ZF has added AI algorithms to its two existing software solutions cubiX and Eco Control 4 ACC, which have been implemented on Infineon’s AURIX TC4x microcontroller with integrated Parallel Processing Unit
(PPU). This makes the artificial intelligence algorithms more efficient and makes better use of computing power. Compared to conventional approaches without AI, the two companies have now proven that their solution can, for example, carry out automated lane changes much more accurately. The energy efficiency
of driver assistance systems such as ACC has also been increased. The improved driving performance combined with lower computing power paves the way for cost-efficient level 2+ assistance systems.
The AI algorithms developed as part of the „EEmotion“ project and tested in a test vehicle control all actuators during automated driving according to the specified driving trajectory and optimize them.
„AI enables products to be equipped with new functions and developed faster and more efficiently,“ says Torsten Gollewski, Head of Research and Development at ZF.
The EEmotion project aimed to develop a control system for automated driving that is based on AI algorithms and ensures more precise trajectory control in various driving situations. The implementation of the project included defining the requirements for the AI-based functions, developing an overall concept and corresponding hardware, and developing the integration of AI into control architectures for safety-critical applications. (oe)
Peter Schiefer, President of Infineon’s Automotive Division:
„Thanks to its Parallel Processing Unit, our AURIX TC4x enables fast and
parallel processing of data, which is essential for artificial intelligence and
simplifies the next steps in automated driving towards autonomous
driving.“
