Renesas Electronics Corporation has unveiled the R-Car V3U – a best-in-class ASIL D system on chip (SoC) for advanced driver assistance systems (ADAS) and automated driving (AD) systems.
According to the premier supplier of advanced semiconductor solutions, delivering a groundbreaking 60 TOPS with low power consumption for deep learning processing and up to 96,000 DMIPS, the R-Car V3U is built for the performance, safety, and scalability (up and down) demands of ADAS and AD architectures driving next-generation autonomous vehicles.
Naoki Yoshida, Vice President, Automotive Digital Products Marketing Division at Renesas, said, “We are excited to introduce the newest generation of our popular R-Car SoCs for the next generation of ADAS and AD vehicles.”
Yoshida added: “The R-Car V3U leverages assets developed on previous-generation devices, such as ADAS and Level 2 perception stack with the R-Car V3M and R-Car V3H, along with the Renesas autonomy platform, to offer a smooth migration path to single-chip Level 3 automated driving with short development turnaround and safe production launch.”
The new R-Car V3U is the first SoC using the R-Car Gen 4 architecture within the open and flexible Renesas autonomy platform for ADAS and AD.
With the launch of R-Car V3U, the platform is now ready to offer complete scalability from entry-level NCAP applications up to highly automated driving systems.
Automated driving systems require functional safety up to ASIL D – the highest and most stringent automotive safety integrity level specified under the ISO 26262 standard for road vehicles.
The R-Car V3U SoC integrates multiple sophisticated safety mechanisms that provide high coverage with fast detection and response for random hardware faults, and is expected to achieve ASIL D metrics for the majority of the SoC processing chain, as well as reducing design complexity, time to market, and system cost.
Renesas has developed an open and integrated development environment that enables customers to take advantage of the R-Car platform’s built-in hardware benefits, as well as low power consumption and deterministic real-time software to enable fast time to market for computer vision and deep learning-based solutions.
The R-Car V3U also offers a wide range of programmable engines, including DSP for radar processing, multi-threading computer vision engine for traditional computer vision algorithms, image signal processing to enhance image quality, and additional hardware accelerators for key algorithms such as dense optical flow, stereo disparity, and object classification.
(With inputs from Automotive Lead Research Team)
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