Renesas Electronics Corporation unveiled the R-Car V3U, an Automotive Safety and Integrity Level (ASIL) D system on chip (SoC) for advanced driver assistance systems (ADAS) and automated driving (AD) systems. Delivering 60 tera operations per second (TOPS) with low power consumption for deep learning processing and up to 96,000 Dhrystone million instructions per second (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.
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. The platform is now ready to offer scalability from entry-level NCAP applications up to highly automated driving systems, according to the company.
“The R-Car V3U . . . offers a smooth migration path to single-chip Level 3 automated driving with short development turnaround and safe production launch,” said Naoki Yoshida, Vice President, Automotive Digital Products Marketing Division.
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.
The R-Car V3U delivers highly flexible DNN (deep neural network) and AI machine learning functions. Its flexible architecture is capable of handling any network for automotive obstacle detection and classification tasks while maintaining 60 TOPS with low power consumption and an air cooling system. It offers a wide range of programmable engines, including digital signal processing 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.
Customers can also combine the R-Car V3U with Renesas’ RH850 microcontroller, integrated power management ICs, and power transistor devices to access all the key components required for their ADAS and AD ECUs. This combination also enables them to develop their systems and speed their time to market.
