due to cameras' higher prevalence) and at a much lower quality; 3) combined camera+lidar data sets are even scarcer.
It wasn't cheap to produce accelerometers at a stable predictable quality in millions before smart phones either. Mass production shakes things up somewhat. See the headline for reference.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#535Earlier quoted context omitted.
One camera can't really produce depth/distance information, but two cameras sure can. The eyes in your head don't capture distance information individually, but with two eyes you can infer distance.
You're forgetting the nervous system and the brain connected to those eyes (and vestibular system).
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#536Since 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.
I'm not an expert on ML vision, but I do have a Tesla and it seems to be able to tell how far away things are just fine. I'm not sure what would be wrong with the vision system that lidar needs to fix.
Well, you did get a chuckle out of me, so that's something!
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#537Earlier quoted context omitted.
And also, even with the suite of sensors that humans have, their vision perception is frequently inadequate and leads to crashes. If vision was good enough, "SMIDSY" wouldn't be such an infamous acronym in vehicle injury cases.
the issue is clearly attention not vision when it comes to humans. if we could actually process 100% of the visual information in our field of view, then accidents would probably go down a shit load.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#538Since 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.
But cost isnt the issue as much.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#539Earlier quoted context omitted.
You're forgetting the nervous system and the brain connected to those eyes (and vestibular system).
Why would you assume I "forgot" about any of that? It's implied. That's what "infer" means in that sentence. Of course it requires a brain and nervous system. Maybe you don't know what the word "infer" means?
> One camera can't really produce depth/distance information, but two cameras sure can.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#540Earlier quoted context omitted.
the issue is clearly attention not vision when it comes to humans. if we could actually process 100% of the visual information in our field of view, then accidents would probably go down a shit load.
Humans have both issues. There are many human failures which are distinctly a vision issue and not attention related, e.g. misestimation of depth/speed, obscured or obstructed vision, optical focus issues, insufficient contrast or exposure, etc.
Which are a tiny minority. The largest causes of crashes in the US are attention/cognition problems, not vision problems. Most traffic systems in western countries (probably in others, too, but I don't have personal experience), and in particular the US, are designed to limit visibility problems and do so very effectively.