Looking to improve the reliability and safety of critical automotive components, Infineon Technologies AG is teaming up with Aurora Labs on a set of artificial intelligence (AI)-based solutions to improve vehicle performance.
The collaboration, announced at this week’s CES 2024, will implement Aurora Labs’ line of code intelligence (LOCI) AI technology running on Infineon’s 32-bit TriCore Aurix TC4x family of microcontrollers. The code will improve the long-term reliability of functions like steering, braking and airbags inside vehicles.
The companies said the solution supports:
- Real-time monitoring of components
- Protects applications and OTA updates
- Prevents malicious attacks and hardware safety failure
“Our solution streamlines OEM software development at lines-of-code and hardware peripheral resolution to enable them to develop safer systems in accordance with ASIL-D,” said Zohar Fox, CEO and co-founder of Aurora Labs.
Infineon said the collaboration will prevent silent data corruption and software misbehavior in chipsets. This gives automotive OEMs and drivers an extended level of safety in critical automotive applications.
Infineon’s MCUs are designed for next generation mobility, advanced driver assistance systems (ADAS), automotive E/E architectures and AI applications. The AI and machine learning features from Aurora Labs are implemented in the MCU’s parallel processing unit, a purpose-built AI accelerator and does not share resources with OEM applications.
