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Welcome to the newest edition of the Innovation Coffee Break today, hosted by understand.ai. At understand.ai we automate annotations and now I will tell you why. For autonomous driving we need enormous amounts of data. To take passengers safely from A to B, a safe driving vehicle needs to master it surrounding perfectly with all challenges which are on the way. Since self-driving vehicles typically learn from data, we have to present those self-driving cars with all the weird situations which might apply in real life. Since we want self-driving vehicles to always behave nicely and well defined, we need to present them with many, many such rare events. A typically use case is that you have a driving function and you want to make sure that it applies to safety standards. So you put this driving function into your car and you have all the sensors and these are the sensors-under-test. And then you put a second sensor set on the rooftop of your car, so thats the so-called rooft