Today at CES 2024, Infineon Technologies AG and Aurora Labs unveiled a new set of AI-based solutions to improve the long-term reliability and safety of critical automotive components, including steering, braking and airbags. The companies have teamed to offer solutions that implement Aurora Labs’ award-winning Line-of-Code Intelligence (LOCI) AI technology on Infineon’s 32-bit TriCore AURIX TC4x family of microcontrollers (MCUs) to enable automotive manufacturers to offer safer, more reliable vehicles and enhance performance over the lifetime of a vehicle.
“For car manufacturers, this new jointly offered solution promises a safer driving experience by using AI-driven automated processes throughout the software lifecycle of a vehicle. The solution supports real-time monitoring and response to software failures at the MCU- and ECU-level according to WP29 requirements. By protecting applications and over the air (OTA) updates, the joint solution helps prevent malicious attacks and hardware safety failure,” said Zohar Fox, CEO and Co-founder of Aurora Labs. “We have partnered with Infineon to ensure an improved driver experience based on predictive safety maintenance using AI capability. 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.”
“As a leader in automotive semiconductors, we are very happy to team up with Aurora Labs to bring a new level of safety to predictive maintenance applications for vehicles,” said Thomas Schneid, Senior Director Software, Partner and Ecosystem Management of Infineon. “With the combination of Infineon’s proven AURIX MCUs, along with Aurora Labs’ software to prevent silent data corruption and software misbehavior in chipsets, our new solution gives car manufacturers and drivers an extended level of safety confidence for critical automotive applications such as steering, braking and airbags.”
The new solution leverages Infineon’s proven AURIX TC4x family of MCUs with real-time safety and security performance. The MCUs are designed for next-generation eMobility, advanced driver assistance (ADAS), automotive E/E architectures and affordable artificial intelligence (AI) applications. Aurora Labs’ AI- and ML-based features are implemented in the AURIX TC4x PPU (Parallel Processing Unit), a purpose-built AI accelerator, and do not share any resources with the OEM applications running on the CPU.
