With the accelerated integration of the digital economy, intelligent and connected vehicles have become an important direction for the innovation and development of the automotive industry.

According to data from the Ministry of Industry and Information Technology, in the first half of this year, the sales of passenger vehicles with combined driving assistance functions reached 2.88 million, and the penetration rate rose to 32.4%, a year-on-year increase of 46.2%; 17 test demonstration areas and 16 "dual-smart" pilot cities were completed. More than 3,500 kilometers of roads have been upgraded intelligently, and more than 4,000 roadside networking equipment has been assembled.

　　"Intelligent connected vehicles are in a critical period of rapid technological evolution and accelerated industrial layout, and their vigorous development will drive profound changes in areas such as intelligent transportation, smart energy, and smart cities. Optimize policy supply and speed up the industrialization of ICVs." Xin Guobin, Vice Minister of Industry and Information Technology, said at the 2022 World ICV Conference held recently.

　　Vehicle-road collaboration attracts wide attention

　　As one of the most important technical routes of intelligent networked vehicles, vehicle-road-cloud integration construction has received extensive attention in recent years.

In Wuxi, Jiangsu, China Mobile has led the construction of a national-level IoV pilot area. At present, it has realized the coordinated transformation of vehicles and roads at 400 intersections, deployed its self-developed cloud control platform, and realized nearly 100 vehicle-road collaboration scenarios. Provide services for the industry and the public. .

At the same time, the project results have been replicated and applied in Shanghai, Wuhan, Nanjing and other cities.

　　In the high-level autonomous driving demonstration area in Beijing, 329 intelligent networked standard intersections, two-way 750-kilometer urban roads and 10-kilometer expressways have completed the coverage of vehicle-road-cloud integration. The networked cloud control system has realized multi-channel data fusion, supporting The ultra-high-speed wireless communication private network integrated with the vehicle network has been laid on 60 square kilometers, and the decimeter-level high-precision dynamic map platform has been built.

　　"Vehicle-road coordination technology reduces the collision risk of vehicles by 23% per 10,000 kilometers, and the participation rate of roadside information in key decision-making reaches 37%. The optimization of traffic communication control reduces the length of vehicle queues by 30%." Kong, director of the Beijing Economic and Technological Development Zone Management Committee Lei said that after two years of cultivation, the demonstration zone has introduced more than 40 related companies such as Baidu and Pony.ai, and cooperated with universities, scientific research institutions and platforms such as Tsinghua University, Beijing Artificial Intelligence Research Institute, and National Innovation Center. Enterprises, carry out in-depth research and application of new technologies in the demonstration area.

　　After years of practice, Baidu has explored a development route of "smart bicycles + networked empowerment" in the field of vehicle-road collaboration.

"If smart bicycles are compared to car lights, vehicle-road coordination is street lights. With the combination of lights and street lights, the threshold for large-scale commercial implementation of autonomous driving will be greatly reduced, and safety will be further guaranteed." Baidu Group Intelligent Driving Division Li Zhenyu, general manager of the group, told reporters that with the support of the industry-university-research-government cooperation model, Baidu has completed a C4-level smart roadside solution in the demonstration area.

For example, Baidu Maps will combine the light color and countdown of the traffic lights at the intersection ahead, and recommend the optimal speed in real time according to the user's speed and location, so as to ensure that the green light is on when arriving at the intersection.

By driving at the green wave speed, the user can pass the intersection ahead without stopping, which not only reduces the number of waiting times for red lights, saves passing time, but also reduces the energy consumption caused by waiting for red lights.

　　Zhang Yuzhuo, vice chairman of the China Association for Science and Technology, also believes that the "bicycle intelligence + network connection empowerment" route should be adhered to, and the transition from testing and verification to multi-scenario demonstration and large-scale applications should be promoted, and the coordinated development of vehicles, roads and clouds should be deepened, and the radiation will drive the healthy development of upstream and downstream industries. .

Identify key technologies and deepen basic research for shortcomings in automotive chip equipment, materials, and processes.

　　"In the next step, we will promote the construction of roadside equipment that integrates vehicles, roads, and clouds according to local conditions. According to the existing conditions of each district, combined with the development needs of autonomous driving, smart transportation, and smart cities, we will realize the intelligent upgrading and transformation of urban road infrastructure on a larger scale. At the same time, we will work with leading companies in the industry and scientific research institutions to jointly build a joint laboratory, in-depth layout around the industrial chain and automotive-grade chips, strengthen cooperation with market-oriented investment institutions, and build an intelligent networked automotive industry ecology." Kong Lei said.

　　Network security needs urgent attention

　　At present, the automotive industry is accelerating its development towards electrification, intelligence, and networking, and various security risks such as network security, data security, and industrial security are also penetrating into the field of Internet of Vehicles.

　　"In recent years, the network and data security of vehicles has been highly valued by all parties. On the one hand, cyberattacks against ICVs occur frequently, affecting the safety of vehicles; on the other hand, when vehicles illegally collect and leak data, serious It threatens national security." Chen Tao, deputy general manager of the China Automotive Engineering Research Institute, believes that at present, the regulatory mechanism for network security and the whole-process network security technology research and development system have not been formed, and the division of network and data security responsibilities is not clear.

　　Kong Deliang, vice president of Qi Anxin Group, analyzed that from a network perspective, ICVs are mainly faced with three risks: remote intrusion, close-range attack, and contact attack; The occurrence of security incidents at the four levels is directly related to the protection of personal privacy and economic and social stability.

In this regard, Qi Anxin launched a security protection system for the Internet of Vehicles, which blocks and controls illegal traffic and abnormal access devices, and marks the device to prevent abnormal traffic or devices from invading again.

　　"The Internet of Vehicles is a new industrial form, which urgently needs new ideas, new models and new technologies. It is necessary to speed up the improvement of innovation and research and development capabilities, carry out in-depth forward-looking, strategic and basic research, strengthen core technology research, product application innovation, and actively develop high-tech High-quality, high-performance, and high-security ICV products and services continue to enrich security supply capabilities," said Zhang Guangming, deputy director of the Cyber ​​Security Administration of the Ministry of Industry and Information Technology.

　　The Internet of Vehicles industry has a large span and a wide range of technical fields. Building security capabilities is inseparable from the joint exploration of all sectors of the industry.

"Research institutions, universities, industry organizations and enterprises should be encouraged to strengthen cooperation, promote exchanges and cooperation between production, education, research and application, promote theoretical exploration, technical exchanges, demonstration applications and industrial promotion, and build a network security industry ecology with complementary advantages and integrated development." Zhang Guangming said.

　　The future of autonomous driving is promising

　　Industry data show that the penetration rate of L2 (partial automation) and above autonomous driving functions in the passenger car market will reach 36% by the end of the year, and this figure is expected to reach 60% by 2025.

Multi-scenario demonstration applications such as autonomous taxis, unmanned buses, autonomous parking with passengers, trunk logistics, and unmanned distribution have been carried out in an orderly manner.

　　In August last year, Baidu launched its self-driving travel service, which has now covered 12 cities including Beijing, Shanghai, Guangzhou, and Shenzhen, with a cumulative order volume of more than 1 million.

"Many netizens commented that the driving experience is not much different from that of a real driver, and the overall driving is smooth and safe." In Li Zhenyu's view, L3-level (conditional automation) autonomous driving has the characteristics of human-machine co-driving, and accidents occur. It is difficult to define the responsible party.

Therefore, it is likely that L4 (highly automated) autonomous driving will be the first to enter commercial use after L2, which will provide travel services for a wider range of users.

　　According to the observation of Yu Qian, the co-founder and CEO of Qingzhou Zhihang, OEMs represented by new power car companies and traditional car companies have adopted progressive technology routes to gradually promote the application of advanced assisted driving in highway and urban scenarios, while autonomous driving Most of the company's companies use leap-forward technology routes to create advanced assisted driving solutions to empower car companies.

"Advanced assisted driving for urban scenarios should have functions including narrow road passage, yielding to pedestrians, U-turn, automatic obstacle avoidance, etc. Therefore, the sensors and computing power on board must meet the requirements of vehicle regulations, and the resulting cost, function The consumption limitation needs to be solved by means of stronger algorithm framework optimization and engineering.”

　　Although high-level autonomous driving is booming, its large-scale commercial application still has a long way to go.

"According to statistics, the total amount of investment and financing for autonomous driving will reach 57.5 billion yuan in 2021, which is 6 times that of 2019. We need to make full use of capital to accelerate and empower the industry, and at the same time, we need to be vigilant against the vicious competition of enterprises caused by overheating capital. Repeat construction with low levels. Market players should focus on technological innovation and product optimization and iteration, rather than blindly hyping capital.” said Wang Lei, deputy director of the Beijing Municipal Bureau of Economy and Information Technology.

　　Li Pengda