The absolute buzzword in autonomous driving is currently Artificial Intelligence; an increasing number of players is entering the market. The company emerging from the NXP-Qualcomm merger will also be involved in this area, Sievers said. At the same time, he warned not to overhype AI: “I am not convinced that the solutions we eventually will see in mass production will need to be AI systems,” he said. The reason: There are scenarios to teach the system at prototype level while the series vehicle will run with the learned algorithms. Such an allocation would lead to more cost-effective solutions.
Reger added that the most likely solution will embrace both neural networks (a variety of AI) and conventional programming. “Carmakers currently working intensively with neural networks”, Reger said. “These are non-deterministic systems. In the case of an accident, it could be difficult to comprehend how such a system came to its decisions. Thus, it is possible that we will see neural networks and normal deterministic detection algorithms in parallel. AI is necessary, but not in all cases sufficient,” he elaborated.