Renesas updates R-Car V3H with improved deep learning performance

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Renesas Electronics Corporation has unveiled an update of its R-Car V3H system-on-chip (SoC).

This update from the supplier of advanced semiconductor solutions will to deliver significantly improved deep learning performance for smart camera applications.

The applications include driver and occupant monitoring systems (DMS / OMS), automotive front cameras, surround view, and auto parking for high-volume vehicles up to Level 2+.

The updated SoC combines sensor fusion on the real-time domain with up to ASIL C metrics and an architecture optimized for smart computer vision.
Also, it offers OEMs and Tier 1s a high-performance, low-power solution to support the latest NCAP 2020 requirements as well as the roadmap to NCAP 2025 3 Stars at competitive system costs.

Naoki Yoshida, Vice President of Automotive Digital Products Marketing Division at Renesas, said, “the rising popularity of intelligent systems for applications, such as driver monitoring, park assist, driver recognition, and occupant sensing, is stoking higher demand for deep learning functions as automakers look for new ways to enable smart camera applications.”

He added: “The updated SoC provides R-Car V3H customers a flexible, easy, and cost-effective path to higher computer vision performance for next-generation front camera systems, and we are excited to continue bringing cutting-edge innovation to our customers with our growing platform of open and scalable SoCs for ADAS and highly automated driving.”

Recognition technology

Building on the recognition technology introduced with the R-Car V3H in February 2018, which includes integrated IP for convolutional neural networks (CNN), the updated R-Car V3H, the company said, delivers four times the performance for CNN processing compared to the earlier version and achieves up to overall 7.2 TOPS processing including all computer vision IPs while maintaining low power consumption levels.

The SoC, which is highly integrated, supports up to ASIL C metrics safety goals on the real-time domain, reducing the need for an external safety microcontroller (MCU) to manage sensor fusion and final decision actions.

R-Car V3H has a suite of proven IPs that support the perception stack, sensor fusion with radar and/or Lidar, and ISP with up to eight MP cameras support.

This will allow OEMs and Tier 1s to achieve quicker time to market with lower bill of materials costs.

(With inputs from Automotive Lead Research Team)

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