特性
- 低功耗、高效率的图像识别引擎，提供高达 7.2 TOPS 的处理能力（对于 CNN，可达 3.7 TOPS），以及优化的性能/功率比平衡
- 用于应用程序编程的4核Arm® Cortex®-A53，以及用于运行 AUTOSAR 的双 Cortex R7 锁步内核，支持 ASIL D 开发流程，实现完整 SOC 的系统化功能
- 具备适用于高级感测和识别的全套视频处理和图像识别 IP，包括 CNN-IP、计算机视觉引擎、图像失真校正 IP、立体视觉、分类器和密集光流
- 集成式 ISP 实现了高度集成，从而降低系统成本 支持 8 MP 传感器和最新的 RGB-IR 标准
- 集成全套汽车外设，包括 CAN、以太网 AVB 和 FlexRay
- 支持 ASIL B（传感器层、应用处理器）和 ASIL C（实时域）安全目标的指标目标
- 完全兼容当前的量产级 R-Car V3H SoC 软硬件版本
- 瑞萨电子及其合作伙伴生态系统支持的前置摄像头开放式解决方案
产品规格
- 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
描述
R-Car V3H为先进的计算机视觉带来出色的TOPS/Watt，支持最新的NCAP 2020 要求，包括驾驶员监控系统，并提供向 NCAP 2025 迁移的路径。
高性能深度学习
基于先进识别技术，于 2018 年 2 月随 R-Car V3H 推出，其中包含卷积神经网络 (CNN) 适用的集成 IP。相较于早期版本，更新的 R-Car V3H 为 CNN 处理带来 4 倍的性能提升，并实现高达 7.2 TOPS 的整体处理能力，包括所有计算机视觉 IP，同时还能保持较低的功耗水平。
出色的 FuSa 支持
高度集成的 SoC 支持在实时领域的 ASIL C 安全目标，无需外部安全MCU，即可管理传感器融合和最终决策操作。 R-Car V3H 具备一整套成熟的 IP，其支持感知堆栈、传感器与雷达和/或激光雷达融合、支持 8 MP 摄像头的 ISP，这些让 OEM 和 Tier 1 能够以更低的物料成本和缩短上市时间。
R-Car 软件开发套件
全新的R-Car SDK（软件开发套件）是一套可以快速入门并且易于使用的开发框架，适用于R-Car V 系列 SOC。
产品参数
| 属性 | 值 |
|---|---|
| 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 |
封装选项
| Pkg. Type | Lead Count (#) | Pitch (mm) |
|---|---|---|
| FCBGA | 538 | 0.8 |
应用方框图
 | 环视和 AR HUD 的视频输出扩展 集成视频输出和 AI 功能，用于环视系统和 AR HUD，有效降低成本和系统复杂度。 |
 | 采用更少组件的信息娱乐与自动驾驶系统 自动驾驶系统，带有可配置 IC，可实现经济高效的集成和灵活性。 |
 | 带 AHL 摄像头的泊车辅助系统 具有高清模拟链路的汽车泊车摄像头系统降低了布线成本并保持零延迟。 |
 | 全面的 ADAS 系统和自动驾驶硬件软件系统 用于 ADAS 和自动驾驶的全面的硬件和软件系统，包含前置摄像头、环视影像和 LiDAR。 |
 | ADAS 前置摄像头系统 可扩展的 ADAS 前置摄像头系统，具备符合 NCAP 要求的功能和高效深度学习性能。 |
其他应用
- 用于 NCAP 的前置智能摄像头
- 3D 可视化环绕视图
- 驾驶员与乘员监控系统
- 激光雷达系统
- 智能测绘相机
- 机器人
- 工业应用
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| R8A77980A | Active | N/A | 缺货 | FCBGA | 538# |
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加载中
- 应用说明英语
- 手册 - 开发工具英语相关文件：
- 应用说明英语AI 生成的摘要: The document explains the functions, usage, and limitations of video capturing modules CSI2 and VIN in the third-generation R-Car series processors. It covers hardware configurations, including block diagrams and register settings, and provides practical examples for designing video capture systems. The guide details connections between CSI2, VIN, and other modules like UDS and VSPD, along with usage notes for proper integration. It targets engineers developing video capture functions using R-Car H3, M3-W, M3-N, V3M, V3H, E3, and D3 products, focusing on hardware and software development aspects.
- 应用说明英语AI 生成的摘要: The guide explains the functions, usage, and limitations of the display control modules, specifically the display unit (DU) and video signal processor (VSP2), in third-generation R-Car series processors. It covers hardware features, register configurations, practical use cases, and operating sequences to assist engineers in designing and developing display systems. The document targets engineers familiar with R-Car processor cores and electrical specifications, providing detailed information on multiple R-Car models and their display control implementations.
- 技术更新英语This technical update package includes all technical notifications related to the User’s Manual: Hardware for the R-Car Series 3rd Generation. It serves as a centralized resource for tracking updates, revisions, and clarifications to the hardware documentation, ensuring users have access to the most current technical information.相关文件：
- 器件勘误表英语
- 发行说明英语相关文件：
- 手册 - 硬件英语
- 应用说明英语AI 生成的摘要: The document explains how to set the DRAM refresh rate for third-generation R-Car series devices, focusing on adjusting refresh intervals based on DRAM specifications and operating temperatures. It details the use of DBSC registers REFINT and REFINTS to configure refresh timing, emphasizing proper settings to avoid system malfunctions and bandwidth issues. The note covers refresh interval adjustments for DDR3/DDR3L and LPDDR4 SDRAM, including dynamic switching using the LPDDR4 MR4 register at high temperatures. It highlights the impact of refresh intervals on system performance and bus bandwidth, recommending evaluation and QoS adjustments accordingly.相关文件：
- 应用说明英语AI 生成的摘要: The document provides comprehensive guidelines and a checklist for designing circuit boards using third-generation R-Car series products. It covers essential design points such as reset signal circuits, clock signal requirements, power supply design, high-speed interface considerations, and PCB wiring patterns. The document includes detailed technical advice, internal signal characteristics, timing, voltage levels, and peripheral device integration to ensure reliable hardware development. It also highlights the importance of verifying signal voltages, timing coordination, and component selection to prevent design issues. The checklist aids designers in confirming compliance with recommended practices and avoiding common pitfalls in R-Car circuit board design.相关文件：
- 工程英语相关文件：
- 应用说明英语AI 生成的摘要: The document details the power supply activation and de-activation sequences for third-generation R-Car series devices, covering the order and timing for turning power supplies on and off, including internal logic and IO power supplies. It explains reset signal handling during power transitions and highlights special considerations for devices with LPDDR4 DRAM. The document also outlines mode pin configurations for boot device selection, CPU boot options, clock settings, and interface selections, providing comprehensive guidance on hardware initialization and system startup/shutdown sequences.
- 应用说明英语AI 生成的摘要: The document explains how to modify LPDDR4 SDRAM initialization code to fit specific hardware configurations for various R-Car 3rd generation devices. It details the source files that users must customize, especially boot_init_dram_config.c, to set board type, clock, and DRAM speed. It covers adjusting refresh rates according to JEDEC standards to maintain DRAM stability under high temperatures. The document includes guidance on refresh interval settings and emphasizes the importance of proper customization for accurate DRAM detection and performance optimization.相关文件：
- 应用说明英语AI 生成的摘要: The third-generation R-Car series supports DRAM backup by placing connected DRAM (mainly LPDDR4 SDRAM) into self-refresh mode, allowing the system to enter a low-power state while retaining data. The backup function controls signals such as CKE and RESET# to manage DRAM self-refresh. Logic and IO power supplies can be turned off except for the DDR IO interface during backup. External control signals like MxBKUP maintain DRAM backup state even during hardware resets. The document details hardware configurations, control sequences, and power management strategies for various R-Car devices, including examples of circuit setups and power consumption estimation.
- 手册 - 硬件英语
- 手册 - 硬件英语User's Manual: RCG3 Hardware [r19uh0105ej]RECOMMENDED
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- 应用说明英语
- 应用说明英语AI 生成的摘要: The document explains the functions, usage, and limitations of video capturing modules CSI2 and VIN in the third-generation R-Car series processors. It covers hardware configurations, including block diagrams and register settings, and provides practical examples for designing video capture systems. The guide details connections between CSI2, VIN, and other modules like UDS and VSPD, along with usage notes for proper integration. It targets engineers developing video capture functions using R-Car H3, M3-W, M3-N, V3M, V3H, E3, and D3 products, focusing on hardware and software development aspects.
- 应用说明英语AI 生成的摘要: The guide explains the functions, usage, and limitations of the display control modules, specifically the display unit (DU) and video signal processor (VSP2), in third-generation R-Car series processors. It covers hardware features, register configurations, practical use cases, and operating sequences to assist engineers in designing and developing display systems. The document targets engineers familiar with R-Car processor cores and electrical specifications, providing detailed information on multiple R-Car models and their display control implementations.
- 发行说明英语相关文件：
- 应用说明英语AI 生成的摘要: The document explains how to set the DRAM refresh rate for third-generation R-Car series devices, focusing on adjusting refresh intervals based on DRAM specifications and operating temperatures. It details the use of DBSC registers REFINT and REFINTS to configure refresh timing, emphasizing proper settings to avoid system malfunctions and bandwidth issues. The note covers refresh interval adjustments for DDR3/DDR3L and LPDDR4 SDRAM, including dynamic switching using the LPDDR4 MR4 register at high temperatures. It highlights the impact of refresh intervals on system performance and bus bandwidth, recommending evaluation and QoS adjustments accordingly.相关文件：查看更多 (24)
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- 技术更新英语This technical update package includes all technical notifications related to the User’s Manual: Hardware for the R-Car Series 3rd Generation. It serves as a centralized resource for tracking updates, revisions, and clarifications to the hardware documentation, ensuring users have access to the most current technical information.相关文件：
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Renesas Boards & Kits
R-Car V3H 入门套件
近年来，在高级驾驶辅助系统 (ADAS) 和自动驾驶 (AD) 应用的软件开发上，其规模和复杂性都与日俱增，以便能够加快自动驾驶的发展，并开发出使车辆卓尔不群的新功能。 为了应对这一趋势，瑞萨电子开发了 R-Car 入门套件，用以支持汽车软件的开发。
凭借 R-Car V3H 入门套件，新车评估项目（NCAP，备注 1）、前置摄像头应用、环视系统和激光雷达 (LiDAR) 应用的开发得以简化并加速。 该入门套件基于 R-Car V3H 图像识别片上系统 (SoC)，针对日益增长的 NCAP 前置摄像头市场，带来低能耗与高性能的双重优势。
该 R-Car V3H 入门套件... 阅读详情
EagleCAM
有效
来自 LUPA 的 EagleCAM 智能摄像头平台
基于深度学习的智能摄像头即用开发环境
EagleCAM 是一款采用瑞萨电子 R-Car V3H 和 R-Car V3M 片上系统 (SoC) 的开放式前置摄像头解决方案。 此款一体式可扩展摄像头平台针对最新的欧洲 NCAP 和 C-NCAP 要求，如自动紧急制动、前方碰撞预警、车道保持辅助和交通标志识别。
ADAS 系统解决方案让 OEM 和 Tier 1 开发商能够通过集成专有或第三方软件（添加了额外的驾驶功能）来差异化和扩展其产品。
Provider:
LUPA-Electronics GmbH推荐文档：
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.
Partner Boards & Kits
Development
Cogent Embedded ADAS Hardware Platform for R-Car
NEWCogent 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:
Cogent Embedded Inc.
Development
Retronix V3H2 S-CMS Solution
NEWA 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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Partner Solutions
- 软件包英语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.
- 软件包英语Consulting and services on computer vision and machine learning to optimize the performance of Tier 1 and OEM algorithm on Renesas products提供商: RT-RK
- 软件包英语AVL Software and Functions GmbH provides System FuSa Consultancy for Renesas R-Car SOCs
- 软件包英语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.提供商: StradVision, Inc.
- 软件包中文专为瑞萨 R-Car 开发人员打造的 Codeplay 解决方案。 ComputeSuite for R-Car™ 让开发人员能够利用 OpenCL 和 SYCL 对 R-Car 硬件上的应用程序进行加速。
- 软件包中文GPU 版 (R-Car H3 / M3) • 4x 2MP @ 30fps 输入 • 4k @ 60fps 输出 • 碰撞色彩协调 • 动态 3D bowl、动态混合区 • 车辆透视（历史视图） • 检测功能 IMR 版 (R-Car V3H / V3M) • 4x 2MP 30fps 输入
- 软件包中文R-Car V3x ISP 解决方案、ISP 渠道 • 原始数据校正 • 镜头校正 • 降噪 • 颜色插值 • 演示 • 曝光控制 • 白平衡 • 色彩校正 • 色彩空间转换：RGB 或 YUV 输出 PC 调谐工具 • 实时调谐 • 离线调谐
- 封装外形图英语登录后下载 PDF 389 KB R-Car Gen3-20240108-ASOP-C20-066-R-CarV3H_SoC_outline_wLID_Rev.1.00.pdf Rev.202401.08 2020年7月21日
- 软件和工具 - 其他英语登录后下载 XLSM 334 KB R-Car Gen3-20240108-APDA-C21-0008_R-CarV3H_QoS_Glb_v1_1_v1p0.xlsm Rev.202401.08 2023年8月28日相关文件：
- 软件和工具 - 其他英语相关文件：
- 模型 - 功耗计算器英语相关文件：
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- 软件包英语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.
- 软件包英语Consulting and services on computer vision and machine learning to optimize the performance of Tier 1 and OEM algorithm on Renesas products提供商: RT-RK
- 软件包英语AVL Software and Functions GmbH provides System FuSa Consultancy for Renesas R-Car SOCs查看更多 (13)
软件与工具 (13)
- 示例代码英语相关文件：
样例程序 (1)
- Development Tool中文Cogent 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 ...提供方: Cogent Embedded Inc.
- AI中文Perception 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.提供方: Cogent Embedded Inc.
- Security & Safety中文EB tresos delivers a comprehensive product portfolio that forms the core technology for safe, secure, and flexible ECU software based on Classic AUTOSAR and ISO 26262 functional safety. The platform aligns with high-quality development standards, meeting Automotive SPICE Level 2 requirements and supporting stringent fail-safe and security demands ...
- OS and RTOS中文Classic AUTOSAR operating system fulfilling both safety and non-safety requirements and suitable for both single and multi-core.
- Application Specific SW中文EB Corbos AdaptiveCore, is based on the AUTOSAR adaptive platform standard. It contains hardware-independent adaptive platform functional clusters, the AUTOSAR runtime environment for adaptive applications (ARA), and enhancements made by Elektrobit that are compatible to AUTOSAR adaptive platform standards. It also delivers support for multiple POSIX operating systems, enables ...查看更多 (15)
Partner Solutions (15)
Macronix is a leading Non-Volatile Memory solution provider.
R-Car system can realize fastboot through extreme I/O speed.
Winbond Electronics Corp. Japan
Secure FOTA Demo on AWS - R-Car M3 and W77Q Secure Flash
AVL Software and Functions GmbH
AVL ECU Platform for Autonomous Driving
Hitachi Industry & Control Solutions demonstrates how two automotive cameras can be used in stereo vision mode to detect the distance of objects and at the same time recognize those objects as human beings. The demonstration uses several heterogeneous computer vision IPs integrated into Renesas R-Car V3H for real-time and power-efficient detection.
