Exactly how and when autonomous driving will be adopted at the outset is something that is constantly changing: When Daimler presented their F 015 concept car in 2015 for example, the Stuttgart-based firm spoke of 2030 as being a starting point. However, the world of microchips and artificial intelligence has progressed at a faster rate than expected even since then. "The computers we are now starting to see in cars perform at the same level as those in data centers, but consume much less power," says Jack Weast, the man responsible for the autonomous vehicle system architecture at Intel. "The computers used in the Darpa Challenge ten years ago in the Nevada desert which still fill a whole trunk, will shrink to the size of a laptop."

Supercomputers are not only required to handle the flow of data from the 26 sensors covering the car’s entire environment within the vicinity of up to 250 Meters. They are also involved in subsequent phases upstream, such as environmental understanding, roadway planning and the driving strategy. On top of that, the mountains of data on all levels must also be evaluated by self-learning neural networks.

Already today, luxury limousines use up to 100 million lines of programming code. In the future, the data sets will be so large and the requirements so complex that they will not be able to be processed using fixed systems. In fully automated systems, more than two terabytes of data are generated per hour. This is about the equivalent of 2000 computer hard disks. Such information can only be evaluated with the aid of large computers – both inside and outside the car itself. Jason Waxmann, who is responsible for data centers at Intel, expects that by 2030, 10 percent of all data centers worldwide will be used for autonomous driving alone: "For each autonomous vehicle, there are currently about one million euros in costs for the external data backend. For series production, this effort simply has to shrink to a fraction of the price,” warns Waxmann. Safe to say that chipmakers have enough to be getting on with.

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