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ADAS and automated driving

Added version of system on chip

Renesas Electronics announced the R-Car V4H system on chip (SoC) for central processing in advanced driver assistance systems (ADAS) and automated driving (AD) solutions. It comes with CAN connectivity.

Dedicated automotive interfaces of the product are CAN, Ethernet, TSN, PCIe, and Flexray (Source: Renesas)

The chip achieves deep learning performance of up to 34 Tops (tera operations per second), enabling high-speed image recognition and processing of surrounding objects by automotive cameras, radar, and lidar, explained the company. The product enables performance per watt. It targets the volume zones of automated driving: Level 2+ and Level 3. Besides others, CAN is supported as an automotive interface.

Due to its level of integration, the chip allows customers to develop single-chip, ADAS electric control units (ECUs). These control units may support driving systems appropriate for automated driving Levels 2+ and Level 3, including NCAP 2025 features. The R-Car V4H also supports surround view and automatic parking functions with 3D visualization effects such as realistic rendering.

ASIL requirements

Regarding ISO 26262 functional safety, the SoC development process targets ASIL D systematic capability for all safety relevant IP. The signal processing portion of the chip is expected to achieve ASIL B and D metrics for the real time domain. Furthermore, the company provides a dedicated power solution for R-Car V4H based around the RAA271041 pre-regulator and the RAA271005 PMIC. This enables a power supply for the R-Car V4H and peripheral memories from the 12-V supply of the vehicle battery, explained the company. These features enable low power operation while targeting ASIL D compliance for systematic and random hardware faults at low BOM cost, they added.

Software-defined car

An R-Car V4H software development kit (SDK) is also available to perform initial device evaluation, and software development including deep learning. The SDK offers functionality for machine learning development, and optimization of embedded systems for performance, power efficiency, and functional safety, said the company. Complete simulation models are available, and the Renesas operating system agnostic software platform enables development of the software-defined car.

In case of development from scratch, Fixstars’ Genesis platform enables engineers to evaluate R-Car from anywhere via their cloud solution and can provide CNN benchmark results.

The product supports four Arm Cortex-A76 at 1,8 Ghz for ADAS / AD applications as well as three lockstep Arm Cortex-R52 cores at 1,4 Ghz to support ASIL D real-time operation and eliminate the need for external micro-controllers. Image Signal Processor (ISP) with parallel processing for machine and human vision as well image renderer (IMR) for fisheye distortion correction or other mathematical operation are provided.

“We have seen excellent customer response to our R-Car V3H and V3M with high volume production, and we are pleased to extend our offering with the R-Car V4H,” said Naoki Yoshida, Vice President, Automotive Digital Products Marketing Division at Renesas. “As Renesas expands its scalable R-Car portfolio, we expect to see cutting-edge ADAS adopted in all vehicle types, from mid-range to entry-level.”


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