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[-] froh42@lemmy.world 3 points 1 year ago

Wow, you solved one of the really easy self driving problems (sign recognizion) with a more complicated solution.

Sign recognition and traffic light recognition are available in a lot of cars. Detecting that the dark lump on the road is just a shadow and not slamming the brakes automatically is the hard part.

Or that the white sky is in fact not a white sky but the sideways view of a semi trailer.

(The latter issue is why relying on multiple sensors camera+radar+ultrasound in the case of my car's emergency brake system and drive assistant is always a lot better - each sensor on its own has its failure modes)

[-] Petter1@lemm.ee 1 points 1 year ago

Umm, we had it about blocked streets not normal sign detection But if those would be standardized to designs good "readable" for cam/pc (like QR codes), the car would never recognize e.g. a "S" for a "5". Due to high contrast, one could assure that it still works by night. But honestly I would prefer, if manually cars are completely banned from roads and only FSD cars are allowed. The streets would then be made for FSD cars (instead for human("monkeys" drivers) and about all problems are solved.

[-] froh42@lemmy.world 1 points 1 year ago

In huge parts of the world these are standardized and readable as well - where Vienna Convention signs are being used. (Those with have more pictograms).

Detours are also labelled by standard signs in a pre-determined font with a specific reflectivity. Easy for a car to recognize.

And even without text recognition is one of the really easy parts of self driving. I've done development on document recognition for random bank statements, builinng plans and legal documents - all the paperwork for financing a house - before. Those documents come in in various fonts, layouts differently formatted etc.

this post was submitted on 24 Aug 2023
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