ZF and Infineon Technologies have developed AI algorithms for vehicle software under the EEmotion project, co-funded by the German Federal Ministry for Economic Affairs and Climate Action.
These algorithms have been tested in a prototype vehicle, optimizing all actuators during automated driving. ZF integrated AI into its existing software solutions, cubiX and Eco Control 4 ACC, utilizing Infineon's AURIX TC4x microcontroller with a Parallel Processing Unit.
This collaboration results in improved computing power, enhancing driving performance and safety. AI enables more accurate lane changes compared to traditional methods and increases the energy efficiency of driver assistance systems like adaptive cruise control.
Torsten Gollewski, head of research and development at ZF, noted, "The EEmotion funding project shows that our artificial intelligence-based algorithms provide our customers with new advantages: AI makes it possible for products to be equipped with new functions and to be developed faster and more efficiently."
Peter Schiefer, president of Infineon's automotive division, added, "With our world-leading semiconductor products, software and services, Infineon enables customers to develop their own AI applications." The advancements promise cost-efficient Level 2+ assistance systems, marking a significant step in automotive AI technology.