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
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
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Comprehensive ADAS & Autonomous Driving Hardware-Software System
Complete hardware and software system for ADAS and automated driving including front camera, surround view, and LiDAR.
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Video Output Expansion for Surround View & AR HUD
Integrated video output and AI for surround view and AR HUD with reduced cost and complexity.
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Infotainment & Automated Driving Systems with Fewer Components
Automated driving system with configurable ICs for cost-effective integration and flexibility.
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Parking Assistance System with AHL Camera
Automotive parking camera system with HD analog link cuts cabling cost and maintains zero latency.
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ADAS Front Camera System
Scalable ADAS front camera system with NCAP-ready features and high-efficiency deep learning performance.
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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