Cloud-based device eval environment for automotive SoCs
The companies say that in April they will establish an Automotive SW Platform Lab tasked with the development of software and operating environments for Renesas automotive devices. The new Lab will support early development and ongoing operation of advanced driver-assistance systems (ADAS) and autonomous driving (AD) systems.
The companies will develop technologies aimed at software development for deep learning and building operating environments that have the ability to continuously update learned network models to maintain and enhance recognition accuracy and performance. As part of their collaboration, the companies announced the launch ofGENESIS for R-Car, a cloud-based evaluation environment for R-Car that supports early development of ADAS and AD systems.
新环境在选择设备时促进即时初始评估。它利用FixStars作为其平台的Genesis云的设备评估环境。
Poring over specifications is time consuming and inefficient, say the companies, while evaluation based on actual use cases is essential when selecting devices. Users typically need to obtain an evaluation board and basic software to evaluate devices, and technical expertise is also required in order to build an evaluation environment. The new GENESIS for R-Car cloud-based evaluation environment does not require specialized technical expertise.
GENESIS for R-Car lets engineers confirm the processing execution time in frames per second (fps) and recognition accuracy percentage of R-Car V3H’s CNN accelerators on sample images using generic CNN models, such as ResNet or MobileNet. It also allows engineers to select the device and network they wish to evaluate and perform operations remotely on an actual board.
工程师可以使用Genesis环境来确认评估结果在图像分类和对象检测等任务中，通过选项来使用自己的图像或视频数据，简化初始评估以确定R-Car V3H是否适合客户的系统。未来的计划包括将允许客户使用自己的CNN模型来评估的服务漏价。
The GENESIS for R-Car is available now.
