Overview

Description

Addressing volume zone of automotive driving Level 2+ / Level 3
The R-Car V4H system-on-chip is tailored for central processing for advanced driver-assistance (ADAS) and automated driving (AD) systems. The R-Car V4H 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 Light Detection and Ranging (LiDAR).

Thanks to a high level of integration, the R-Car V4H allows manufacturers to develop cost-competitive, single-chip, ADAS electric control units (ECUs). These control units may support driving systems appropriate for automated driving Levels 2+ and Level 3, including full NCAP 2025 features. A dual V4H configuration enables seamless system performance improvements and fail-degraded operational support which is required for Level 3 systems. The R-Car V4H also supports surround view and automatic parking functions with impressive 3D visualization effects such as very realistic views.

R-Car V3M and R-Car V3H, both currently in high-volume production, focus on smart front cameras for Level 1 and Level 2 applications. R-Car V4H uses a scalable architecture that allows the re-use of software assets from the third generation of R-Car devices. This enables customers to expand to next-generation systems smoothly and quickly as they develop Level 2+ and Level 3 systems. The R-Car V4H also supports the latest LiDAR, radar, and thermal camera technologies.

State-of-the-art R-Car deep learning technology at low power consumption: 16 TOPS/Watt
The R-Car V4H offers up to 34 TOPS of highly efficient deep learning performance. It uses ultra-low power consumption and requires only passive air-cooling, both of which help reduce the total bill of materials (BOM).

Solution supports the industry’s stringent ASIL B/D requirements
The R-Car V4H development process targets ASIL D systematic capability for all safety-relevant IP. The signal processing portion of the R-Car V4H is expected to achieve ASIL B and D metrics for the real-time domain. Furthermore, the R-Car V4H can be used in combination with the RAA271041 pre-regulator and the RAA271005 PMIC optimized for cars. This enables a highly reliable power supply for the R-Car V4H and peripheral memories from the 12V supply of the vehicle battery. These features enable low-power operation while targeting ASIL D compliance for systematic and random hardware faults at a very low BOM cost. This helps to minimize the effort of hardware and software development while reducing design complexity, cost, and time to market. Superior scalability maximizes software re-use to cover ADAS/AD Level 1 to Level 3.

Embedded software platform development paving the way toward the software-defined car
An R-Car V4H Software Development Kit (SDK) is also available to perform faster and easier initial device evaluation and software development including deep learning. The SDK offers full functionality for machine learning development, and optimization of embedded systems for performance, power efficiency, and functional safety. Complete simulation models are available, and the Renesas operating system agnostic software platform enables easier development of the software-defined car.

Features

  • Four Arm® Cortex®-A76 cores at 1.8GHz for a total of 49kDMIPS of general compute for ADAS/AD applications
  • Three lockstep Arm® Cortex®-R52 cores at 1.4GHz, for a total of 9kDMIPS to support ASIL D real-time operation, and eliminate the need for external microcontrollers
  • Dedicated Deep Learning and Computer Vision I/Ps with overall performance of 34 TOPS
  • Image Signal Processor (ISP) with parallel processing for machine and human vision
  • Image Renderer (IMR) for fisheye distortion correction or other mathematical operations
  • Graphics Processing Unit (GPU) AXM-8-256 at 600MHz for a total of more than 150 GFLOPS
  • Dedicated automotive Interfaces: CAN, Ethernet AVB, TSN, and FlexRay
  • Two fourth-generation PCIe interfaces
    • Integrates multiple safety mechanisms that provide high coverage with fast detection and response for random hardware faults, achieving ASIL B/D metrics for the majority of the SoC processing chain.
    • Open solution supported by Renesas and R-Car Consortium partners

Comparison

Applications

Documentation

Design & Development

Software & Tools

Software & Tools

Software title
Software type
Company
3D Surround View With and Without GPU
GPU version (R-Car H3 / M3) • 4x 2MP @ 30fps input • 4k @ 60fps output • Cogent color harmonization • Dynamic 3D bowl, dynamic blend zones • Transparent car (Historical view) • Detection features IMR version (R-Car V3H / V3M) • 4x 2MP 30fps input
Software Package Cogent Embedded Inc.
Atlas Camera Optimization Suite for R-Car by Algolux
The Atlas Camera Optimization Suite is the industry’s first set of machine learning tools and workflows that automatically optimizes camera architectures for optimal image quality or for computer vision. Through a secure cloud-enabled interface, Atlas significantly improves computer vision results in days vs. traditional approaches that deliver suboptimal results even after many months of manual ISP tuning.
Software Package Algolux
Autobrains AI Solution
Autobrains provides video perception SW. Revolutionary, self-learning AI leveraging R-Car V Series assets.
Software Package AutoBrains Technologies Ltd.
Automotive SoC Consulting Service
R-Car Online Consultation is a service where you can receive various consultations regarding R-Car V3H and R-Car V3M. We propose various solutions according to the customer’s situation, such as consultation for customers who are considering R-Car for the first time, learning of image recognition and deep learning using R-Car, and construction of evaluation environment. With this development consulting service for automotive SoC, we will shorten the introduction time of customers and solve problems at an early stage.
Software Package Hitachi Industry & Control Solutions, Ltd.
Driver Monitoring Solution on R-Car - Vision based ADAS algorithms development on R-Car V3 M/H
Driver Monitoring Solution on R-Car. In-cabin camera-based driver monitoring Works with RGB, RGB+IR and IR only sensors CNN and non-CNN based models available to optimize processor load. Suite of Vision based ADAS algorithms development on R-Car V3 M/H, comprising of vulnerable road-user detection, vehicle detection, traffic sign recognition, and traffic light recognition along with complete R&D services for developing ADAS solutions.
Software Package PathPartner Technology Pvt Ltd
ISP Solutions for R-Car V3H & R-Car V3M
R-Car V3x ISP solutions, ISP Pipeline • Raw data correction • Lens correction • Noise reduction • Demosaic • Exposure control • White balance • Color correction • Color space conversion: RGB or YUV output PC Tuning Tools • Real-time Tuning • Off-line Tuning
Software Package Cogent Embedded Inc.
R-Car Hardware using OpenCL and SYCL
Codeplay's Solution for Renesas R-Car developers. ComputeSuite for R-Car™ enables developers to accelerate applications on R-Car hardware using OpenCL and SYCL.
Software Package Codeplay Software
RT-RK - Expertise on Renesas' Computer Vision and CNN
Consulting and services on computer vision and machine learning to optimize the performance of Tier 1 and OEM algorithm on Renesas products
Software Package RT-RK
SVNet, Deep Learning Embedded Software by STRADVISION
SVNet is a deep learning and camera-based embedded perception software for ADAS and Autonomous Vehicles use cases. There are millions of vehicles powered by SVNet from Level 2 ADAS to Level 4 Autonomous Vehicles in the production pipeline in Germany and China.
Software Package StradVision, Inc.
R-Car Virtual Platform
The R-Car Virtual Platform (VPF) accelerates in-vehicle software development for next-generation vehicles.
Simulator Renesas
R-Car Virtual Platform
The R-Car Virtual Platform (VPF) accelerates in-vehicle software development for next-generation vehicles.
Simulator Renesas
Distributed Processing Software for Multi-Devices
This software maximizes the performance of hardware by distributing the functions of the application to multiple SoCs or CPUs and HWIPs inside the microcontroller.
Solution Toolkit Renesas
R-Car NAS (Neural Architecture Search)
Tool for automatically designing deep learning models that run efficiently on R-Car
Model-Based Development Renesas
R-Car DNN Compiler
DNN compiler for automatically applying program optimization for deep learning model for R-Car V4H
Compiler/Assembler Renesas
R-Car DNN Simulator
High-speed simulator for deep learning model programs for R-Car
Simulator Renesas
AI Workbench
Supports remote development, testing, and evaluation of AI models and applications for the Renesas R-Car SoC platform via a web browser.
Software Package Renesas
Hybrid Compiler
Common interface across generations of SoCs.
Compiler/Assembler Renesas
Model-Based Development Environment for RH850, R-Car Family [Embedded Target for Virtual Platform]
Embedded Target for RH850 Virtual Platform is a development environment that generates peripheral code for target devices from Simulink® models and enables cooperative verification as Virtual Hardware In the Loop Simulation (vHILS) in a virtual environment with Simulink.
Model-Based Development Renesas
18 items

Software Downloads

Type Title Date
Software & Tools - Other Log in to Download XLSX 168 KB
Software & Tools - Other Log in to Download XLSX 176 KB
PCB Design Files Log in to Download ZIP 222.47 MB
Software & Tools - Other Log in to Download ZIP 5.15 MB
Software & Tools - Other Log in to Download ZIP 5.03 MB
Software & Tools - Other Log in to Download XLSM 1.73 MB
6 items

Boards & Kits

Boards & Kits

Models