At the current state of the art, test vehicles that enter data for the training of autonomous cars generate around 70 terabytes of data per day. Processing these huge amounts of data requires highly efficient processes in order to optimize vehicle operation and develop new functions. The Hybrid Data Bridge is intended to provide ZF with continuous, company-wide process control.
A pilot project of the Hybrid Data Bridge has been implemented and is now being used in the ADAS research and development department; further ZF divisions are to follow. It is planned that more than 25,000 ZF engineers worldwide will be able to access the Hybrid Data Bridge via an intuitive interface, for example to view individual video clips, label them, create playlists for training the ADAS/AD functions in the vehicle, and quickly transfer them to downstream processes.
As a central component of ZF's hybrid cloud strategy, the Hybrid Data Bridge is based on complete virtualization of the vehicle's computing resources. It comprises the services of various providers in a public and private cloud. The cloud architecture is based on the hybrid cloud foundation RedHat OpenShift for the creation and scaling of containerized applications, for example to accelerate data reception and video transformation.