This improvement in performance will benefit smart camera applications, including 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 has combined sensor fusion on the real-time domain with up to ASIL C metrics and an architecture that's been optimised for smart computer vision. It offers OEMs and Tier 1s a high-performance, low-power solution that supports the latest NCAP 2020 requirements as well as the roadmap to NCAP 2025 3 Stars at competitive system costs.
Building on the recognition technology introduced with the R-Car V3H in 2018, which includes integrated IP for convolutional neural networks (CNN), this update 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 highly integrated SoC 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. The R-Car V3H features 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, allowing OEMs and Tier 1s to achieve quicker time to market with lower bill of materials costs.
“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,” said Naoki Yoshida, Vice President of Automotive Digital Products Marketing Division at Renesas. “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.”
