Fully activate the unmanned ecological potential from end-to-end Intel

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It is estimated that by 2025, the global driverless car market will reach 42 billion US dollars; in 2030, there will be 120 million unmanned cars on the road; in 2035, driverless cars will account for four points of global car sales. one. Let's take a look at the related content with the car electronics editor.

In a fast-growing market, the ability to provide end-to-end technical services from car to cloud for unmanned vehicles will be a key factor in winning the driverless market. As a result, more and more automakers are turning to leading technology companies, including Intel, to seek technical cooperation and explore innovative applications to effectively provide consumers with more powerful driverless technology and safer in the future. Driving environment and a pleasant driving experience.

As a data company that has always been at the forefront of technology, Intel's commitment to partners, the industry, and the global community is to accelerate unmanned driving, deliver end-to-end solutions, and lead the next generation of computing revolution. In the driverless arena, Intel has the unique advantage of providing end-to-end driverless solutions from the car to the network to the cloud, which is Intel's greatest strength.

From end to end, Intel drives autonomous driving

Unique technical advantages to help unmanned development

In the driverless arena, Intel has the unique advantage of providing end-to-end driverless solutions from cars to networks to the cloud. Intel offers a wide range of resources for driverless collaboration: in-car computing; powerful cloud and a machine learning solution; high-bandwidth, low-latency connection systems; powerful memory and FPGA technology; human-machine interfaces and security technologies. Currently, Intel is constantly investing in these technologies to achieve driverlessness.

In the driverless arena, Intel is able to provide end-to-end driverless solutions from cars to networks to the cloud.

Intel GO Autopilot Development Platform -- Building a Central Brain Center

As the level of driving automation increases, the car must have a clear understanding of the road ahead, evaluate the various possible scenarios, and take the best response. This requires the car to perform a large number of parallel and sequential calculations, processing millions of data points per second. The Intel GO Autopilot development platform provides a flexible architecture that includes a central processing unit (CPU), field programmable gate array (FPGA), and hardware acceleration technology for deep learning. This architecture combines unique, optimized parallelism and sequential processing capabilities to classify autonomous driving workloads as computational types that require efficient processing. By combining Intel Atom processors, Intel Xeon processors, and Intel Arria 10 FPGAs, Intel offers a more energy-efficient, well-designed solution.

5G network -- "high speed road" between car and data center

In the future, driverless cars must compete with billions of devices for network bandwidth. For transportation service providers, if you want to deploy new car services for infotainment and productivity with confidence and provide more secure wireless software updates, you must achieve data transfer speeds in milliseconds.

5G networking technology represents a major shift in the industry, requiring unprecedented integration between wireless connectivity, computing intelligence and distributed cloud resources from Intel. To this end, Intel is constantly breaking through the industry boundaries, and comprehensive cooperation with industry-leading vendors, including the launch of the industry's first 5G driverless platform - Intel GO, providing 5G mobile test platform to accelerate the development and testing of early prototype solutions Participate in the work of standards organizations such as 3GPP and define the 5G standard together with the industry.

Cloud and data processing analysis -- adding massive data

Driverless cars collect and analyze data at unprecedented speeds to improve driving safety, enhance in-car experience, enhance fleet management, and support new profitable business models such as shared rides and personalized in-vehicle infotainment. In the face of unprecedentedly large and complex data, data centers must have a stable deep learning model and powerful computing capabilities to ensure data accuracy and security at every step of driverless execution.

Jointly attack and jointly activate the unmanned ecological potential

In the driverless arena, Intel has built a broad ecosystem and is attracting more and more partners to join. In June of this year, Continental, the world's second-largest automaker, announced that it will join the autopilot platform consisting of BMW Group, Intel and Mobileye, which will play a key role in the commercialization of the new platform to other automakers. In May of this year, Delphi also joined the camp and will become a development partner and system integrator for driverless platforms. The platform was released last July and includes Level 3 to 5 autopilot technology and is open to numerous automotive suppliers and other companies that can benefit from autonomous machines and deep machine learning. The three sponsoring companies have established a common reference architecture that includes a range of deliverables and milestones that are expected to allow fully automated vehicles to be launched and mass-produced in 2021.

At the 2017 Baidu AI Developers Conference (CREATE 2017) held in Beijing yesterday, Baidu officially released the "Apollo Plan" for the driverless field. Intel also participated in this release as one of the important partners of the "Apollo Project". The ceremony, and said that in the future Intel will provide hardware support and a full range of end-to-end solutions to the program, benefiting users of the Apollo open platform.

The Apollo Program is designed to provide an open, complete and secure software platform for automotive and autonomous driving partners to help them quickly build their own complete autonomous driving system in conjunction with vehicle and hardware systems. In this program, Intel leverages the unique technological advantages of unmanned vehicles to deliver end-to-end driverless solutions from automotive to networking to the cloud. In addition, Intel plans to use an open source software platform such as Apollo on Intel's own Intel Go, giving full play to the combined advantages of the two, combining hardware and software to provide intelligent unmanned platforms for automakers and integrators. People drive the car on the road. Baidu once commented that Intel is "an indispensable partner of Baidu in the field of driverless driving."

The "Apollo Plan" to join Baidu has once again expanded Intel's unmanned ecosystem to save momentum for the full-scale vision of the driverless vision. Xu Weijie, Marketing Director of Intel's Drivers Division in China, said: "Baidu's Apollo program is a collaboration-centric, unmanned ecosystem that coincides with Intel's commitment to creating an open, collaborative, unmanned ecosystem. Driving the future, Intel will accelerate the adventurous era with a more comprehensive hardware and software platform, more optimized end-to-end technical support and broader ecological cooperation."

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