The 3rd Global Smart Car Frontier Summit was held to accelerate the opening of the first year of car intelligence

On August 22, the Third Global Smart Car Frontier Summit (GIV2020), sponsored by the China Electric Vehicles Association, Smart Cars and Smart City Collaborative Development Alliance, hosted by China National Electrical Equipment Research Institute Co., Ltd., and supported by the Guangzhou Municipal People’s Government Held in Guangzhou.
   Under the background of the fourth industrial revolution, automotive electrification technology is deeply integrated and developed with 5G, artificial intelligence, chips, big data, cloud computing and other intelligent technologies. In 2020, the automobile industry will usher in the first year of intelligentization, a key node in the development of this industry. On August 22, it will be hosted by the China Electric Vehicle Hundred People's Association, the Smart Vehicle and Smart City Collaborative Development Alliance, and the China Electrical Equipment Research Institute Co., Ltd. The third Global Intelligent Vehicle Frontier Summit (GIV2020) sponsored by the company and supported by the Guangzhou Municipal People's Government was held in Guangzhou.

The theme of this conference is "Speeding up the intelligentization of automobiles and creating new engines for the industry". It mainly discusses and shares the achievements in the current development stage of the smart car industry, unsolved problems and future development directions. More than 600 people attended this conference on the spot. At the same time, the conference also adopted a live video broadcast method to attract more than 2 million "cloud attendance".

Chen Qingtai, Chairman of China Electric Vehicles Association of 100
  Chen Qingtai, Chairman of the China Electric Vehicles Association, Wang Xi, Deputy Governor of Guangdong Provincial People's Government, and Hu Hong, Deputy Mayor of Guangzhou Municipal People's Government, delivered speeches. Chen Qingtai said that the electrification of automobiles has made phased progress. Next, intelligence and connectivity should be put in a more important position. The next step in the automotive revolution is intelligence and connectivity.
  The development speed of smart cars exceeds expectations
With the rapid update of basic technologies, the automotive intelligent technology system has developed more and more complete, and intelligent networked cars have more detailed and specific landing scenarios: from L2-L5, each autonomous driving level has successively developed a market The technology and product system of the application prospects, on the one hand, enriches the connotation of automobile intelligence, on the other hand, it also allows the speed of intelligent landing to exceed expectations.

Zhong Zhihua, Academician of Chinese Academy of Engineering and Vice President of Chinese Academy of Engineering
   Zhong Zhihua, academician of the Chinese Academy of Engineering and vice-president of the Chinese Academy of Engineering, mentioned in his speech that there are many levels of smart cars and the development speed will be very fast. If companies do not notice this trend, they will definitely fall behind.

Feng Xingya, General Manager of Guangzhou Automobile Group Co., Ltd.
   Feng Xingya, general manager of Guangzhou Automobile Group Co., Ltd., believes that smart cars have shifted from laboratory and demonstration operations to production. The beginning of new products to the market is also the process of launching new technologies and accepting consumer testing. At this stage, companies, capital, and the public are no longer confused by the concept, but enter a cooling-off period. This is the law for the development and growth of new technologies and new things, and it is also the only way before the start of industrialization.
Therefore, at this key development node, as far as the entire industry is concerned, it is necessary to be both "cautious" and "bold", to be a radical leader in strategy, to closely follow the development of technology and market in tactics, to build its own competitiveness, and to actively face Difficulties and challenges in the development process, and with the help of advantages, promote the intelligent transformation of the automotive industry.
  The technological advancement of electric vehicles must fight on two fronts
If we look at the changes in the automotive industry from the changes in product definitions, then electrification corresponds to the basic attributes of cars as a means of transportation; while intelligence and connectivity are the added value of vehicles outside of the means of transportation. The ability to simply provide "mobile" to the full range of services provided around "mobile".
  To ensure the market competitiveness of automotive products, both of these aspects are indispensable. Chairman Chen Qingtai pointed out in his speech: "The technological advancement of electric vehicles must be combated on two fronts: one front is the battery, motor, electronic control and charging infrastructure. This foundation must be laid to ensure good driving functions of electric vehicles; the other The front is also the focus of future competition, that is, networked, intelligent, and ultimately driverless. This is necessary to give full play to the automotive revolution to benefit society. Only two fronts can move forward to gain a firm foothold."
In terms of electrification, whether it is the key components of the vehicle or the infrastructure layout, the industry is advancing steadily after ten years of accumulation. In terms of intelligence, it is necessary to start from the basics and start from understanding the market and user needs. , To create its own products and technologies.
  How does an enterprise realize intelligent transformation
   Regarding this question, the answers given by the industry are very consistent: integration, openness, and collaboration. Chairman Chen Qingtai pointed out that cross-industry integration and collaborative innovation will be the key to success or failure.
   The biggest change that intelligence has brought to the automotive industry lies in the reshaping of the industrial chain.
   The chain that has been solidified in the development of more than 100 years has begun to loosen. OEMs are playing their own integrated advantages, hoping to build a business ecosystem centered on themselves, instead of being eliminated or replaced by the impact of the intelligent torrent; suppliers are defining their own roles with a more open attitude, and competing Realize the transformation between the two; seeing the cross-border power of the new potential market and the new forces holding the cards, we hope to "should" as soon as possible in this round of industrial reshaping.
  The industry is in a period of reshaping and transformation of the industrial chain. This integration and ecological establishment process is not as fast as the arrival of intelligence. Therefore, Chairman Chen Qingtai issued an appeal at the conference: "Automobile companies should stretch out their hands for cooperation, and Internet, IT, and AI companies should insert their hands. The two parties will work together to reconstruct the automotive industry chain and jointly build the industrial ecology of smart cars. ."
   Open cooperation is not only embodied in the cooperation of enterprises, but also in product development ideas. Chen Liming, President of Bosch Chassis Control System China, mentioned that Bosch integrates industry resources through open cooperation of open source software (operating system middleware and development tools), so that everyone can build autonomous driving together to accelerate the implementation of autonomous driving, instead of repeating it. Waste resources to do the same thing.
  Autonomous driving must take the route of application and scenario-driven innovation
  Autonomous driving is shifting from technical demonstration to commercial landing. When the development of basic technology is sufficient to support the realization of the final product, the problem will naturally become more practical from the implementation path: how to make a profit. There is no either A or B between the scenarios. The key is whether there are real user needs, whether technical and product capabilities are sufficient, and whether a commercial closed loop can be formed... is the key.
   Therefore, if we want to realize autonomous driving, we must start from the application and scenario, and reverse drive the innovation of technology and products. Academician Zhong Zhihua mentioned that technology is application-oriented and may be less risky, while talking about technology is very risky, especially those who are not very familiar with transportation and automobiles may enter a misunderstanding. When referring to his actual innovative practice exploration cases, Academician Zhong emphasized that guided self-driving logistics vehicles, using manned driving and unmanned driving, can solve current regulatory issues and reduce the labor cost of drivers.
  The development of smart cars must grasp the environmental advantages of vehicle-road synergy in my country
   The introduction of the new infrastructure policy has provided support for the coordinated development of vehicles and roads, and the construction of 5G and road traffic intelligent infrastructure has accelerated, becoming a new driving force for the acceleration of the development of the smart car industry. As a focal topic of industrial development, "Vehicle-Road Synergy" was praised by many guests in the high-level forum of this conference. Many guests expressed that the development of vehicle-road synergy has both policy advantages and market advantages in my country, and this will be fully utilized. Advantages will likely lead smart cars to speed up into the "fast lane."
Ran Bin, dean of the Southeast University-University of Wisconsin Intelligent Connected Transportation Research Institute, believes that road-to-vehicle collaboration is to treat roads and vehicles as a complete system, and use smart roads to make up for the lack of intelligent connected vehicles, and improve the safety and security of vehicles. Reliability and related functions. The development of smart cars with vehicle-road coordination will soon be able to achieve the third level of autonomous driving, and a single car can save 50%-90% of the cost and 10 years.
   Feng Xingya believes that bicycle intelligence + vehicle-road coordinated route is the best solution to adapt to the Chinese market. In his view, high-level autonomous driving technology and cost problems are prominent, and there is no contradiction between vehicle-road coordination and bicycle intelligence. my country's development of vehicle-road coordination has both policy advantages and market advantages. Huge market capacity, innovation in consumer Internet business models, and unique advantages in 5G systems, artificial intelligence, and software talents will surely give birth to smart cars based on China's ecological industry.
  City is the largest application scenario for autonomous vehicles
   Self-driving cars should use scenes as the core driving force for technological innovation, and cities are precisely the largest application scenarios for self-driving cars. But as a new thing, the autonomous driving industry itself is too new and spans too large. How to build an urban scene that adapts to autonomous driving is very important to drive the development of autonomous vehicles.

  Third, to demonstrate applications. Carry out application demonstrations in specific scenarios, open up urban roads, attract enterprises to test, and gather innovative resources for the city.
   Fourth, data and cloud control platforms, building digital infrastructure, opening up all kinds of data, providing integrated data platforms, and effective management.
  In the meeting, Secretary-General Zhang Yongwei also released the "Autonomous Driving Application Scenarios and Commercialization Path" report on behalf of the Smart Car and Smart City Collaborative Development Alliance. The "Report" believes that autonomous driving technology will be the first to be implemented in seven scenarios, including Robo-taxi, trunk logistics, terminal distribution, urban sanitation, unmanned buses, closed parks, and AVP autonomous valet parking. Based on the status quo of the autonomous driving industry, the "Report" analyzes in detail the status quo and pain points of the development of seven scenarios as well as the challenges faced, and studies and taps the application value of autonomous driving.
After the end of the high-level forum, two theme summits and two round table forums were held in parallel on the afternoon of the 22nd, focusing on the technological breakthroughs, product innovations, landing scenarios and application cases of smart cars in the past two years, as well as the top-level route design issues of industrial development. Further in-depth discussions were conducted on issues such as the development and cultivation of talents in the intelligent network industry.