Earlier 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.
Sub-$200 Lidar could reshuffle auto sensor economics
251–260 of 582 posts
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#252Earlier quoted context omitted.
Dude that's not a 'puddle' as the article claims, that's a body of water that it's not even visually obvious whether it's safe to drive through. Maybe I'm a bad driver but I'd hesitate to drive through that in a small car either.
I think the difference is the prior knwoldege a commuter has of that section of road. Does it always flood shallowly in heavy rain?
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#253Earlier 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?"
Most accidents happen because people are human, aren't paying attention, are inebriated, not experienced enough drivers, or reckless. It's not fair to say that vision based models will "make the same mistakes people do" as >99% of the mistakes people make are avoidable if these issues were addressed. And a computer can easily address all those issues
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#254Since 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...
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#255Earlier quoted context omitted.
And also ignorant about how those two eyes have binocular vision, adjustable positions, and can look in multiple mirrors for full spatial awareness.
There are good arguments but this isn’t one. Many humans (like me!) drive fine without binocular vision. And the cars have many cameras all around, with wide angle lenses that are watching everything all the time, when a human can only focus in one direction at a time.
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#256Since 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...
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#257Earlier quoted context omitted.
When it's not safe to drive, it's not safe to drive. I've been in zero-road-speed whiteout conditions several times. The only move to make is to the side of the road without getting stuck, and turning on your flashers. Low-light cameras would not have worked. Sonar would not have worked. Infrared would not have worked.
Radar might still have worked
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#258Since 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.
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…
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#259Earlier quoted context omitted.
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.
Doesn’t that make it a sensible long term play to equip your car with $200 LIDAR and start gathering that data as a competitive advantage?
Re: Sub-$200 Lidar could reshuffle auto sensor economics
#260Earlier quoted context omitted.
Very recent issue with Waymo https://dmnews.co.uk/waymo-robotaxi-spotted-unable-to-cross-... . This is 17 years after they bet the farm on LIDAR, with no signs its ever going to be cost effective or that it's better than multiple cameras, with millisecond reaction 360 degrees, that never gets tired, drunk, distracted, and also has other cheaper sensors and NN trained on Billions or real world data.
Tesla does not handle rain well either. This is not a LIDAR problem, it is a problem with self driving cars in general.