NXP Unveils Third-Generation Imaging Radar Processors for Level 2+ to 4 Autonomous Driving | NXPI Stock News

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May 08, 2025
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  • NXP Semiconductors (NXPI, Financial) has introduced third-generation S32R47 imaging radar processors for autonomous driving applications.
  • The new processors double processing power while reducing the IC footprint by 38%.
  • They meet safety requirements while reducing system cost and power consumption by using up to 89% fewer antenna channels.

NXP Semiconductors (NXPI) has taken a significant step forward in the autonomous driving arena with the launch of their S32R47 imaging radar processors. These third-generation processors, built on 16 nm FinFET technology, deliver up to twice the processing power of their predecessors. This advancement is achieved with a reduced integrated circuit (IC) footprint by 38%, offering improved system cost efficiency and power savings.

The S32R47 processors provide enhanced radar capabilities, crucial for Level 2+ to Level 4 autonomous driving systems. They are designed to process three times more antenna channels in real-time compared to current solutions, all while adhering to the ASIL ISO 26262 ASIL B(D) safety requirements. This increased capability enhances imaging resolution, sensitivity, and dynamic range, essential for detecting vulnerable road users and lost cargo.

Notably, according to Yole Intelligence, it is expected that by 2029, approximately 40% of new vehicles will feature Level 2+/Level 3 automation technologies, with an increasing adoption of Level 4. NXP's S32R47 processors achieve comparable or superior performance with up to 89% fewer antenna channels than alternative solutions. This not only reduces system costs but also addresses integration challenges by minimizing the size and power consumption of the radar systems.

These processors are currently being sampled to leading customers and target next-generation OEM platforms, positioning NXP to capture growth in the expanding autonomous driving market. The S32R47 family, which already meets functional safety and industry demands, promises to enhance the capabilities of software-defined vehicles in an evolving automotive landscape.

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