The rain sensing argument is a complex one and long term I can see the advantage. For the car to self drive it needs to know the environment because a driver knows if it’s raining, misty, icy, standing water, potholes, pothole filled with water etc and makes allowances. A self driving cars need to do the same. In that context wiping the windscreen should be possible. As a unique, one off feature though it makes no sense. Where the problem comes for me is they’ve tried to run before they can walk, 4 years or so early.Have to agree. I'm led to believe by Data Scientists I know that one of the first questions a Data Scientist should ask when taking on a new project is whether AI actually is the best solution to the client's problem, or whether other, simpler solutions would be more efficient and cost-effective. AI clearly is the answer to self-driving as there's no other existing technology that can do that. Is it the answer to rain sensing? I would imagine that a camera-based system is always going to struggle a bit detecting rain intensity in low light - indeed, humans don't find it that easy to do, which is why we often rely on other 'sensors' (sticking our hand out the door to see if it gets wet) sometimes in these conditions.
Saying that for some things that vision-based systems aren't suited to, where better technologies already exist, Tesla should use the existing better technologies if they are relatively cheap to procure doesn't mean you're a vision-based system h8er overall. The fact that Tesla is a market leader in these technologies is one of the selling points of the car, and I'm very interested to see how it develops for driving autonomy purposes. But why use it for rain sensing if even the best case scenario, with many years, and much more training data, is that it becomes as good as - but no better than - existing, simpler systems for rain sensing?
The irony is the rain sensor could have helped train the AI, relying on drivers was a mistake in hindsight because drivers were already used to an semi automated feature, as a result the capability regressed for the user.
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