"Made in China 2025" promotes industry reform, smart car industry is one of the important areas

Under the slogan "Made in China 2025", the Chinese government is constantly pushing for changes in the industry. Among the many hot industries, the smart car industry is one of the most concerned industries.

Recently, I have set foot in China for the first time, and the technical level of the infrastructure and the degree of technical integration have surprised me. In addition, in terms of technological development, China is constantly adjusting to effectively solve social problems such as traffic congestion, which really surprised me. At present, China is implementing new policies and policies aimed at promoting the transformation of the entire Chinese industry from a single manufacturing leader to an innovation leader, and the above measures may be just the tip of the iceberg of many changes.

"Made in China 2025" promotes industry reform, smart car industry is one of the important areas

Under the slogan "Made in China 2025", the Chinese government is constantly pushing for changes in the industry. Emphasizing technological innovation and promoting economic development are the core of this work activity. This initiative focuses on a number of technical areas and thus promotes economic development, which seems controversial from an economic and geopolitical perspective. The smart car industry, which has received much attention in many hot industries, is an important area where the Chinese government plans to increase investment.

China's auto industry will usher in soaring; who will participate in it?

For the Chinese auto industry, this means that the existing companies in the field of smart cars will usher in rapid development, and many new companies and startups will also emerge in large numbers. From a global perspective, companies that are committed to computer vision imaging, embedded deep learning and other technical fields will continue to increase their market demand for their products.

New and existing Chinese companies are also looking forward to the rapid and efficient development of related technologies, so as to bring products to market as soon as possible. Intellectual property (IP) policies play a particularly important role in advancing the R & D process and effectively integrating existing knowledge and mature solutions. The correct IP structure is conducive to the rapid and efficient development of these companies.

Computer vision is an important enabling technology

Computer vision technology is a key technology to realize intelligent driving of vehicles. Almost every function in highly automated vehicles (HAV) depends on the "field of view" presented by vision and imaging algorithms. This feature is also the essential difference between highly automated cars and all automated cars equipped with on-board cameras and obstacle sensors. In order to improve the safety of vehicles, first-class companies such as Novatek have now deployed millions of IP devices using imaging and vision.

"Made in China 2025" promotes industry reform, smart car industry is one of the important areas

The Chinese automotive industry is seeking solutions that are flexible, scalable, and safe and reliable. One of the development goals of the Chinese automotive industry is to face the global market. Obviously conforming to the ISO 26262 standard is also an important selling point of its products, and meeting existing industry standards is a prerequisite for achieving this goal.

The huge demand for AI processors in automobiles and other fields

There is no doubt that artificial intelligence is one of the most popular technologies. From smartphones to household appliances, many companies emphasize the use of AI engines in their products. Because AI uses innovative technology and has excellent efficiency and quality, it is favored by the Chinese automotive industry.

In the previous article, I was skeptical about the feasibility of China's top-down approach to promote the development of autonomous vehicles, and whether the autonomous driving systems of Apollo and Baidu could become the leading systems in the field of autonomous vehicles. Now with the development of the self-driving car industry, these questions clearly have clear answers. According to Reuters, China has ambitious plans in the field of automotive AI. The plan predicts that by 2020, more than half of domestic new cars will be equipped with AI products, and at the same time, 90% of large cities and highways will be equipped with wireless networks that can support smart cars.

Therefore, in the future, the Chinese automotive industry will certainly seek embedded AI solutions to promote the development of autonomous driving and active safety applications. This AI solution must be extremely energy efficient. And in the process of realizing this kind of solution, it will also produce huge benefits-design and development tool kit to shorten the time to market and improve the company's ability to innovate and create value.

Smart car innovation frontier-CEVA mature solution

At present, CEVA's IP has been integrated into millions of designs of HAV's global advanced enterprises. The XM series of imaging and vision DSPs have excellent performance and can be packaged in compliance with ISO 26262, which is also a necessary condition for ADAS safety features to compete with global automotive industry standards.

NeuPro AI processor is a new generation of intelligent IP combination of CEVA. The processor is based on a large amount of CEVA deep learning experience and adopts a more flexible and extensible architecture. It can be applied to any cutting-edge device that requires advanced AI and machine learning functions, including devices with high frequency of use-from automatic or Semi-autonomous vehicles and smart factory equipment to miniature, low-power handheld IoT devices.

"Made in China 2025" promotes industry reform, smart car industry is one of the important areas

CDNN usage process

In order to improve the above advanced embedded IP design, CEVA specially developed CEVA Deep Neural Network (CDNN). In the process of deploying a deep learning system to best-selling embedded devices, CDNN, as an excellent deep learning tool suite, can effectively implement software development and other workflows.

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