Selective quoting without understanding, yay.
Here is the full quote:
Modern CA systems are operating with memory, they have maps and registers of what they have seen. They keep track of recorded objects from image to image. If two seconds ago both sensors (or more precisely, the algorithms that interprets the sensor readings) agreed the object to be a lorry and now one of them thinks it’s a dog,
(emphasis mine).
directly suggests running object classification on lidar output alone, this is where I stopped reading
So working in machine learning research and directly with the tech involved (e.g. LIDAR mapping) is not in the field. Where do you think companies like Waymo or Uber got their machine learning algorithms from?
by this measure I could claim to be working in the field as well, after all I do have a depth camera on my desk and did 3 semesters of machine learning.
For me working in the field actually means deploying the tech, not learning about it.
2 its not my sole opinion, many people on hackernews had same sentiment.
3 Btw did Uber recruit in Talin?
How is that relevant?
-other ML people also didnt quite agree with his conclusions
-self explanatory
Yes and Aptiv has also explicitly said that Uber has disabled their stuff on the Volvo as to not interfere with their own systems (Aptiv doesn't want to be tainted by the scandal). The poor performance of the Uber's car is not in dispute, get off your high horse.
The whole thing is a list of excuses with a conclusion its so hard it was basically unavoidable, meanwhile pretty crappy mobileye has no problem even with shitty copy of a copy of a dashcam footage, same footage author deemed too bad for image classification (and implied this was the picture actual system would use!?!).
So someone with "a commercial interest in the field" is going to spend 5 3 years** in Tallinn in Estonia, slaving away for next to nothing (and likely accruing debt in the process) doing a PhD
Higher ed is mostly tuition free in Estonia.
Basically people who actually do work with technology all agreed this was a big fat WTF from Uber, and then this dude pops out with "its really hard guys, mmmkay". This was the PERFECT setup for autonomous car: slow moving person, dragging metal reflector, crossing 3-4 lanes of road at 90 angle, directly under two street lamps, on an empty road with good visibility (actual one, not the lol dashcam).
Edit:
https://www.theverge.com/2018/3/27/17168606/nvidia-suspends-self-driving-test-uber"NVIDIA Titan V Reportedly Producing Errors in Scientific Simulations"
https://wccftech.com/nvidia-titan-v-error/