At the outbreak of the third technological revolution, Intel created a new era of personal computers and brought Intelinside's ideas to the world. Today, Intel is focusing on the four major trends and eight areas in the upcoming era of intelligent interconnection of all things. In order to win the final victory, it is no longer necessary to go it alone. The key lies in how to choose a good teammate. Intel is doing this, especially in the driverless area.
Teamwork is the correct posture for unmanned driving
In the area of ​​unmanned vehicles, there is a phenomenon where Internet companies are building cars. At the same time, traditional car manufacturers are embracing technology and touching the Internet. There are two reasons for this phenomenon: one is that the driver is not a single car, but a core technology that integrates big data, artificial intelligence, 5G, human-machine interaction, and other fields; the other is To truly develop the driverless cars on the road, it is not a task that a company can accomplish independently in the short term.
Although Tesla and Ford are developing proprietary driverless systems, more car companies have chosen to cooperate with industry chain suppliers and Intel’s technology giants to jointly promote the driverless process. Intel understands the reasoning behind this. Over the years, its rich eco-partners' cooperation experience has prompted Intel to become adept at driving alone.
At the beginning of 2017 at CES, Intel launched the Intel GO driverless development platform based on Intel's end-to-end architecture, and even attracted the participation of established manufacturers such as Daimler and GM. This is also the industry's first 5G platform for unmanned driving. And a complete scalable end-to-end system. Coincidentally, as early as July 2016, Intel also announced cooperation with BMW and Mobileye in order to fully realize unmanned driving, and plans to fully implement mass production of highly autonomous unmanned solutions by 2021. In May of this year, with the addition of system integrator Delphi, the solutions provided by Intel and BMW and Mobileye can be integrated into the automotive architecture of OEMs. This will undoubtedly accelerate the market for driverless solutions. Landing process.
It can be seen that the Intel-centered unmanned clan has begun to take shape, but Intel chose to go further. In order to build a powerful unmanned team, the company will expand its ecological partners directly through mergers and acquisitions. For example, for a key factor map data that is indispensable for driverless driving, Intel acquired a 15% stake in HERE, a global digital map and location service provider.
On March 13 this year, Intel acquired the Israeli ADAS Mobileye at a price of 15.3 billion US dollars, becoming the second-largest acquisition deal since Intel’s establishment in 48 years. This has led Intel to indirectly concede with automakers working with Mobileye, including General Motors, Volvo and so on. In addition, whether it is the acquisition of machine vision company Movidius, or even Yogitech, a company that provides security tools for self-driving car chips, it proves that Intel's re-emphasis on driverlessness also makes Intel more confident.
In fact, from the very beginning, Intel recognized the complexity of driverless driving. It was not the splicing of a single technology and equipment. It was an ecosystem of multiple automobile manufacturers and suppliers. It was the driverless driver. The best way for cost-effective, quick access to market solutions.
What is Intel's role?
In the eyes of Intel, the data is the new driverless "oil", and the future car is a data center that is moving at all times. Earlier, Intel predicted that there will be 50 billion connected smart devices in 2020, while a driverless driver Cars generate 4000 GB of data each day, which has prompted the automotive and automotive industries to focus more on data and computing capabilities. As a data company driving cloud computing and smart connected devices, Intel not only has high-speed network transmission and back-end big data mining capabilities, but also integrates at the driverless computing platform, 5G network and infrastructure level. .
In order to build a "central brain" for automotive high-performance computing, Intel provides integrated solutions for high-performance decision processors and data-aware integration in cars and software-defined computational cockpit (SDC) solutions for human-machine interaction based on Atom processors. Analyze and analyze the data from the necessary sensors, laser radar, and camera of the car, and then communicate with the data center through the 5G communication module.
Faced with the high load of automotive data, Intel also deployed the first few data centers designed specifically for unmanned vehicles. In fact, due to the large amount of data generated by automobiles, how to instantly analyze and analyze the mass data generated by automobiles is of utmost importance. This has also become the main reason for Intel to increase 5G.
To date, Intel has demonstrated prototypes of 5G wireless communications between cars and nearby edge devices, giving automakers the ability to begin developing their own 5G-based unmanned systems. Intel’s 5G product portfolio also includes an Intel® 5G modem, the world’s first global 5G modem, equipped with a baseband chip capable of simultaneously supporting sub-6GHz bands and millimeter-wave bands, designed to promote the initial 5G band. Global testing and deployment. Of course, at the 5G deployment level, Intel is also very aware of the importance of allies. In order to promote the rapid landing of 5G networks, Intel jointly launched the "5G mobile test platform" with companies such as Ericsson, Nokia, and Verizon.
Today, Intel has begun road tests on driverless cars to collect data to optimize the models needed for deep learning so that driverless cars can make autonomous decisions.
At the same time, Intel believes that when the car becomes a powerful mobile data generating device and people change from driving to riding, a new service model called “Passenger Economy†will emerge in the traditional consumer market in the future. How large is this "passenger economy" market? It is expected that by 2050, the "passenger economy" will create economic value of nearly 7 trillion US dollars, and even double the size of the shared economy market.
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