Renesas Develops Automotive SoC Functional Safety Technologies for CNN Accelerator Cores and ASIL D Control

时间： 2021-02-25 来源：Renesas

TOKYO, Japan ― RENESAS Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today announced the development of processor technologies for automotive systems-on-chip (SoCs) used in applications such as advanced driver assistance systems (ADAS) and autonomous driving (AD) systems that aim to optimize both performance and power efficiency while supporting a high level of functional safety. Renesas’ successful development announced today includes: 1) A convolutional neural network (CNN) hardware accelerator core that delivers a world-class combination of deep learning performance of 60.4 trillion operations per second (TOPS) and a power efficiency of 13.8 TOPS/W; 2) sophisticated safety mechanisms for fast detection of and response to random hardware failures. This makes it possible to create a highly power efficient detection mechanism with a high failure detection rate; 3) A mechanism that allows software tasks with different safety levels to operate in parallel on the SoC without interfering with each other, thereby bolstering functional safety for ASIL D control. These technologies have been applied in the company’s latest R-Car V3U automotive SoC.

Renesas presented these achievements at the International Solid-State Circuits Conference 2021 (ISSCC 2021), which took place February 13 to 22, 2021.

Applications such as next-generation ADAS and AD systems require outstanding deep learning performance of 60 TOPS or even 120 TOPS alongside power efficiency. In addition, since signal processing from object identification to the issuing of control instructions constitutes the bulk of the processing load in AD systems, achieving the functional safety equivalent to ASIL D – the strictest safety level defined in the ISO 26262 automotive safety standard – is a pressing issue. Renesas has developed new technologies to meet these needs, including a hardware accelerator that delivers outstanding CNN processing performance with superior power efficiency.

The newly-developed technologies used in the R-Car V3U SoC are described below.

1.Development of High-performance CNN Hardware Accelerator with Superior Power Efficiency

As the number of sensors utilized in next-generation ADAS and AD systems increases, more powerful CNN processing performance is required. In addition, there is a need to reduce the heat generated by power consumption to make possible electronics control units (ECUs) that are air-cooled, which brings advantages in weight and cost. Renesas has developed a CNN hardware accelerator core with superior deep learning performance and implemented three such cores, in a high-density configuration, on the R-Car V3U. In addition, the R-Car V3U has 2 megabytes (MB) of dedicated memory per CNN accelerator core, for a total of 6 MB of memory. This reduces data transfers between external DRAM and the CNN accelerator by more than 90 percent and successfully achieved a high CNN processing performance of 60.4 TOPS with best-in-class power efficiency of 13.8 TOPS/W (Note 1).

2.Development of Safety Mechanisms for ASIL D Systems Capable of Self-diagnosis

The ISO 26262 automotive functional safety standard specifies numerical targets (metrics) for various functional safety levels. The metrics for ASIL D, the highest functional safety level, are 99 percent or above for the single point fault metric (SPFM) and 90 percent or above for the latent fault metric (LFM), which means that an extremely high detection rate is required for random hardware failures. In addition, due to the higher level of involvement in vehicle operation of systems such as next-generation ADAS and AD systems, automotive SoCs overall have come to incorporate more functions subject to ASIL D requirements. Renesas has developed safety mechanisms for fast detection of and response to random hardware failures occurring in the SoC overall. Both reduced power consumption and a high failure detection rate are achieved by combining safety mechanisms suited to specific target functions. The incorporation of these mechanisms into the R-Car V3U is expected to bring the majority of the SoC’s signal processing into achieving the ASIL D metrics. An SoC that satisfies the ASIL D metrics is capable of independent self-diagnosis, and this reduces the complexity of fault tolerant design in an AD system.

3.Development of A Support Mechanism for Freedom from Interference (FFI) between Software Tasks

Achieving freedom from interference (FFI) between software tasks is an important aspect of meeting functional safety standards. When software components with different safety levels are present in the system, it is essential to prevent lower-level tasks from causing dependent failures in higher-level tasks. In addition, an issue of particular importance in SoCs is ensuring FFI when accessing control registers in various hardware modules and shared memory. Renesas has developed an FFI support mechanism that monitors all data flowing through interconnects in the SoC and blocks unauthorized access between tasks. This enables FFI between all tasks operating on the SoC, making it possible to realize an SoC for ASIL D applications capable of managing object identification, sensor fusion with radar or LiDAR, route planning, and issuing of control instructions with a single chip.

Note 1) The performance of the CNN hardware accelerator was measured on an optimized network.

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本文由星晴123转载自Renesas，原文标题为:Renesas Develops Automotive SoC Functional Safety Technologies for CNN Accelerator Cores and ASIL D Control Combining World-Class Performance and Power Efficiency，本站所有转载文章系出于传递更多信息之目的，且明确注明来源，不希望被转载的媒体或个人可与我们联系，我们将立即进行删除处理。

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【技术】瑞萨开发出了新的汽车SoC处理器技术，结合世界一流性能和能效的CNN加速器内核和ASIL D控制系统

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产品型号	品类	封装/外壳/尺寸	Power (V)	Grade certification standard	competitor	External High Speed OSC(MHz)	External Low Speed OSC(KHz)	Operating Temperature(℃)	Maximum Frequency(MHz)	SRAM（Kbyte）
SW31100	32位通用MCU	LQFP 64 (10*10, 0.5pitch)	3.9 to 5.5V	IEC 60730 supported	Toshiba	10MHz	32.768kHz	-40℃ ~ 85℃	35MHZ	12 Kbyte

选型表 - LX Semicon 立即选型

自主驾驶设计技术

本资料主要探讨了自动驾驶设计技术，包括全球自动驾驶汽车市场增长趋势、77至79 GHz汽车雷达雷达罩标志评估、车载雷达与拥挤频谱的潜在城市电子战场、77 GHz汽车雷达转向电路材料以及5G空中测试等。资料分析了自动驾驶汽车市场的发展前景，探讨了雷达模块设计中的挑战和解决方案，并介绍了5G测试中的技术和挑战。

ROGERS - RO4830,RO3003,RO3000,RO3003G2,RO4000,SG3000F,AMS-5700,ATS1000,KAPPA™ 438,RO4835,MS2090A,RTP5000

May 2019 - 技术文档代理服务技术支持采购服务

5G Cellular Routers Empowering the Development of Autonomous Driving Technology

With the rapid development of technology, autonomous driving technology has become a star in the field of intelligent transportation, and the connected vehicle ecosystem, as a bridge for information exchange between vehicles, roads, and pedestrians, is crucial for the widespread application of autonomous driving technology. In this context, the emergence of 5g cellular router has injected new vitality into the development of autonomous driving technology, providing a more efficient and secure wireless application solution for the connected vehicle ecosystem.

2024-07-24 - 原厂动态代理服务技术支持采购服务

5G Cellular Router Enable the Development of Autonomous Driving Technology

5g cellular router provide powerful support for the development of autonomous driving technology through their high performance, large bandwidth, low latency, and safety and reliability. This article explores how 5g cellular router provide powerful support for the development of autonomous driving technology.

2024-05-01 - 技术探讨代理服务技术支持采购服务

用于高级驾驶员辅助系统的微型MLV技术文件

本文探讨了高级驾驶辅助系统（ADAS）中使用的微型多层压敏电阻（MLV）在汽车电子设计中的应用。文章介绍了ADAS系统的重要性，以及传感器和汽车以太网在系统中的作用。重点讨论了MLV在抑制瞬态电压和静电放电（ESD）方面的性能，强调了其在提高车辆安全性和可靠性方面的关键作用。文章还比较了MLV与其他电压抑制器件的性能，并强调了KYOCERA AVX提供的MLV产品在汽车应用中的优势。

KYOCERA - MULTI-LAYER VARISTOR,MINIATURE MLVS,多用途运载工具,微型MLV,多层压敏电阻器,多层压敏可变电阻,MLVS,MULTILAYER VARISTOR,AUTOMOTIVE APPLICATIONS,高级驾驶员辅助系统,汽车应用,ADVANCED DRIVER ASSISTANCE SYSTEMS

2021/11/30 - 技术文档代理服务技术支持采购服务

连接和自动驾驶

本文探讨了汽车连接性和自动驾驶领域的先进电子技术，重点介绍了下一代汽车应用中的创新。内容涵盖车内娱乐与通信、xEV动力系统、域控制器架构、网络系统和车身电子、高级驾驶辅助系统以及底盘和安全系统。文章还分析了汽车行业的主要趋势和市场驱动因素，如连接性对自动驾驶的重要性、电子化程度的提高、共享出行等。此外，文章详细介绍了Littelfuse公司在连接性和ADAS领域的解决方案，包括多用途摄像头、传感器融合、V2X通信、eCall系统等，并提供了相应的产品系列和应用优势。

LITTELFUSE - FUSE,VARISTOR,DIODE ARRAY SCHOTTKY DIODE,聚合物ESD抑制器,PPTC,POLYMER ESD SUPPRESSOR,肖特基二极管,保险丝,压敏电阻,PPTC二极管阵列,高分子ESD,TVS DIODE,PPTC DIODE ARRAY,MOV,POLYMER ESD,PPTC变阻器,TVS二极管阵列,TVS二极管,PPTC VARISTOR,二极管阵列肖特基二极管,SCHOTTKY DIODE,TVS DIODE ARRAY,AQ24COM-01FTG,AQ24COM-01,AQ24CANFD-02HTG,AQ3045-01ETG,SESD,440A,MINIASMD,AXGD,AQHV15-01ETG,AUML,AQ7538-08UTG,438A,SZ1SMB,AQ24CANA,SZSMF4L,SLD8S,SZ1SMA,501A,AQ3102-02HTG,ASMD,AXGD10402,AQHV12-01ETG,AQ24CANFD,SP3522,AXGD1,AQ24COM-02HTG,AQ1205,AQ3118E,AQ1005,AQ3400-02UTG,DST,AQ2555,RF2943,AQ3102,441A,AQ3400,AQ3130E,AQ1003-01ETG,AQHV24-01ETG,437A,881,AQ3045,BATTERY STRAP,AQ24COM-02,AQ2555NUTG,自动驾驶,多功能照相机,智能信息娱乐,AUTOMOTIVE APPLICATIONS,V2X通信,SENSOR FUSION,连接性,域控制器,汽车应用,ADAS,AUTONOMOUS DRIVING,SMART INFOTAINMENT,MULTI-PURPOSE CAMERA,V2X COMMUNICATION,ECALL,DOMAIN CONTROLLER,雷达,RADAR,CONNECTIVITY,传感器融合

2023/7/6 - 应用及方案代理服务技术支持采购服务

How Does GNSS Technology Contribute to Autonomous Driving?

GNSS technology has brought a lot of convenience to our lives, for example, autonomous driving development and CORS covering every country, and this positive impact will be reflected in more aspects.

2023-05-24 - 技术探讨代理服务技术支持采购服务