source: i debugged lidar and built localization and behavioral planning algorithms for self driving cars
Not very credible.
https://www.cnet.com/roadshow/news/tesla-model-y-luminar-lid...
Besides, I imagine many of the issues with vision (e.g. adverse weather) could not be addressed with training-time data.
https://usnewsfile.moomoo.com/public/MM-PersistNewsContentIm...
2M? Hahaha....
>_>
Also why is the tone of the article so toxic.
Waymo has fully autonomous self driving that actually works for their taxi fleet. Waymo uses lidar. Tesla building a taxi fleet, Tesla now needs to spring the extra dosh for a bit of lidar.
So a $2 million order would work out to $1.08 per car.
Or if Lidar hardware for one car cost about $500, then $2 million is not quite enough for one day's worth of manufacturing output.
This is clearly R&D just to validate the images from their vision approach.
What do you do when the sensors disagree?
I can assure you that a human with LIDAR and RADAR built in would get around even better than without.
If they're representing 10% of revenue are they're doing a pilot and then considering outright buying them?