Features
- Low power consumption and highly efficient image recognition engine delivers up to 7.2 TOPS, including 3.7 TOPS for CNN, with optimized performance-to-power balance
- Quad Arm® Cortex®-A53 for application programming and dual Cortex-R7 lockstep cores to run AUTOSAR, supporting ASIL D development process for systematic capability for the full SoC
- Features a full set of video processing and image recognition IP for advanced sensing and recognition, including CNN-IP, computer vision engine, image-distortion-correction IPs, stereovision, classifier, and dense optical flow
- Integrated ISP enables a high level of integration for reduced cost. Supports 8 MPixel sensor and latest RGB-IR standard
- Integrates a full set of automotive peripherals including CAN, Ethernet AVB, and FlexRay
- Supporting metric targets for ASIL B (sensor layer, application processors) and ASIL C (real-time domain) safety goals
- Fully hardware and software compatible with the currently mass-produced R-Car V3H SoC version
- Open solution for front camera supported by Renesas and its ecosystem of partners
Specifications
- Four 1.0GHz Arm® Cortex®-A53 MPCore™ cores
- Dual lockstep 800MHz Arm® Cortex®-R7 core
- Memory controller for LPDDR4-3200 with 32 bits × 1 channel
- Image recognition engine (IMP-X5-V3H)
- Dedicated hardware accelerator for CNN, dense optical flow, stereovision, and object classification
- Dual image signal processor (ISP)
- Video output (4 lanes × 1 channel LVDS, 1 channel digital)
- Video input (4 lanes × 2 channels MIPI-CSI2, 2 channels digital)
- Gigabit Ethernet and AVB Ethernet
- PCI Express interface
R-Car V3H Block Diagram
Description
R-Car V3H delivers best-in-class TOPS/Watt for cutting-edge computer vision, supports the latest NCAP 2020 requirements, including driver monitoring systems, and provides a migration path toward NCAP 2025.
High-Performance Deep Learning
Building on the state-of-the-art recognition technology introduced with the R-Car V3H in February 2018, which includes integrated IP for convolutional neural networks (CNN), the updated R-Car V3H delivers 4 times the performance for CNN processing compared to the earlier version and is achieving up to overall 7.2 TOPS processing including all Computer Visions IPs– while maintaining low power consumption levels.
Cutting-edge Functional Safety (FuSa) Support
The highly integrated SoC supporting up to ASIL C metrics safety goals on real-time domain is reducing the need for an external safety microcontroller to manage sensor fusion and final decision actions. The R-Car V3H features a suite of proven IPs that support the perception stack, sensor fusion with radar and/or LiDAR, ISP with up to 8 MPixel cameras support, allowing OEMs and Tier 1s to achieve quicker time to market with lower Bill of Materials costs.
R-Car Software Development Kit
The R-Car SDK (Software Development Kit) is an easy-to-start and easy-to-use development framework for the R-Car V Series SoCs from the successful Renesas Autonomy Platform.
Parameters
| Attributes | Value |
|---|---|
| Parametric Applications | ADAS/AD |
| Real Time Core Freq / KDMIPS | CR7 Lockstep, 800MHz, 2k DMIPS |
| Application Core | 4x CA53, 1GHz/9,2k DMIPS |
| 3D GPU | No |
| Computer Vision / Frequency | 5CVe / 533MHz |
Package Options
| Pkg. Type | Lead Count (#) | Pitch (mm) |
|---|---|---|
| FCBGA | 538 | 0.8 |
Application Block Diagrams
 | Comprehensive ADAS & Autonomous Driving Hardware-Software System Complete hardware and software system for ADAS and automated driving including front camera, surround view, and LiDAR. |
 | Video Output Expansion for Surround View & AR HUD Integrated video output and AI for surround view and AR HUD with reduced cost and complexity. |
 | Infotainment & Automated Driving Systems with Fewer Components Automated driving system with configurable ICs for cost-effective integration and flexibility. |
 | Parking Assistance System with AHL Camera Automotive parking camera system with HD analog link cuts cabling cost and maintains zero latency. |
 | ADAS Front Camera System Scalable ADAS front camera system with NCAP-ready features and high-efficiency deep learning performance. |
Additional Applications
- Front Smart Cameras for NCAP
- Surround View with 3D Visualization
- Driver and Occupant Monitoring Systems
- Light Detection and Ranging (LiDAR) Systems
- Intelligent Survey Cameras
- Robotics
- Industrial Applications
Complete Your Design
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Renesas Boards & Kits
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R-Car V3H Starter Kit
Software development for advanced driver assistance systems (ADAS) and automated driving (AD) applications has been increasing in scale and complexity in recent years, in order to accelerate the development of autonomous driving and to develop new functionality that attractively differentiates... Read More
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EagleCAM is an open front camera solution featuring Renesas’ R-Car V3H and R-Car V3M Systems-on-Chip (SoCs). The all-in-one scalable camera platform targets the latest Euro NCAP and C-NCAP requirements, such as... Read More
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LUPA-Electronics GmbHRecommended Documents:
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ADAS & Automated Driving Solution R-Car V3H Development Board/Condor-I
The combination of the R-Car, the PMIC, and the clock generators provides a high-efficiency and high-end ADAS solution that supports image input, image output, and high-speed input/output IF.
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Development
Cogent Embedded ADAS Hardware Platform for R-Car
Cogent Embedded's ADAS hardware solutions provide proven, cost-effective video processing platforms for embedded vision development based on Renesas R-Car SoCs, including H3, M3, V3H, and V3M. The portfolio includes flexible ADAS video boxes, development kits, and reference platforms supporting common automotive interfaces such as GMSL and FPD-Link camera inputs, CAN/CAN-FD, Ethernet, USB, and video input/output-enabling rapid prototyping, evaluation, and validation of ADAS and autonomous driving systems, including the Kingfisher platform.
Provided By:
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Complementary Silicon Devices
DRAM & Flash Memory Solutions
Provides a comprehensive external memory solution for Renesas RZ and R‑Car families, supporting systems that require scalable off‑chip memory. Supported memory types include Serial NAND (Quad/Octal SPI, 512Mb to 8Gb, 1.8V and 3.3V, 100K/60K cycle endurance), ONFI NAND (ONFI 1.0, 1Gb to 8Gb, 1.8V and 3.3V, 100K/60K cycle endurance), DRAM (DDR2/3/4 from 512Mb to 32Gb and LPDDR2/3/4/4x/5/5x from 1Gb to 16Gb), and HyperRAM™ (HyperBus, 64Mb to 512Mb, 1.8V and 1.2V).
Provided By:
Winbond Electronics Corp. Japan
Development
Retronix V3H2 S-CMS Solution
A high-performance vision platform for electronic side mirrors, the Retronix V3H2 S-CMS Board is powered by the Renesas R-Car V3H2 SoC, delivering Level 2+ AI performance and ASIL C compliance. Supporting dual 3MP camera inputs and high-resolution outputs with <100ms latency, it integrates ISP tuning and multi-view switching to effectively eliminate blind spots. Designed for S-CMS, ADAS, and in-cabin monitoring applications.
Supported Products:
R-Car-V3HProvided By:
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- Software PackageR-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 PackageR-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 PackageConsulting and services on computer vision and machine learning to optimize the performance of Tier 1 and OEM algorithm on Renesas productsProvider: RT-RK
- Software PackageSVNet 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.Provider: StradVision, Inc.
- IDE and Coding ToolIntegrated Software Development Environment. Innovative and Open Development Environment in order to ease SW Development for Computer Vision and Deep Learning Algorithms.
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- Software PackageR-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 PackageR-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 PackageConsulting and services on computer vision and machine learning to optimize the performance of Tier 1 and OEM algorithm on Renesas productsProvider: RT-RK
- Software PackageSVNet 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.Provider: StradVision, Inc.
- IDE and Coding ToolIntegrated Software Development Environment. Innovative and Open Development Environment in order to ease SW Development for Computer Vision and Deep Learning Algorithms.View More (8)
Software & Tools (8)
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- Model - Power Calculator
- Model - Power Calculator
- Model - Thermal
- Model - S-parameter
- Model - IBISView More (8)
Simulation Models (8)
Development ToolCogent Embedded's 360° Surround View Development Tools are a comprehensive suite designed to accelerate the development of automotive surround view systems. The tools support key activities such as camera placement simulation, intrinsic and factory calibration, and system validation, helping OEMs and Tier-1 suppliers quickly prototype, evaluate, and deploy ...Provided By: Cogent Embedded Inc.- AIPerception algorithms with CNNs for ADAS, including dirt/soil detection, parking slot detection, curbstone detection, object detection, ultrasonic perception, and trailer assist. Also includes targetless calibration algorithms for surround-view systems, CMS, and related applications.Provided By: Cogent Embedded Inc.
- Application Specific SWCross platform Cinemo SDK, powering the smart cockpit with infotainment use cases like effortless onboarding, seamless media playback, BYOD, multi-screen, premium streaming, in-car gaming, and immersive entertainment.Provided By: Cinemo GmbH
- HMIHigh-performance, scalable and hardware-independent HMI software toolchain for embedded systems. Enables development of customizable 2D and 3D graphical user interfaces with a designer-centric workflow, WYSIWYG editor, no-coding methodology and AI-assisted Smart Importer. Integrated state machine and automated workflows accelerate development. Scales efficiently from low-end ...Provided By: Candera GmbH
- Application Specific SWAutomotive sound generation middleware that enables sound design and tuning on actual hardware or production-equivalent environments. Sound sources are adjusted and verified in real-time using the target device, reducing gaps between prototyping and mass production. Standardizes sound control in software to ensure consistent behavior across different microcontrollers or ...Provided By: CRI Middleware Co., Ltd.View More (35)
