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Pretty sure the self driving vehicles get the speed data from a dataset and not from signs.


There are already non-self-driving cars that get speed limits from signs. I’ve seen that feature in a Honda for example. I imagine you’d have multiple sources like a max speed for that type of road as a fallback. And you need to read speed limit signage due to temporary limits. There’s also variable speed limit roads near me now and so you have to read those electronic signs unless the database is updated very often (though no humans seem to obey those limits).


No, many ordinary cars contain image classifiers that read speed limit signs dynamically. This is pretty standard. And they sometimes get it wrong e.g. my car reads 80 MPH as 60 MPH about a third of the time, much to my dismay.

The dynamic classification is required because the world isn't static. An increasing number of locales have digital speed limit signs that vary the speed limit dynamically, some times independently per lane. Automation requires cars to respond to the world as it is, not how the world was when it recorded a month ago.


then it's not really (self)driving.


It’s (not) self-driving in the same way planes do (not) fly. Just because something doesn’t do things the way we (or our or a bird) does doesn’t mean it doesn’t achieve its goal.


if a street changes into a one-way one day (signaled by a sign) relying on a map will lead to a big unhappy problem.

sure, if you consider everything selfdriving that works on a NASCAR track, then yes, a map is sufficient, but if we are talking about driving on public roads then recognizing and "obeying" signs visually seems like a hard dependency.


Then how about an AI misclassifying a firetruck for a road?


who maintains that worldwide dataset?


Maybe an AI processing Google Street View recordings. :)


Why would they?




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