Before y'all say that now everyone will be able to get Waymo's sensor suite for hundreds of dollars instead of tens of thousands, that's the easy part. Waymo benefits from Google's unparalleled geospatial data. Waymo also has a support architecture that doesn't depend on real time remote operation, which can't be implemented reliably in almost all cases. You can't be following your supposedly unsupervised cars with a…
>Waymo benefits from Google's unparalleled geospatial data. That's true, and they have a huge headstart, but I wonder if all these cubesat companies can bring the price down on data enough that others will be able to compete.
Sub-$200 Lidar could reshuffle auto sensor economics
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Re: Sub-$200 Lidar could reshuffle auto sensor economics
#282Are we sure these things aren’t damaging our eyes? It’s lasers shooting all over the place right?
When designed, built, installed and calibrated correctly, the power and wavelengths used are not considered harmful to humans.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#283Since 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.
The appeal to human biology and argument against fusion between disparate sensors kinda falls flat when you’re building a world model by fusing feeds from cameras all around the car. Humans don’t have 8 eyes in a 360 array around their head. What they do have is two eyes (super cameras) on ~180 degree swiveling and ~180 degree tilting gimbal. With mics attached that help sense other vehicles via road noise. And equilibrioception, vibration detection, and more all in the same system, all fused. If someone were actually building this system to drive the car, the argument based on “how did you drive here today?” gets a lot stronger. One time I had some water blocking my ear and I drove myself to the hospital to get it fixed. That was a shockingly scary drive — your hearing is doing a lot of sensing while driving that you don’t value until it’s gone.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#284Earlier quoted context omitted.
As I understand, lidars don't work well in rain/snow/fog. So in the real world, where you have limited resources (research and production investment, people talent, AI training time and dataset breadth, power consumption) that you could redistribute between two systems (vision and lidar), but one of the systems would contradict the other in dangerous driving conditions — it's smarter to just max out vision and ignore…
No, it isn't "smarter." Camera-only driving is the product of a stubborn dogmatic boss who can't admit a fundamental error. "Just make it work" is a terrible approach to engineering.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#285Earlier quoted context omitted.
I think the difference is the prior knwoldege a commuter has of that section of road. Does it always flood shallowly in heavy rain?
The amount of water will depend on the rain, so we don't know how shallow it is even with prior knowledge.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#286Since 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.
Why make things more complicated than they need to be? Humans don't have lidar and we are the only intelligence that can reliably drive. Lidar just seems like feature engineering, which has proven to be a dead end in most other AI applications (bitter lesson). https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson...
Whether or not it'll actually work remains to be seen, but it's a perfectly reasonable strategy. One counterargument would be that the bitter lesson can be applied to LIDAR too; you don't have to use that data for feature engineering just because it seems well suited for it.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#287Earlier quoted context omitted.
Why make things more complicated than they need to be? Humans don't have lidar and we are the only intelligence that can reliably drive. Lidar just seems like feature engineering, which has proven to be a dead end in most other AI applications (bitter lesson). https://www.cs.utexas.edu/~eunsol/courses/data/bitter_lesson...
This knee-jerk reply is old and tired, and the counterarguments are well-trod at this point. Even if cameras-only can build a car that’s as good as humans, why should we settle for “as good as“ humans, who cause 40,000 fatalities a year in the US? If we can do better than humans with more advanced sensors, we are practically morally obligated to do that.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#288Earlier quoted context omitted.
No, it isn't "smarter." Camera-only driving is the product of a stubborn dogmatic boss who can't admit a fundamental error. "Just make it work" is a terrible approach to engineering.
Can hatred of Musk not derail this entire thread please? I have a camera-only ADAS that I think works quite well, but having both would be better.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#289Earlier quoted context omitted.
The reasoning is cynical but sound. If the system uses only the sensing modes people have, it will make the mistakes people do. If a jury thinks "well I could have done that either!" You win. It doesn't matter if your system has fewer accidents if some of the failure modes are different than human ones, because the jury will think "how could it not figure that out?"
I don't think that's the reasoning. The reasoning was simply that LIDAR was (and incorrectly predicted to always be) significantly more expensive than cameras, and hypothetically that should be fine because, well, humans drive with only two eyes. Musk miscalculated on 1) cost reduction in LIDAR and 2) how incredible the human brain is compared to computers. Having similar sensors certainly doesn't guarantee your acci…
Given that Musk has a history of driving lower costs, it's unlikely he overestimated the long-term cost floor. He just thought we were close to self-driving in 2014.
Another factor is Andrej Karpathy, who was the primary architect for the vision-only approach. Musk wanted fewer parts, and Karpathy believed he could deliver that. Karpathy is still an advocate of vision-only.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#290Since 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.
This conversational disconnect is as old as the hills:
1. Person 1 asks "what's wrong" (if it ain't broke don't fix it)
2. Person 2 wants to make something better
My meta-goal here on HN (and many places where people converse) is for people to step back and recognize the conversational context and not fall into the predictable patterns that prevent us from making sense of the world as best as we can.