The basic mechanisms of Tesla AI are well known; the software scans the area around the car and differentiates between objects. How the AI really sees its world, but outside of Tesla's laboratory, probably very few knew. The Reddit users verygreen and DamianXVI now bring light into the darkness of the Tesla mind. You ordered Tesla's autopilot hardware from Ebay, which happened to have the developer version on it. This enabled them to access data showing what was being observed and processed while driving. Cars (red), cyclists (green), pedestrians (yellow) but also lanes (green carpet) and lane boundaries (yellow lines) are differentiated, and the route is constantly recalculated. In addition to the bare objects, traces of movement, distance and relative speed are constantly recalculated. Tesla relies entirely on cameras to detect the objects, while competitor Uber also uses laser scanners. The Tesla AI does not seem to be flawless yet, Tesla repeatedly emphasizes that ultimately the driver is responsible. The look into the mind of the machine is always impressive ...
I can't teach anyone anything, I can only make them think
⋔ エ ꒚꒚ ﻯ ꒒ ü ¢ k ᅮ ᄐ ꒳ ᄐ ꒒ ᅮ ꎧ ᄐ ቄ ꒯ ᄐ エ ℕ ﻯ ꒒ᗑ꒚ 」ᄐ ᄐ ᅮ Ẕ ᅮ k ꑙ⋔⋔ ᅮ ꒤ℕ꒚ ᄐ ℜ ᄐ Ẕ ᄐ エ ᅮ
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Fucking crazy