The R-Car V3U SoC, based on the R-Car Gen 4 architecture, is the latest member of the open and innovative Renesas autonomy platform for ADAS and AD. The platform offers scalability from entry-level NCAP applications up to highly automated driving systems with the R-Car V3U providing up to 96k DMIPS and 60TOPS. The SoC integrates multiple sophisticated safety mechanisms that provide high coverage with fast detection and response for random hardware faults, achieving ASIL D metrics for the majority of the SoC processing chain, as well as reducing design complexity, time to market and system cost. It delivers highly flexible DNN (Deep Neural Processing) and AI machine learning functions. Its flexible architecture can handle any state-of-the-art neural networks providing up to 60 TOPS with low power consumption allowing air cooling systems. The R-Car V3U comes with an open and integrated development environment that enables customers to take advantage of the R-Car platform’s built-in hardware benefits, as well as low power consumption and deterministic real-time software to enable fast time-to-market for computer vision and deep learning-based solutions.
|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 license for e² studio free of charge. For a commercial license, please contact a Renesas representative.||IDE and Coding Tool||Renesas|
|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.|
|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|
|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|
The 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...
Schematic symbols, PCB footprints, and 3D CAD models from SamacSys can be found by clicking on products in the Product Options table. If a symbol or model isn't available, it can be requested directly from the website.
|OEM guide for ADAS development: As automotive electronics becomes more complex, the quest is on for economical ways to cover the widest possible range of requirements.||External Link|
|Scalable platform meets demand for high computing performance||External Link|
|Für ADAS und autonomes Fahren: Renesas stellt 12-nm-ASIL-D-SoC vor||External Link|
|R-Car SoCs for the next generation of ADAS & Automated Driving||External Link|
|Renesas announces ASIL D SoC for ADAS||External Link|
|ADAS development with R-Car V3U ASIL D System on Chip||External Link|
|Renesas Accelerates ADAS and Automated Driving Development with Best-in-Class R-Car V3U ASIL D System on Chip||External Link|
Artificial Intelligence (AI) and Machine Learning (ML) algorithms such as neural networks play a key role in achieving automated driving capabilities. The R-Car V3U system-on-chip (SoC) offers 60 Tera Operations Per Second (TOPS) of neural network accelerator performance. The V3U offers this high performance at an industry's best TOPS per watt power consumption. Renesas offers an extensive and highly flexible toolchain for neural network development for easy embedded deployment. And, e2 studio, an Eclipsed-based integrated development environment (IDE) is offered for efficient software development. The R-Car V3U development boards and environment are available for the development of ADAS and automated driving vehicle applications.