Yes, we are using a fusion of different types of sensor input. I have to be careful to not divulge trade secrets, but I would also add that sensory input (deep

Yes, we are using a fusion of different types of sensor input. I have to be careful to not divulge trade secrets, but I would also add that sensory input (deep learning based or otherwise) is only the very first step in a long and complex chain of tools, algorithms etc. The media and academia are focusing almost exclusively on that step, but it's really only a small piece of the puzzle we are working on. You are also correct on the performance issues. The DNNs you would require for the very complex decisions are currently too large to be used on automotive ECUs. But we also still have big open questions regarding provability of safety when using neural networks that need to be answered before we can use them for core decision making algorithms.