Beijing, September 9 ( -- As an important strategic direction for the transformation and upgrading of the global automotive industry, intelligent networked vehicles have become a key field in which countries and major enterprises compete to make efforts. Among them, the landing, promotion and commercialization of autonomous driving technology have attracted much attention.

Some people in the industry believe that in order to break through the bottleneck of bicycle intelligent technology and provide safer and more efficient perception for autonomous driving, it is necessary to accelerate the improvement of the basic supporting of the industrial chain, increase the roadside perception and edge computing infrastructure in the vehicle-road coordination scenario, and provide operating conditions for autonomous driving.

At present, the global intelligent networked vehicle and autonomous driving industry is entering a new stage of accelerated development, the vitality of domestic related technological innovation has been enhanced, the country has opened more than 2,7000 kilometers of test roads, the total test mileage has exceeded 8 million kilometers, more than <>,<> sets of roadside communication units RSUs have been deployed, and multi-scenario demonstration applications such as autonomous taxis, trunk line logistics, and unmanned distribution are booming.

Turing Award winner Whitfield Diffie believes that intelligent networked cars may bring various benefits in the future. First, transportation costs will further decline; Second, security will be greatly improved; Third, the efficiency of transportation within the city will be improved; Fourth, the traffic is more flexible, fast, and more convenient.

Wu Feng, Director of the Automobile Management Division of the First Department of Equipment Industry of the Ministry of Industry and Information Technology, said that intelligent networked vehicles integrate a variety of innovative technologies such as the Internet of Things, cloud computing, big data, and artificial intelligence, and are an important strategic direction for the transformation and upgrading of the global automotive industry.

He revealed that in 2022, China's new sales of intelligent networked passenger cars equipped with assisted automatic driving systems will reach 700 million, a year-on-year increase of 45.6%, and the market share will increase to 34.9%. In the first half of this year, new passenger car sales with combined driving assistance functions accounted for 42.4%, an increase of nearly 10 percentage points over the same period last year.

With the rapid development momentum of intelligent networked vehicles, the commercialization of safer autonomous driving such as vehicle-road coordination has become a consensus in the industry. By using the "God's perspective" of roadside perception, smart bicycles can gain insight into the existing blind spots in advance, making autonomous driving safer and more efficient.

In order to promote vehicle-road coordination scenarios and build high-level intelligent roads, accelerating the standard and product innovation of infrastructure such as roadside sensing and edge computing has become the key.

At the recent Inspur Information Edge Computing Conference, 38 companies announced the construction of an open edge integration laboratory, and released the latest achievements for communications, transportation, water conservancy, energy and other industries. Among them, in response to the computing power requirements of vehicle-road coordination and high-level autonomous vehicles at urban intersections, Inspur and Baidu jointly released the first generation of vehicle-road coordination roadside computing unit RSCU to accelerate intelligent transportation, which will provide artificial intelligence computing power support on the roadside edge for the first test road section supporting L2 to L4 autonomous driving to be built in Beijing.

Sun Bo, general manager of the edge computing product department of Inspur Information, said that vehicle-road coordination is not only to make the roadside have perception, computing and communication capabilities, but more importantly, it will be combined with urban intelligence and will participate in systematic decision-making analysis such as smart transportation and smart city.

Wang Miao, chief architect of Baidu Vehicle-Road Coordination, said that the roadside edge computing unit integrates all sensor data in the road section and provides a computing platform to realize the digitalization of the roadside. The digitalization and intelligence of the roadside will extend from vehicles to traffic management, and even form an overall data aggregation with urban governance and urban big data operation to achieve "software-defined transportation".

Taking the vehicle-road collaborative roadside computing unit RSCU released this time as an example, Sun Bo pointed out that based on the advantages of both parties in infrastructure, operating system, algorithm, application and other aspects, the flexible computing power design can not only meet the computing power requirements of L2 to L4 high-level autonomous driving fusion applications, improve perception accuracy, reduce data transmission delay, but also connect to upper-layer scenarios through Baidu Zhilu OS operating system, better supporting all scenarios such as smart cities, smart transportation, and high-level autonomous driving. Build a unified transportation computing power base for software and hardware, release edge roadside computing power, and empower the development of urban intelligent transportation.

In Wu Feng's view, on the whole, China's intelligent networked vehicles have shifted from small-scale testing and verification to a new stage of rapid technological development and accelerated ecological construction.

He said that in terms of deepening government demonstration and pilot applications, the Ministry of Industry and Information Technology will work with the Ministry of Transport, the Ministry of Housing and Urban-Rural Development and other departments to accelerate the launch of intelligent networked vehicle access and road traffic pilots to support the commercial application of L3 and higher level autonomous driving functions. "At present, the preliminary preparations for this work have been basically completed and entered the final release process." (End)