The R-Car platform addresses a wide range of automotive applications such as Automated Driving or ADAS, connected gateway, in-vehicle infotainment, cockpit, and dashboard. It is designed for the next generation of automotive computing for the age of autonomous vehicles. Cars have come to be called "drivable computers." Countless LAN-connected MCUs acquire data from actuators and sensors, and perform optimal processing to create earth-friendly cars. Automated driving, advanced navigation systems, and infotainment systems not only make driving more pleasant; they also provide safety with danger avoidance systems using video recognition based on cutting-edge embedded Artificial Intelligence technologies and support the ISO 26262 safety standard up to ASIL D.
The scalable R-Car hardware platform and flexible software platform cover the full product range, from the premium class to the entry-level. Plug-ins are available for multiple open-source software tools.
The R-Car Consortium brings together system integrators, middleware/application developers, and operating system and tools vendors who are developing solutions for the car information system (CIS) market.
Renesas, along with our partners, offer a large variety of software and development tools to support the large-scale and complex software development needs demanded by the automotive market today.
|R-Car S4||R-Car S4 enables the launching of Car Server/CoGW with high-performance, high-speed networking, high-security, and high-functional safety levels that are required as E/E architectures evolve into domains and zones.|
|The R-Car H3e is an automotive SOC for high-end computing, able to process large volumes of information from vehicle sensors accurately in real-time. Its applications are broad, including for example in-vehicle infotainment systems or integrated cockpit.
A 2GHz version (H3e-2G) is also available, providing increased CPU power.
|The R-Car H3Ne is a scaled-down version of H3e, with similar positioning. It has more narrow data throughput and some peripherals optimized out. Its applications are broad, including for example In-Vehicle Infotainment systems or integrated cockpit.|
|The R-Car M3e can be used in a wide range of automotive applications requiring medium-class computing, including for example in-vehicle infotainment, low-end integrated cockpit, connected gateway, and central server.
A 2GHz version (M3e-2G) is also available, providing increased CPU power.
|The R-Car M3Ne optimizes out the functions and performance of the R-Car M3e. It can be used in a wide range of automotive applications requiring medium-class computing, including for example entry in-vehicle infotainment systems, digital clusters and connected gateway.
A 2GHz version (M3Ne-2G) is also available, providing increased CPU power.
|The R-Car E3e SOC is suitable for entry-level applications with powerful graphics and multimedia support. It can realize for example digital instrument clusters, display audio systems, driver monitoring systems, or LED matrix lighting.|
|The R-Car D3e SOC has been developed for full graphics cluster systems. It performs high graphics rendering and realizes low-end system solutions.|
|R-Car V3M||The R-Car V3M is an SoC that is primarily aimed at front camera applications but also surround view systems or even lidars, and that enables NCAP (New Car Assessment Program) features. It offers a highly-efficient image recognition engine, supports functional safety, and a high level of integration for reduced cost.|
|R-Car V3H||The 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.|
|R-Car V4H||R-Car V4H system-on-chip (SoC) for central processing in advanced driver-assistance (ADAS) and automated driving (AD) solutions. The R-Car V4H achieves deep learning performance of up to 34 TOPS (Tera Operations Per Second), enabling high-speed image recognition and processing of surrounding objects by automotive cameras, radar, and lidar.|
Note: Many documents show R-Car Gen3; they equally apply to Gen3e. In case of difference, a description of the differences is available.
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|Inventec and Renesas to Jointly Develop Proof-of-Concept for Automotive Gateways||News||Sep 11, 2023|
|Renesas Introduces R-Car S4 Starter Kit That Enables Rapid Software Development for Automotive Gateway Systems||News||Jul 11, 2023|
|Renesas Develops Technologies for Automotive Communication Gateway SoCs||News||Feb 22, 2023|
|Anyone Can Easily Start, Introducing Renesas' New Development Environment R-Car S4 Whitebox SDK||Blog Post||Feb 1, 2023|
|Renesas Strategy for Automotive Software||Blog Post||Jan 31, 2023|
|Introduction of R-Car DNN Simulator||Blog Post||Dec 20, 2022|
|Enable Application Design without Considering Device Configuration with Distributed Processing Software for Multiple Devices||Blog Post||Dec 15, 2022|
|Renesas and Fixstars to Jointly Develop Tools Suite that Optimizes AD and ADAS AI Software for R-Car SoCs||News||Dec 15, 2022|
|Approach to Remote Development Environment for Automotive Software||Blog Post||Sep 15, 2022|
|The Virtual Turnkey Platform that Accelerates E/E Architecture Development||Blog Post||May 25, 2022|
|Multi-Core Debug and Trace Tool for R-Car S4||Blog Post||May 11, 2022|
|Renesas Next Generation Automotive Vehicle Computer VC4 – A Winning Combo Solution with R-Car Ecosystem Partner Support||Blog Post||Apr 14, 2022|
|Renesas Launches Virtual Development Environment for Fast Automotive Application Software Development and Evaluation||News||Apr 12, 2022|
|Renesas Unveils R-Car V4H for Automated Driving Level 2+ / Level 3 to Support High-Volume Vehicle Production in 2024||News||Mar 8, 2022|
|Renesas’ Innovative Automotive Chips Drive Next-Generation Multimedia System for Toyota Lexus||News||Oct 26, 2021|
|Renesas Unveils Automotive Gateway Solution Based on New R-Car S4 SoCs and PMICs for Next-Generation Vehicle Computers||News||Oct 6, 2021|
|Renesas Accelerates Deep Learning Development for ADAS and Automated Driving Applications||News||Sep 21, 2021|
|R-Car Market Place for Supporting R-Car User Timely Mobility System Development||Blog Post||Jul 28, 2021|
|Renesas’ New R-Car Gen3e Series Upgrades the Popular R-Car Gen3 for Automotive Infotainment, Cockpit and Digital Cluster||Blog Post||Jul 21, 2021|
|Renesas Launches R-Car Gen3e With Up to 20 Percent Higher CPU Speed for Automotive Infotainment, Cockpit, and Digital Cluster Systems||News||Jul 20, 2021|
|Accelerating NCAP 2025 Development for Smart Cameras with Open Platform Turnkey Solutions||Blog Post||Jun 3, 2021|
|The Trend of Deep Learning Architecture in Next Generation Autonomous Driving Cars||Blog Post||May 26, 2021|
|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||Mar 30, 2021|
|Renesas and LUPA Accelerate Automotive Smart Camera Development with Open Platform Turnkey Solutions||News||Feb 24, 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|
|Renesas Accelerates ADAS and Automated Driving Development with Best-in-Class R-Car V3U ASIL D System on Chip||News||Dec 17, 2020|