Overview

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. 

Cuting-edge FuSa Support
The highly integrated SoC supporting up to ASIL C Metrics safety goals on realtime 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 new R-Car SDK (Software Development Kit) is an easy to start & easy to use development framework for the R-Car V Series SOCs from the successful Renesas Autonomy Platform.

  • 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 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 (realtime 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

Partner Video: eCube Development Platform based on R-Car V3H for Intelligent Cameras based on Deep Learning (eSoftThings)

Documentation

Title Type Date
PDF2.68 MB
Manual - Hardware
PDF40.63 MB
Manual - Hardware
PDF1.33 MB
Application Note
PDF2.07 MB
Application Note
PDF1.19 MB
Application Note
PDF685 KB
Application Note
PDF299 KB
Application Note
PDF871 KB
Application Note
PDF966 KB
Application Note
PDF2.12 MB
Application Note
PDF387 KB
Application Note
PDF3.16 MB
Datasheet
PDF1.56 MB
Datasheet
PDF890 KB
Flyer
XLSX741 KB
Guide
ZIP31.44 MB
Guide
XLSX93 KB
Guide
PDF1.27 MB
Guide
PDF678 KB
Guide
PDF635 KB
Manual - Hardware

Design & Development

Software & Tool Pages

Title Type Company
e² studio for R-CarIntegrated Software Development Environment. Innovative and Open Development Environment in order to ease SW Development for Computer Vision and Deep Learning Algorithms. New developers can download an evaluation licence for e² studio free of charge. For a commercial licence, please contact a Renesas representative. IDE and Coding Tool Renesas
3D Surround View With and Without GPUGPU 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 AlgoluxThe 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 SolutionAutobrains provides video perception SW. Revolutionary, self-learning AI leveraging R-Car V Series assets. Software Package AutoBrains Technologies Ltd.
Automotive SoC Consulting ServiceR-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/HDriver 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
INTEGRITY® RTOSThe INTEGRITY® RTOS is built around a partitioning architecture to provide embedded systems with total reliability, absolute security, and maximum real-time performance. Software Package Green Hills Software LLC
ISP Solutions for R-Car V3H & R-Car V3MR-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.
Perception SW Technology for Automated DrivingBrodmann17 offers patented, software-only perception technology for automated driving, ushering in the next generation of perception solutions. Brodmann17’s patented technology relies on the company’s own IP, built from the ground up for edge devices without depending on open source. Software Package Brodmann17 Ltd.
QNX's ASIL Real Time Operating SystemBlackberry provides ASIL compliant RTOS and BSP stack optimised for Renesas R-Car V3H & R-Car V3M. Software Package BlackBerry Limited
R-Car Hardware using OpenCL and SYCLCodeplay'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 CNNConsulting 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 Automotive LLC
SVNet, Deep Learning Embedded Software by StradvisionSVNet is a deep learning and camera-based embedded perception software for ADAS & 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.
Safety Support Program Consultancy for R-Car Automotive ApplicationsAVL Software and Functions GmbH provides System FuSa Consultancy for Renesas R-Car SOCs Software Package AVL Software and Functions GmbH

Sample Code

Boards & Kits

Videos & Training

Autonomous AI Realized with Low Power Consumption on R-Car V3H (Cortica)

Cortica demonstrates at their booth and in-vehicle their unsupervised learning technology using the highly power-efficient CNN IP available in Renesas’ R-Car V3H SoC for premium front cameras, which is also equipped in the R-Car V3M for high-volume NCAP front cameras. Cortica demonstrates excellent detection of objects, whereas the implementation consumes very low power consumption on the scalable Renesas R-Car V3M and R-Car V3H SoCs.

News & Blog Posts

Renesas Accelerates Deep Learning Development for ADAS and Automated Driving Applications News
Accelerating NCAP2025 Development for Smart Cameras with Open Platform Turnkey Solutions Accelerating NCAP2025 Development for Smart Cameras with Open Platform Turnkey Solutions Blog Post Jun 3, 2021
Renesas Solutions for Driver & Occupant Monitoring System Renesas Solutions for Driver & Occupant Monitoring System Blog Post May 19, 2021
Renesas Introduces Complete Power and Functional Safety Solution for R-Car V3H ADAS Camera Systems News
Renesas Updates Popular R-Car V3H with Improved Deep Learning Performance for Latest NCAP Requirements Including Driver and Occupant Monitoring Systems News
Renesas Electronics and StradVision Collaborate on Smart Camera Development for Next-Generation ADAS News
Renesas and Magna Bring Advanced Safety Features to More Vehicle Segments and Consumers News
Renesas Electronics Delivers R-Car V3H System-On-Chip for Automotive Front Cameras in Level 3 and Level 4 Autonomous Vehicles News
Renesas Electronics Accelerates NCAP Front Camera Application Development for Entry and Mid-Range Cars with Comprehensive R-Car V3M-Based Solution News
Renesas Electronics and ASTC Accelerate Software Development for Smart Cameras with Virtual Platform for R-Car V3M News
Renesas Electronics Unveils Integrated Software Development Environment for ADAS and Automated Driving News
Renesas Electronics and Cogent Embedded Collaborate to Make 3D Surround View Parking Assist System Standard in All New Cars News
Renesas Electronics and Codeplay Collaborate on OpenCL™ and SYCL™ for ADAS Solutions News
Renesas Electronics Unveils the Renesas Autonomy™, Open, Innovative and Trusted Platform to Further Extend its Commitment to ADAS and Automated Driving News

Specification

  • 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