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.

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 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

Documentation & Downloads

Title Other Languages Type Format File Size Date
Datasheets & Errata
R-Car V3H2 Electrical Characteristic Datasheet PDF 3.16 MB
R-Car V3H Electrical Characteristic Datasheet PDF 1.56 MB
User Guides & Manuals
R-Car V3H2 User's Manual Add-On Manual PDF 28.61 MB
R-Car V3H Pin Assignment Guide XLSX 741 KB
V3H SoC Design Guide Model: 3D Products Model, BSDL, IBIS, PCB Design Guide, PKG Tray Soldering, Power Calculation Sheet, Thermal Simulation Guide ZIP 31.44 MB
R-Car V3H2 Pin Assignment Guide XLSX 93 KB
R-Car Initialization Sequence of LPDDR4 Interface Guide PDF 1.27 MB
R-Car V3H Pin Configuration Guide PDF 678 KB
R-Car V3H User's Manual Manual PDF 42.00 MB
Application Notes & White Papers
R-Car Series, 3rd Generation QoS System Description & Configuration Application Note PDF 1.33 MB
R-Car Series, 3rd Generation Board Circuit Design Checklist Application Note PDF 2.07 MB
R-Car Series, 3rd Generation Functions, Usage, and Restrictions of the Video Capturing Based on CSI2 Application Note PDF 685 KB
R-Car Series, 3rd Generation Functions, Usage, and Restrictions of the Display Control Modules Application Note PDF 1.19 MB
R-Car Series, 3rd Generation DRAM Refresh Rate Setting Application Notes Application Note PDF 299 KB
R-Car Series, 3rd Generation Booting Sequences Application Note PDF 871 KB
R-Car DRAM Backup Function Application Note PDF 966 KB
R-Car Series, 3rd Generation Guide on the Mechanical Handling of Renesas FCBGAs Application Note PDF 2.12 MB
R-Car Series, 3rd Generation Media Independent Interface (MII) Connection With an External PHY or Switch Application Note PDF 387 KB
Downloads
Renesas R-Car CNN Toolchain Software 7Z 773.75 MB
R-Car V3M/V3H Reference Files for Linux Environment Software ZIP 589.91 MB
Linux BSP for R-Car V3M/V3H, Software Package Software ZIP 144.26 MB
R-Car V3H DRAM Refresh Rate Setting Sample Software Sample Code ZIP 2 KB
Autosar MCAL for R-Car V3H, Software Package Software ZIP 83.92 MB
Other
Renesas R-Car V3H Flyer PDF 890 KB
- Linux BSP for R-Car V3M/V3H, Build Information Report PDF 8.15 MB
- Autosar MCAL for R-Car V3H, Release Note Release Note PDF 982 KB

Software & Tool Pages

Title Type Description Company
e² studio for R-Car IDE and Coding Tool Integrated Software Development Environment for ADAS and Automated Driving. 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. Renesas
Driver Monitoring Solution on R-Car - Vision based ADAS algorithms development on R-Car V3 M/H Software Package 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. PathPartner Technology Pvt Ltd
Optimization of ADAS CV Algorithms & CNN Software Package Going from prototype: 1-2 fps to real-time performance: 30-60 fps by efficiently and configurably using available IMP-X5+ resources RT-RK Automotive LLC
SVNet, Deep Learning Embedded SW Running on R-Car V3H Software Package SVNet 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. StradVision, Inc.
3D Surround View With and Without GPU Software Package 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 Cogent Embedded Inc.
ISP Solutions for R-Car V3H & R-Car V3M Software Package 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 Cogent Embedded Inc.
INTEGRITY® RTOS Software Package The INTEGRITY® RTOS is built around a partitioning architecture to provide embedded systems with total reliability, absolute security, and maximum real-time performance. Green Hills Software LLC
QNX's ASIL Real Time Operating System Software Package Blackberry provides ASIL compliant RTOS and BSP stack optimised for Renesas R-Car V3H & R-Car V3M. BlackBerry Limited
R-Car Hardware using OpenCL and SYCL Software Package 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. Codeplay Software
Perception SW Technology for Automated Driving Software Package Brodmann17 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. Brodmann17 Ltd.
Cartex Platform Software Package Cartex 1.0 is driving the next generation of ADAS and AV. Running directly on the Renesas V3H R-Car System on Chip (SoC), Cartex is enabling a variety of ADAS solutions.
Cartica AI Ltd.

Boards & Kits

Part Number Title Type Company
Y-ASK-RCAR-V3H R-Car V3H Starter Kit Starter Renesas
RTP0RC77980SEBS012SA01 ADAS & Automated Driving Solution R-Car V3H Reference Board / Condor-I Reference Renesas
eCUBE eCUBE Development Platform by eSoftThings Development eSoftThings
EagleCAM EagleCAM Smart Camera Platform by LUPA Development LUPA-Electronics GmbH

News & Additional Resources

Type Date Sort ascending
Renesas Introduces Complete Power and Functional Safety Solution for R-Car V3H ADAS Camera Systems News Mar 30, 2021
Renesas Updates Popular R-Car V3H with Improved Deep Learning Performance for Latest NCAP Requirements Including Driver and Occupant Monitoring Systems News Feb 9, 2021
V3H Starter Kit Wiki on eLinux.org External Link Oct 23, 2020
R-Car Consortium Page Jul 15, 2020
Phantom AI Collaborates with Renesas on Full Stack ADAS Development External Link Jun 17, 2020
Renesas Electronics and StradVision Collaborate on Smart Camera Development for Next-Generation ADAS News Sep 26, 2019
Renesas and Magna Bring Advanced Safety Features to More Vehicle Segments and Consumers News May 17, 2018
Renesas Electronics Delivers R-Car V3H System-On-Chip for Automotive Front Cameras in Level 3 and Level 4 Autonomous Vehicles News Feb 28, 2018
Renesas Electronics Accelerates NCAP Front Camera Application Development for Entry and Mid-Range Cars with Comprehensive R-Car V3M-Based Solution News Dec 21, 2017
Renesas Electronics and ASTC Accelerate Software Development for Smart Cameras with Virtual Platform for R-Car V3M News Oct 24, 2017
Renesas Electronics Unveils Integrated Software Development Environment for ADAS and Automated Driving News Oct 19, 2017
Renesas Electronics and Cogent Embedded Collaborate to Make 3D Surround View Parking Assist System Standard in All New Cars News Sep 14, 2017
Renesas Electronics and Codeplay Collaborate on OpenCL™ and SYCL™ for ADAS Solutions News Sep 12, 2017
Renesas Electronics Unveils the Renesas Autonomy™, Open, Innovative and Trusted Platform to Further Extend its Commitment to ADAS and Automated Driving News Apr 11, 2017

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