The new devices, the R-Car V4M series and the expansion of the existing R-Car V4H series, deliver robust AI processing capability and fast CPU performance, while carefully balancing performance and power consumption. Their exceptional TOPS/W performance and power-optimized features make them ideal for entry-level, cost-sensitive ADAS applications such as front smart camera systems, surround-view systems, automatic parking and driver monitoring systems.
Based on the same advanced 7-nm manufacturing process technology as the powerful R-Car V4H series, the new R-Car V4M series delivers deep learning performance of up to 17 TOPS and boasts high-speed image processing and precise object recognition using on-board cameras, radar and LiDAR. With the addition of the new R-Car V4M and R-Car V4H devices, customers can now select the best suited SoC option in Renesas’ scalable ADAS portfolio. These devices offer advanced AI technology, performance and power efficiency to meet a diverse array of ADAS application requirements. The new devices maintain pin compatibility within the same series and software compatibility with existing R-Car products, allowing OEMs and Tier-1 suppliers to reuse existing software and reduce engineering costs.
The R-Car V4M and R-Car V4H series feature up to four Arm® Cortex®-A76 cores delivering up to 81K DMIPS performance for application processing. It also comes with three Arm Cortex-R52 lockstep cores with up to 25K DMIPS performance for real-time operation. The new devices are extremely power efficient, providing 9 TOPS/W performance, thanks to their highly integrated design and leading-edge manufacturing process technology. In a typical full-feature smart camera with an 8-megapixel sensor, the R-Car V4M consumes around 5 watts of power – 50 percent less than similar devices on the market.
