One example of this is its supercomputer ZF ProAI for vehicles which is able to process enormous volumes of data in real time. But that's not all. Using its capacity for “deep learning,” it independently gathers experience. Abilities such as these are necessary for realizing autonomous driving in day-to-day life.
Digitalization and the Internet of Things will be an enabler to use ZF technologies across all mobility and industrial segments.
As diverse as the options are for tapping into ground-breaking hardware and software for the future, ZF insists that its own innovations offer clear added value for ZF’s customers and their end customers.
Examples of this include the control units which are critical for developing autonomous driving and also telematics. They make logistics, fleet management and driving more efficient, safer and easier. Other examples are control panels in the cockpit whose touchscreen fields feel like real switches. Added to that are apps that warn drivers, pedestrians and cyclists of the risk of collision long before humans can anticipate them.