ARM joins China Mobile Open NFV Lab

On April 26, China Mobile announced the signing of MOU with the third batch of four China Mobile Open NFV laboratories, including UMCloud|MiranTIs China, ARM, Cavium and Enea. The four partners will follow up the test at the China Mobile Open NFV Lab to test multiple NFV (Network Function Virtualization) typical scenarios and typical services.

China Mobile Open NFV Lab was established in early 2015 to provide an international and open test environment for the industry. At the same time, the lab was certified by the OPNFV open source organization and became the first OPNFV open laboratory in Asia. In July 2015, China Mobile signed MOUs with the first nine partners including Huawei, Red Hat and Wind River. In January 2016, China Mobile once again signed MOUs with four second partners including Ericsson and H3. The lab currently has 17 partners covering IT and CT, including chip vendors, hardware vendors, NFV platform vendors, virtual network element manufacturers and test instrument manufacturers.

Since the establishment of the laboratory, it has made a number of progress, completed multi-vendor vIMS, vEPC and other tests, promoted the testing and integration of the OPNFV open source platform and several commercial NFV platforms, and exported the test results to China Mobile's NovoNet trial network. Subsequent large-scale test validation.

About NFV

NFV is the abbreviation of Network FuncTIon VirtualizaTIon, which is the virtualization of network functions. NFV is a combination of IT and CT technology. It uses virtualization technology to change the way traditional telecom network elements are implemented from a single vendor to hardware. The network elements run on a common virtualization platform in pure software. This facilitates agile business up-line and functional iterations, tiered facility management and network maintenance, dynamic resource scheduling, and device energy savings. NFV will make the cost of network construction and maintenance lower, and shorten the time-to-line and upgrade time of new services, and improve user satisfaction.


On April 25th, ARM officially released the Mali-C71 Image Signal Processor (ISP) today to address the challenges of automotive image processing, including rapid processing and analysis of images under extreme conditions, meeting stringent automotive safety standards. Design requirements. The Mali-C71 is also the first product in the ARM Mali Camera series.

As technology evolves, cars have become a dynamic platform for innovation, not only changing the driver's experience, but also making true autonomous driving closer to us. Advanced Driver Assistance Systems (ADAS) is an indispensable key to the evolution of this technology. Some of the latest ADAS applications, such as more advanced rearview mirrors, driver fatigue detection, and pedestrian protection systems, place higher demands on in-vehicle image processing. These technologies require a larger number of in-car cameras. According to Strategy AnalyTIcs, in the next few years, most of the high-end cars on the market will be equipped with up to 12 cameras.

However, this type of complex camera technology must be able to quickly process and analyze images under extreme conditions and meet the design requirements of stringent automotive safety standards. Integrating standard camera technology used in smartphones or consumer video cameras into cars is not feasible. The ARM Mali-C71 was created to meet such challenges, and its design process fully took into account the needs of the ADAS System-on-Chip (SoC), including adjustments based on extreme lighting and climatic conditions.

The role of the Image Signal Processor (ISP) is changing

As the number of cameras in each car increases and sensor fusion technology becomes more intelligent, the ISP's function is to process the raw pixels, convert them into high-quality images for display, encode them and use them by computer The visual algorithm is further processed - it is being concentrated on the ADAS SoC. Therefore, SoCs need to be able to manage multiple cameras to meet the requirements for automotive reliability and the highest level of safety. This requires a computer vision processing solution that has both built-in functional safety features and the ability to process parallel signals. It has been difficult to achieve this approach on a single SoC. Now, all this has changed.

Mali-C71: Automotive grade clarity and reliability

Car cameras need to provide the highest level of clarity and reliability. Image quality is of paramount importance when the camera output is used for display. The picture below shows an example of a rearview mirror. The Mali-C71 can provide an ultra-wide dynamic range (UWDR) of up to 24 stops (24 stops) – in some cases, the details are even beyond the human eye. The range that can be identified. In comparison, the best SLR cameras can only reach a dynamic range of about 15 steps. The Mali-C71 is capable of multiple exposure processing, denoising and synthesizing the acquired data to obtain an ultra-wide dynamic range image and sending it to a display device or computer vision engine.

Caption: In order to detect pedestrians standing in the shadows with sufficient light, the camera must have sufficient dynamic range to identify all elements in the acquired scene.

When the camera is used as an input to an ADAS—for example, as part of a pedestrian protection or driver fatigue detection system—it needs to meet the most stringent reliability and functional safety standards. The Mali-C71 is designed to meet functional safety standards including ISO26262, ASIL D, IEC 61508 and SIL3 and will provide a security package for these standards. The image signal processor has more than 300 dedicated fault detection circuits that provide low lag and advanced error detection. ARM provides all reference software for controlling image signal processors, sensors, auto white balance, and auto exposure, and plans to develop complete, ASIL compliant automotive software.

The next generation of image signal processors not only generates data that can be used for display, but also processes the data for use in a computer vision engine, and both must be synchronized. These tasks have very different needs, and the Mali-C71 successfully implements two different image processing results using a single pipeline with a single hardware IP.

The automotive industry is continuing to accelerate its vision of fully autonomous driving. The Mali-C71 will provide the high-quality image output needed to help the driver make the right choices quickly; it will also provide reliable data to the computer vision engine in sync, helping it make safe decisions when controlling the car.

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