Honest caveats: it’s a 2D slice, so the numbers read high compared with a real 3D car. Treat them as trends. The car shape is a generic hypercar, not Tesla’s design.
Full technical report + all the code: DM me or leave a reply here
Can’t stop thinking about the new Tesla Roadster, so I went digging and found a Tesla patent granted Sep 29: “Electric Fan Car” (US 12,746,987 B1). [https://t.co/k4hikpynHr]
Four electric fans that pull the car down onto the road. 🧵
Coolest part: the simulation found a problem the patent already solves. When parked, ~70% of the fan air loops back from behind the car and is wasted.
The patent’s fix: extra side inlets near the tail that block that backwash.
@yunta_tsai@Bastien_Theron@wholemars I see a 2004 class project: 1 lidar point per m², from a plane, and k-means still split trees from buildings on depth alone. It says lidar returns intensity, so a cat can be brighter than the ground. Thanks for the citation, it's the best argument for lidar in this thread.
@ncccthoy fikra zuina nas tsewet ghi b la carte, mais li msewe9 lcha2n l3am, mas3ibch 3lih ytsejel f 2min. machi ghi li chedatu chi nazwa 3atifiya mni t9erb les éléctions ynud ysewet.. mais en tt cas, ana mea taswit ghi b la carte li mu7arabat l2a3yan.
X is becoming so annoying with this new shitty trend, is x algorithm so weak or what ? you can simply remove the trick and end this f**** trend !
@nikitabier do you thing mister head of product !