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How Wayve is teaching cars to drive
The Robot Brains Podcast
Machine Learning for Autonomous Driving
Alexander: A lot of people would say a more pure learning approach, it's going to be too hard. But we think we can learn all the way end to end for self driving. We have a trainable nural network that goes from censer input and feeds an am senser imput which is then passed through this neural network and gives us a motion plan as an output. That's what we've spent the last our, last four years building. It has the flexibility to really drive and understand its environment like you might getting in a new vehicle or a new your new domain. Training that and a system that is powerful enough to learn that function, that can map from
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