German semiconductor maker Infineon Technologies said it has expanded its collaboration with Lenovo to integrate its AURIX™ microcontrollers into Lenovo’s autonomous driving domain controllers, a move aimed at accelerating the development of software-defined vehicles and advanced driver assistance systems.
Under the partnership, Lenovo’s AD1 and AH1 autonomous driving domain controller platforms will use Infineon’s AURIX microcontroller family to support high-speed data processing and functional safety requirements for vehicle automation ranging from Level 2 to Level 4, the companies said.
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The integration is intended to provide a scalable and energy-efficient computing foundation for automotive original equipment manufacturers (OEMs) as vehicles increasingly rely on software and artificial intelligence to manage driving functions. The platforms are designed to handle complex in-vehicle networking while supporting real-time safety-critical applications.
“The AURIX family plays a key role in enabling safe computing in vehicles,” said Thomas Böhm, senior vice president at Infineon, adding that combining Infineon’s microcontrollers with Lenovo’s software and system architecture would help automakers advance their software-defined vehicle strategies.
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The joint solution is designed to support multiple stages of vehicle autonomy, from partial automation (L2) through conditional automation (L3) and high automation (L4) in defined operating environments. The companies said the approach allows OEMs to adapt the same core architecture as automation requirements evolve.
Tang Xinyue, vice president of Lenovo Group, said Infineon’s semiconductor technology provides a reliable hardware base for Lenovo’s automotive computing platforms. He said the partnership focuses on deeper integration of AI with real-world driving scenarios to deliver more dependable autonomous driving solutions.
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Infineon and Lenovo said they plan to further expand their cooperation by working with additional partners across the automotive ecosystem, as the industry accelerates its shift toward software-defined and increasingly autonomous vehicles.