In order to make vision-only depth sensing work well, you need ground-truth data. Buying a few thousand lidar to get a ton of ground-truth training data for the NN to learn distance on its own from vision is an obvious move. They're not switching to Lidar.<p>source: i debugged lidar and built localization and behavioral planning algorithms for self driving cars
Tesla R&D budget is $4B.<p><a href="https://usnewsfile.moomoo.com/public/MM-PersistNewsContentImage/7781/20240128/0-63371776b6ce7c95662198a34d2aa699-0-7e5d12bce5710b99be4d69f2e34bd7d0.png/big?imageMogr2/ignore-error/1/format/webp" rel="nofollow">https://usnewsfile.moomoo.com/public/MM-PersistNewsContentIm...</a><p>2M? Hahaha....<p>>_>
My reading is this is only for their own taxi fleet. $2M at $1000 per car = 2000 cars.<p>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.
Very confused to why they're not just acquiring.<p>If they're representing 10% of revenue are they're doing a pilot and then considering outright buying them?