ZF and the University of California, Berkeley have entered into a strategic research partnership. The partnership is aimed at making use of highly developed computer vision and deep learning skills in the automotive field.
ZF, together with researchers from the renowned University of California, Berkeley, will in future harness the self-learning machines that are crucial to fully autonomous driving in the automotive field. Transferring the ability of intuition to computers in a highly complex automotive environment in order to establish one of the key requirements for fully autonomous driving is one of the biggest challenges currently facing the automotive industry.
With the newly founded Berkeley DeepDrive (BDD) Center, the University has teamed up with high-caliber industrial partners such as ZF to create the ideal conditions for achieving the ambitious aims. The BDD consortium brings together faculties and researchers from several departments and centers to combine the latest technology with real applications in the automotive industry.
Part one of the strategy involves algorithms being capable of optimizing themselves in future by means of machine learning. To this end, machine learning uses so-called neural networks modelled on the way in which the human brain works. If this involves particularly complex neural networks with many hidden layers, it is known as deep learning.
Part two of the strategy involves vehicles equipped with the necessary sensors learning how to achieve ever better outcomes using the incoming data. Individual system adjustments are aggregated in the cloud, optimized once again, and re-sent to the entire vehicle fleet. In this way, both the development pace and quality can be increased on a lasting basis