The latest news shows that Baidu announced that it will cooperate with Geely Holdings to formally establish a smart car company to enter the automotive industry as a vehicle manufacturer.
Not long ago, Apple also reported that it has made stocking requirements to supply chain component manufacturers, and it is expected to officially announce Apple’s smart car in 2021. According to South Korean media reports, Apple is negotiating with Hyundai Motors to build a car.
The heat wave of smart cars doesn’t stop there. In the past two years or so, in addition to the new car-building forces “NXL Big Three” Weilai, Xiaopeng, and ideal actions have continued, among the traditional car companies, GAC, BAIC, Dongfeng, etc., have launched E’an, Jihu, and Lantu. And other new energy smart car brands.
Suddenly, the new track of smart cars, with smoke and tension, has vaguely become a new outlet for breaking the world..
The intentions of traditional car companies and new car manufacturers are easy to understand. Why even Internet technology companies such as Baidu, Apple, and Alibaba have to “come in and blend in”? What is the magic of smart cars? Why has it suddenly become an area that policies, industries, and capital are all keen on?
From the perspective of China’s auto industry, how to think about and plan the layout of development strategies, how to strengthen independent research and development of key core technologies and parts, build core competitiveness, achieve technological self-reliance, and how to break through high-end brands To reduce the bottleneck and make the national high-end brand bigger and stronger, how to seize the strategic opportunity of the new intelligent track to realize the successful rise of overtaking by changing lanes?
These questions are not only concerned by the state, local governments and enterprises, but many experts, scholars, and investment institutions are also thinking about answers.
In 2020, the Xinhua News Agency’s Outlook Think Tank, the “National Weekly of Finance and Economics” and the China Association of Automobile Manufacturers, the Chinese Society of Automotive Engineers, and the National Passenger Association will form a research team.Visited and investigated relevant authorities, industry associations and auto companies on issues related to the high-quality development of my country’s auto industry and the development of smart cars, and conducted in-depth exchanges with executive leaders, industry experts and auto company executives, and formed a report with more than 100,000 words “China Smart Car Development Report 2021” (hereinafter referred to as “Report”).
On December 26, 2020, the “Report” was officially released. This blockbuster report covers the concept and industry scope of smart cars, domestic and foreign smart car industry policies, domestic and foreign smart car industry development analysis, smart car commercialization application scenarios, The advantages and challenges in the development of smart cars in my country, the future development trend of smart cars in my country, and policy recommendations provide a panoramic introduction, elaboration and analysis of the development of smart cars in my country. Corresponding suggestions are put forward for development characteristics and shortcomings.
We have compiled the essence of the report as follows. I believe that after reading this report, you will not only have a basic understanding of the reasons for the entry of Baidu and Apple, but also have a deep understanding of the overall picture of the industry.
Friendly reminder, the essence of the “Report” is longer, it is recommended to collect it first and then read it carefully.
Why develop smart cars?
Smart car is a comprehensive system integrating environmental perception, planning and decision-making, multi-level assisted driving and other functions. It uses computers, modern sensing, information fusion, communication, artificial intelligence and automatic control technologies. It is a typical high-tech Technology complex.
In February 2020, 11 ministries and commissions including the National Development and Reform Commission, the Ministry of Industry and Information Technology, and the Ministry of Science and Technology jointly issued the “Smart Vehicle Innovation Development Strategy.”Smart cars have become a strategic direction for the development of the global automotive industry. The development of smart cars is not only conducive to accelerating the transformation and upgrading of the auto industry, but also conducive to accelerating the construction of a manufacturing power, a technology power, a network power, a transportation power, a digital China, and a smart society, and strengthen the country. Comprehensive strength.
my country has a strategic advantage in the development of smart cars, the automobile industry system is complete, and the scale of the road network, 5G communications, and Beidou satellite navigation and positioning systems are internationally leading.
From a national perspective, the development of smart cars can not only solve the problems of traffic safety, road congestion, energy consumption, environmental pollution, etc., but also deepen supply-side structural reforms, implement innovation-driven development strategies, build a modern technological power, and satisfy the people. The growing need for a better life. Our country has the advantage of concentrating socialism with Chinese characteristics to do big things. The state has made overall planning and coordinated advancement of infrastructure construction and key industry layout, and has continuously provided support and subsidies in policies to add impetus to the development of smart cars.
From an industrial perspective, smart cars have become an important breakthrough in the transformation and upgrading of the automotive industry in the new era. In order to meet the urgent needs of the development of traditional auto companies, companies such as artificial intelligence and network communications have accelerated their penetration and integration, leading to the restructuring of the industrial chain. Auto companies have shown the characteristics of intelligent, diversified, and digital development. In terms of the automobile industry, my country’s overall scale has maintained the world’s leading position, the market share of independent brands has gradually increased, breakthroughs have been made in core technology research, and the new energy automobile industry system is relatively complete, laying a solid foundation for the development of smart cars.
From the perspective of application, the functions of automotive products are undergoing profound changes, from pure transportation tools to intelligent mobile spaces, with functions such as entertainment and leisure, digital consumption, public services, etc., to promote Internet of Vehicles data services, shared travel and other new life styles. Speed up the development of the Model.
In terms of infrastructure, my country’s broadband network and expressway network have developed rapidly and ranked first in scale in the world. It has certain advantages in new-generation mobile communication technologies such as 5G. The independently developed Beidou satellite navigation system can provide high-precision maps throughout the country. The development of smart cars provides a strong guarantee.
In terms of market feedback, my country currently has more than 200 million vehicles and an annual sales volume of nearly 30 million new vehicles. The growing diversified and personalized consumer demand of the people has provided a broad market for smart cars, and the mass acceptance is high. Auto companies are encouraged and further released the development potential of smart cars.
What is the industry category of smart cars?
Countries around the world have accumulated rich experience and knowledge in the technical research of smart cars for many years. Innovations in some scientific fields have also laid a solid foundation for the technological innovation and industrialization of smart cars.
The “Report” defines the scope of the smart car industry:
On the basis of ordinary cars, smart cars have added advanced sensors (radars, cameras), controllers, actuators and other devices, and realize intelligent information exchange with people, cars, roads, etc. through on-board sensor systems and information terminals. The vehicle has the ability to perceive the environment intelligently, can automatically analyze the driving state of the vehicle, and make the vehicle reach the destination according to the wishes of the person, and finally realize the purpose of replacing the human operation by the intelligent system. Smart cars are equipped with TV cameras, Electronic computers, and automatic control systems that are equivalent to the “eyes”, “brains” and “feet” of a car. Therefore, this kind of car can “observe”, “judge” and “walk” just like people. , Can automatically start, accelerate, brake, and bypass obstacles on the ground. Under complex and changeable conditions, its “brain” can adapt to changes, automatically select the best plan, and direct the car to drive smoothly.
The smart car industry chain includes upstream key systems, midstream system integration, and downstream application services.
The upstream of the smart car industry chain is divided into four major sectors: perception system, decision-making system, execution system, and communication system. The perception system directly affects the safety and stability of the vehicle, mainly including cameras, lidars, millimeter wave radars, high-precision maps and high-precision positioning. The decision-making system can make decision-making judgments based on perception information, determine appropriate working models, and formulate corresponding control strategies to replace humans in making driving decisions. In the traditional sense, the decision-making control software system of smart cars includes functional modules such as environment prediction, behavior decision-making, action planning, and path planning. The execution system is mainly an integrated control system. The communication system enables smart cars to exchange information with the outside world, which are mainly divided into four categories: V2X communication modules, electrical and electronic architecture, security solutions, and cloud platforms.
The middle reaches of the smart car industry chain are divided into smart cockpits, smart driving solutions, and smart connected vehicles. The intelligent cockpit has now begun to lead 3.0 human-computer interaction, integrating traditional driving information, central control information system, full LCD Display instrument, head-up display HUD, rear seat entertainment system, etc., and combining automatic driving and Internet of Vehicles technology. Provide a safer and richer intelligent driving experience. Intelligent driving solutions mainly include environmental sensing capabilities, core computing capabilities, and decision-making capabilities for cars to make independent judgments. At present, various car companies have developed corresponding solutions for autonomous driving scenarios. Intelligent networked cars are cars that can realize information interaction between cars and X (cars, people, roads, backgrounds), and have intelligent decision-making capabilities.
The downstream of the smart car industry chain is divided into travel services, logistics services, and data value-added. In terms of travel services, driverless technology has transformed cars from providing transportation to providing basic services that are available everywhere. People’s time and attention in the car are released and people begin to pay attention to the experience in the car.
Smart cars are gradually transformed into private smart spaces for people to move. Transportation is only a basic service. The private smart space in the car is its new core value. It will replace mobile phones as a new Internet portal and fill the gaps in Internet services during people’s travel. , Let the Internet service experience of “home-road-office” seamlessly connect together.
In terms of logistics services, unmanned logistics is one of the typical representatives of the logistics industry’s development towards automation and intelligence, and it is the general trend of future logistics development. In terms of data value-added, as the car-selling model becomes less profitable, companies in the smart car field need to break away from the car hardware itself and create new growth points. By cultivating the habits of smart car users, performing big data analysis on relevant authorized use data to build user portraits, and then bring more value-added data to users.
What are the smart car industry policies at home and abroad?
In the “Report”, we sorted out the attempts of countries around the world at the level of smart car industry policies. Here, you will see detailed explorations at the level of industrial policies by many countries.
For example, in foreign countries, the Dutch government has a very tolerant attitude towards autonomous driving. Three-quarters of the country is testing autonomous driving technology;
As the first country in the world to introduce self-driving car insurance legislation, it is estimated that by 2030, one mile of driving mileage in every five miles will be driven by self-driving cars;
Germany took the lead in passing the world’s first autonomous driving-related law “Road Traffic Law Amendment”. As the birthplace of world-renowned automakers, Germany is also one of the earliest countries in the world that paid attention to autonomous vehicles and conducted test experiments;
France is actively carrying out a number of autonomous driving test projects, and it is expected that by 2022, highly automated vehicles will be deployed on highways;
The United States has long established six autonomous driving principles and issued the J3016 standard “Classification and Definition of Terms Related to Autonomous Driving System of Road Motor Vehicles” to promote legislation in the field of autonomous driving;
The Japanese government has amended the “Road Traffic Law” and the “Road Transport Vehicle Law”. It is now possible to legally drive L3 autonomous vehicles and is actively promoting public road services for L4 autonomous buses.
At the domestic smart car industry policy level, the Ministry of Industry and Information Technology publishes the key points of the standardization of smart connected vehicles every year. In addition, the Development and Reform Commission, the Ministry of Industry and Information Technology, the National Standards Committee, and the Ministry of Transport jointly promote the construction of the smart connected vehicle standard system from different levels, and actively Promote and guide the development and industrial application of new technologies such as automobile networking.
What is the status quo of the development of smart cars at home and abroad?
In the era of rapid changes in the global automotive industry, market competition continues to intensify, and the automotive industry is gradually showing a trend of negative growth.
As far as vehicle and automobile companies are concerned, they are at the key node of the automobile industry entering the stock market and the transformation of the new four modernizations of the automobile, and need to overcome challenges such as declining profitability, weak growth, and shifting value chains. Tesla’s entry and market value continue to rise, forcing traditional vehicle companies to start transforming and looking for new outlets.
Chinese vehicle companies have accelerated their industrial and technological deployment in the field of smart cars by cooperating with Internet companies or investing in start-ups in the field of smart cars.
FAW set up a wholly-owned subsidiary in June 2020, dedicated to the field of intelligent network connection; in July 2020, GAC Science and Technology Day demonstrated the latest achievement of the interconnected ecosystem ADIGO 3.0, which realized the ability of highway L3 autonomous driving. System, intelligent IoT system, and artificial intelligence are ushered in new upgrades; ARCFOX Polar Fox will roll off the assembly line in 2021, equipped with three 96-line lidar and 352 tops computing power chip high-level autonomous driving models, by 2023 It will also introduce a real software-defined car that adopts a ring network architecture. By 2025, GM plans to invest more than 20 billion U.S. dollars in global electric vehicles and autonomous driving for 5G, artificial intelligence, smart cities, and big data. GM plans to equip almost all its models with Internet of Vehicles as standard, and will continue to enrich Internet of Vehicles services through OTA remote upgrades. In July 2020, Ford conducted a C-V2X technology-based vehicle-road coordination function test on the open test road of intelligent networked vehicles in Changsha, Hunan, and plans to push these functions to trial car owners through OTA upgrades by the end of 2020.
As the foundation of the auto industry, auto parts are necessary factors to support the sustainable and healthy development of the auto industry. For component companies, component manufacturers represented by foreign companies such as Bosch, Continental, Nvidia, Intel, Qualcomm, and ZF occupy a large market share. my country’s parts and components companies are forging ahead under heavy siege, and need to strengthen their market share to ensure the security of the supply chain. Although my country is the world’s largest auto producer, the proportion of parts and components is not high, and many auto parts can only be imported from abroad. In terms of size, my country’s parts and components are concentrated in peripheral parts, and there is a lack of independent brands. In addition, there is currently a lack of advanced core chip manufacturing capabilities in China.
For Internet companies, Baidu, Tencent, and Alibaba are the representatives in China, and Google, Apple, and Tesla are the representatives in foreign countries. At present, with the advent of the era of intelligent transportation, smart cars will become another major traffic portal after smart phones. Internet giants have stepped into the field of smart cars, trying to build them into a new pole that supports the development of business integration.
Under the new four modernizations of “Electrification, Networking, Intelligence, and Sharing”, the start-up team leads the innovation trend in the field of smart cars with innovative Internet thinking and advanced intelligent technology.For travel companies, Didi, Xiaoma Zhixing, and AutoX are the representatives in China, and Uber and Lyft are the representatives in foreign countries. Compared with traditional cars, smart cars can more effectively solve problems such as traffic congestion, traffic accidents, and environmental pollution. Under the Internet of Vehicles system, people’s travel in the future will be mainly shared, and smart cars and shared travel services will become the field of travel important parts of.
What are the application scenarios of smart cars?
With the support of policies of various countries and the promotion of capital, smart cars are showing a trend of accelerated development.
At present, the core technology is developing rapidly, the standard system is initially established, and the industrial chain is beginning to take shape. Related companies have relatively high strength, and smart cars are gradually moving to the open road for testing and commercial application demonstration. However, fully autonomous driving still needs to break through the three factors of law, technology and users in order to have the foundation for industrialization.
In the early stages of industrial development, in order to realize the self-hematopoietic function, it is particularly important for companies to seek to take the lead in commercial application demonstrations in specific application scenarios. From the perspective of the difficulty of technology application and the degree of influence by laws and regulations, the commercial application path of autonomous driving will follow the principle of first closed and then open, first loading and then manned, in order to select commercial scenarios and be the first to apply in Closed or semi-closed areas in limited scenarios, such as autonomous valet parking, logistics and transportation within closed sites, followed by trunk line logistics, terminal distribution, fixed line sanitation areas, public transportation services, time-sharing leasing, online car-hailing, and sharing Traveling, etc., the last is the autonomous driving in private scenes.
As the first landing scenario, autonomous valet parking has many advantages. From the government’s perspective, it can improve the congestion environment in cities, supervise parking management, and optimize travel. From the perspective of vehicle manufacturers, by increasing the function of independent valet parking, the new competitiveness of vehicle products will be improved, and the production and sales will be increased. From the perspective of parking lots, it can reduce costs, improve operational efficiency, and increase revenue. From the consumer’s point of view, it can truly solve the pain points of parking difficulties, reduce the difficulty of parking, and truly improve driving efficiency. According to the statistics of Gaogong Automobile, based on the data analysis of SAIC for the whole year of 2019, the assembly rate of automatic parking systems in the domestic market has reached about 8%. It can be seen that from the understanding of functions by car companies and the requirements of consumers for functions, the assembly rate of automatic parking systems will increase day by day. Leading companies in the Chinese market include Uisee, ZongMu Technology, Heduo, etc., and cooperate with car companies to promote technological improvement. In the future, as the maturity of technology continues to improve, the algorithm becomes more and more mature, and the penetration rate of automatic parking systems will further increase. And continue to upgrade and iterate in the direction of autonomous parking.
The port unmanned truck is a smart car that integrates high automation and high precision. It can automatically plan the driving trajectory, automatically detect obstacles and avoid obstacles, automatically monitor the loading status and lighting system, automatically monitor the fuel level, and plan the trajectory to automatically drive to Refueling in the refueling area can fully meet the operational needs of different ports. In addition, it is equipped with the most advanced artificial intelligence technology to build a precise and powerful environmental perception network, which can accurately perceive and identify the complex operating environment of the port, ensuring the safety and reliability of unmanned operations. Compared with traditional tractors, it is more suitable for operations in dense container yards in ports. Due to the current Chinese laws and related regulations, unmanned driving of construction vehicles, port-operated trucks, and fixed-route low-speed freight trucks is easier to achieve than passenger vehicles. Unmanned vehicles can reduce port operating costs and improve safety. And improve efficiency. Among the top ten global port rankings, China occupies 7 seats. The intelligent upgrade of ports has promoted the automation of container trucks. Auto-driving trucks are conducive to improving port operation efficiency and can bring huge commercial value and economy to the logistics field. benefit. At present, Volvo, China National Heavy Duty Truck, SAIC Hongyan, FAW Jiefang, Dongfeng Liuzhou Automobile, Jiangling Heavy Duty Truck and other truck manufacturers have launched L4 and above autonomous driving heavy trucks for port operations.
The main functions of the unmanned sanitation vehicle include four categories: suction and sweeping operations, scrubbing operations, garbage collection, and garbage transfer. It integrates artificial intelligence, machine vision, image recognition, precise positioning and other artificial intelligence technologies, which can be implemented in the field of sanitation. Fully automatic, full working conditions, refined, high-efficiency cleaning operations. In the future, sanitation operations will usher in the “unmanned driving era”. The use of unmanned sanitation cleaning solutions is expected to save more than 60% of manpower for sanitation services, thereby saving more than 40% of costs, and solve the living conditions of sanitation workers, greatly reduce the casualty rate, improve work efficiency, and make traditional sanitation operations more Green, safe, efficient, convenient, and the market is large. Domestically, Shenlan Technology, Woxiaobai, and Gaoxian gradually occupy the market in the development of unmanned sanitation vehicles.
Terminal logistics refers to the logistics delivered to consumers, and is a logistics activity with the direct purpose of satisfying the terminal (customer) in the distribution link. Also known as “last mile” delivery, this type of activity is based on the interests of consumers. As economic activities become more and more centered on the needs of consumers, the basic concept of “user first” has taken root in the hearts of the people, and this concept has also been reflected in logistics activities. Therefore, terminal logistics has received more and more attention. Affected by the 2020 epidemic, contactless unmanned delivery has received widespread attention, and the concept of terminal logistics unmanned delivery vehicles is deeply rooted in the hearts of the people. Under the epidemic, unmanned delivery at the end has accelerated. During the epidemic, JD Logistics delivered materials to Wuhan Ninth Hospital, and the proportion of unmanned delivery exceeded 50%. Hubei, Zhejiang, Guangdong, Sichuan, Shanghai, Shenzhen, Beijing and other regions all plan to deploy unmanned delivery vehicles, accelerating the landing of unmanned delivery scenarios and product commercialization at the end.
Trunk logistics refers to the logistics that accompany trunk transportation such as railways, ships, line trucks, etc., such as harbors, airports, cargo stations, truck terminals, etc. that enter and exit the city. At present, the unmanned transportation of mainline logistics mainly adopts unmanned heavy trucks. The unmanned heavy trucks are responsible for the logistics transportation from warehouse to another warehouse. In the case of unmanned driving, they can judge independently, collect and process information, and avoid autonomously. In the current high-speed scene, it can accurately identify obstacles hundreds of meters away. It can also quickly control the vehicle to make emergency stop or bypass obstacle avoidance. Because the scene of unmanned heavy truck application is in the highway Mainly, compared with the use of passenger cars, the scene is simpler, the highway cargo transportation volume is large, and the unmanned transportation of trunk logistics has huge commercial value. In 2019, China’s road freight transportation turnover reached 5,963.64 billion ton-kilometers. The market is large, the demand is large, and the attention is high. Therefore, trunk logistics is the most commercially valuable scenario in the autonomous driving application scenario, and it can reach a market size of at least 5 trillion yuan in China.
Autonomous driving taxi (Robotaxi) is a combination of taxi and autonomous driving technology, and is one of the important application scenarios of unmanned driving. In December 2018, Waymo’s paid taxi service was launched in Phoenix. This is the world’s first commercial self-driving taxi service online. In 2019, Shanghai, Changsha, and Wuhan will successively open unmanned driving demonstration operation licenses. As currently the most difficult application scenario for autonomous driving, driverless taxis have higher requirements for related configurations. The promotion of self-driving taxis is expected to solve the pain points of traditional travel services. The use of self-driving technology to replace human drivers in driving behavior. After several years of development, the advantages of self-driving technology in terms of cost, safety and environmental protection have gradually been People recognized.
At present, the commercial application of driverless taxis has made great progress in the United States, Japan, Europe and other countries and regions. Many countries have allowed autonomous driving to carry people on the road without safety personnel, and Robotaxi’s operating scope is gradually expanding. Autonomous driving companies such as Waymo, Cruise, Pony.ai, and AutoX have obtained relevant licenses.
Consumers in Beijing can book an experience on Baidu Maps and Apollo’s official website. Although Apollo Taxi is already an L4 driverless driver, Robotaxi is currently running on relatively fixed routes and stations. For the time being, it is not possible to choose the purpose of travel at will like a taxi. land. In addition, Wenyuan Zhixing started the trial operation of self-driving taxis in Guangzhou, and Didi self-driving taxis will create intelligent and safe travel in Shanghai. Many companies have bet on the self-driving taxi business.
What problems are still facing the development of smart cars?
Although the coverage of 5G networks and the development of new infrastructure applications for smart facilities have enabled the automotive industry to make significant developments in the field of autonomous driving, it still faces many problems.
On the one hand, the existing legal and regulatory system lags behind the development of autonomous driving technology, and there are problems such as contradictions and regulatory gaps.
At present, my country allows a limited range of intelligent networked vehicles to test on public roads, but there are no restrictions on road traffic management. The analysis and determination mechanism for traffic accidents of autonomous vehicles has not yet been formed. There are various causes of traffic accidents. The designers of autonomous driving systems, Producers, users, etc., as the main body, clarification and division of responsibilities are more complicated. High-precision maps and positioning are necessary conditions for automatic driving, and the existing surveying and mapping management system limits its development. Autonomous driving also involves network security issues. The protection of massive amounts of data and user information collected during vehicle use has not yet been regulated, and the ownership of data use rights has not yet been defined.
The country has initiated the construction of test sites and demonstration areas, and formulated and issued road test management regulations, which regulate road tests at the national level, but a unified and complete test evaluation system for R&D and verification has not yet been established. The construction scenarios and roads of the test demonstration zones in various places are different, and they lack commonality, sharing, and sharing. Enterprises need to test autonomous driving roads in different regions, and the test efficiency has been reduced.
On the other hand, due to complex scenarios and many uncontrollable factors, the mass production of high-level autonomous driving systems in private cars still has a long way to go.
Compared with highways and closed venues, urban working conditions have more complex scenarios and many uncontrollable factors. The development of a full-scenario automatic driving control strategy is more difficult than expected. Compared with the L2 level, the signal data processing volume of L3 autonomous driving has increased exponentially, and higher requirements are put forward for key components such as car-level chips and lidar. At present, it is in the research and development stage at home and abroad, and the cost is too high and reliable. The performance has yet to be verified by the market. These problems have become a huge test for the R&D and mass production of autonomous driving at L3 level and above.
The goal of autonomous driving development is to reduce accident rates and improve driving safety, but leaders in the autonomous driving industry such as Tesla, Waymo, and Uber have also experienced traffic accidents of varying degrees, even causing casualties.
In addition, to realize single-vehicle autonomous driving, companies have to invest a lot of personnel and capital costs, including hardware and software costs such as chips, sensors, and algorithms, vehicle renovation costs, and road testing costs.
The market for key components such as chips and lidar sensors is monopolized by foreign suppliers with high prices. According to reports, the cost of refitting a self-driving car in Didi exceeds one million yuan.
At present, self-driving cars cannot really go on the road. They can only conduct demonstration operations of unmanned taxis within a limited range. A large-scale commercial profit model cannot be formed. The test requires that the test-operated vehicles need to be equipped with safety officers, which increases the cost of personnel and autonomous driving. The commercialization of China is far short of expectations.
Suggestions for the development of smart cars in my country in the future
At present, my country’s autonomous vehicle industry is still in the early stages of development. In the future industrial development process, my country should strengthen the top-level strategic design at the level of self-driving car policy, and increase overall planning, remove legal obstacles, improve technical standards, establish an evaluation system, break through key bottlenecks, and promote coordinated development to ensure The self-driving car industry is developing steadily and rapidly.
1. Strengthen the top-level strategic design for the development of the autonomous vehicle industry
Establish a pragmatic, clear and specific overall development strategy and policy and regulatory system for the autonomous vehicle industry based on my country’s national conditions, establish an inter-ministerial joint conference coordination mechanism under the leadership of the Party Central Committee and relevant departments of the State Council, and coordinate the promotion of autonomous vehicles and related industries For the common development of my country’s existing policies and regulations, technical foundations, talent scale, market space, traffic environment, infrastructure construction, product safety entry barriers and other actual conditions, detailed policy measures have been formulated.
2. In-depth research on laws and regulations for the development of the autonomous vehicle industry
In-depth research on relevant laws and regulations, based on technical standards, amend and improve laws and regulations such as self-driving car registration and registration, and eliminate driver and vehicle registration, road driving permits, vehicle information security, and criminal law faced in the development of the self-driving car industry. There are many legal and regulatory obstacles such as civil liability determination and insurance compensation.
3. Accelerate the improvement of the standard system for the development of the autonomous vehicle industry
Based on the preliminarily formed self-driving car standard system, research and formulate the technical standards for the core modules of self-driving car sensor systems, decision-making systems, control systems, and accelerate the improvement of vehicle information security, vehicle networking communications, vehicle testing and evaluation, and digitization foundations Standards for facilities and other aspects, and promote the consistency and convergence of autonomous vehicles with standards in areas such as smart cities, smart transportation, and smart highways.
4. Build a safety evaluation system for the development of the autonomous vehicle industry
On the basis of the active safety and passive safety of traditional cars, autonomous vehicles will also face issues such as functional safety and information safety. Carry out research on the active safety, passive safety, functional safety, and information security security systems of autonomous vehicles, analyze the basic definitions and element systems of autonomous vehicle safety, build an autonomous vehicle safety rating system, and promote the effectiveness of China’s autonomous vehicle safety evaluation and practice , So as to escort the safety of self-driving cars.
5. Focus on the core technologies for the development of the autonomous vehicle industry
Through the establishment of special development funds for autonomous vehicles, the research and development and concentrated research on key common core technologies of autonomous vehicles will be realized. In addition, it is also possible to fully coordinate and organize all parties through the construction of a market-oriented operation model, promote the establishment of a cross-industry and interdisciplinary self-driving car industry development community, and realize the self-driving car industry and information, transportation, planning, communications, electronics, The collaborative and interactive development of multiple fields such as artificial intelligence, and the construction of a basic data sharing platform and an industrialized service platform for autonomous vehicles can provide support for the collaborative innovation and development of the upstream and downstream of the autonomous vehicle industry chain.