still not identical. Crossing a border implies getting into a jurisdiction with a different set of rules.
For example, when encountering a speed sign that mandates lowering your speed, the Dutch rule is to lower the speed after the sign; in Germany, the rule is to lower the speed before the sign. Accelerating is the same, in reverse. The Dutch will accelerate when seeing the sign in the distance, the Germans will accelerate after the sign.
Some may think this article is attacking the neural net approach of Tesla. That is far from the truth. In the previous article, system architecture was mentioned. Important parts of the system architectures are the vector space. I do not know whether the vector space is moving around the car, or the car is moving through a static vector space. It is a subtle difference.
All road signs, both static and from dynamic sources must be interpreted. The AI must be able to read to understand the qualifiers, like “when raining,” “when low visibility,” “when bad visibility,” etc.
Source: The AI Report (theaireport.net)
That would be a big step backwards. They have already found that a rule-based automation isn't going to work.
AI to police 'but i saw speedlimit 2 mile before'
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