R-Car V4H System Evaluation Board Set/White Hawk
The White Hawk is an R-Car V4H-specific evaluation board set that can be used to evaluate systems using the R-Car V4H and to develop operating systems, device drivers,...
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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.
In addition to R-Car V4H, discover our next cost-competitive product lineup (V4M) here.
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 81kDMIPS of general compute for ADAS/AD applications
- Three lockstep Arm® Cortex®-R52 cores at 1.4GHz, for a total of 25kDMIPS 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
- Automated Driving Level 2+, Level 3, Level 4
- Front Smart Camera for NCAP 2025 5 Stars
- Automatic Parking & Surround View with 3D Visualization
- Driver and Occupant Monitoring System
- Light Detection and Ranging (LiDAR) System
- Intelligent Survey Camera
- Robotics
- Industrial Applications
Design & Development
Software & Tools
Software & Tools
| Software title
|
Software type
|
Company
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|---|---|---|
| 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
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Software Package | Cogent Embedded Inc. |
| 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. |
| 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.
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Software Package | StradVision, Inc. |
| RoX Virtual Platform The RoX Virtual Platform accelerates in-vehicle software development for next-generation vehicles by allowing users to start development activities prior to hardware availability.
|
Simulator | Renesas |
| RoX Virtual Platform The RoX Virtual Platform accelerates in-vehicle software development for next-generation vehicles by allowing users to start development activities prior to hardware availability.
|
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 |
| RoX 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 (HyCo) 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 |
| RoX Software Development Kit The RoX SDK is an easy-to-start & easy-to-use development framework for the R-Car SoCs.
|
Software Package | Renesas |
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Boards & Kits
Models
Videos & Training
e²studio for R-Car - RAM/IO Monitoring with the Real-Time Performance Monitor View
This video shows you how to set up a simple project to debug and monitor its memories using the RPM RAM I/O monitor feature in Real-time Performance Monitor view on e² studio for R-Car.
Video List
