Beijing Economic and Technological Development Zone will build a networked cloud-controlled high-level autonomous driving demonstration zone by the end of this year, which means that the development of intelligent connected vehicles has entered a new stage.
At the 2020 Zhongguancun Forum theme event "Beijing High-level Autonomous Driving Demonstration Zone Launch Conference", Kong Lei, member of the Beijing Economic and Technological Development Zone Working Committee and deputy director of the Management Committee, released the construction plan for Beijing's high-level autonomous driving demonstration zone.
After comprehensive research, Beijing has chosen the economic and technological development zone with the most suitable resources for the development of the intelligent connected industry.
Image source: auto.hexun
The Economic and Technological Development Zone has a special administrative system, has full authorization from the municipal government for trials first, and has strong government resource integration capabilities; the Economic and Technological Development Zone has the country's leading innovation resource advantages, with industry institutions such as the National New Energy Vehicle Technology Innovation Center authorized by the Ministry of Science and Technology, the China Automotive Intelligent Connected Vehicle Innovation Center authorized by the Ministry of Industry and Information Technology, and the Beijing Intelligent Vehicle Industry Innovation Center authorized by Beijing, and has outstanding innovation resource advantages.
The economic development zone also has superior location conditions. It is not in the city center, but has a complete urban form, a concentration of scientific and industrial talents, and a high degree of social acceptance and tolerance for new things.
The demonstration zone will be built around the Beijing Economic and Technological Development Zone (60 square kilometers). By 2022, the construction of the five major systems of "smart roads, smart cars, real-time cloud, reliable network and accurate map" will be completed, the key technical and management links of networked cloud-controlled autonomous driving will be connected, a city-level engineering test platform will be formed, and a series of application scenarios will be commercialized and a batch of intermediate products will be promoted and applied.
Yang Diange, professor at the School of Automotive Engineering and Transportation at Tsinghua University, introduced at the press conference that this networked cloud-controlled high-level autonomous driving demonstration zone in Beijing Economic and Technological Development Zone can not only target single intelligent vehicles, but also low-level autonomous driving vehicles. These vehicles can achieve high-level autonomous driving once they enter the demonstration zone.
As for autonomous driving, it is the product of the deep integration of electronics, communications, artificial intelligence, big data and the automotive industry. It is the commanding heights that countries are currently vying for in industrial development.
Domestic and foreign autonomous driving companies mainly adopt the single-vehicle intelligent technology route, but due to insufficient single-vehicle perception and high production costs, the single-vehicle intelligent technology route cannot achieve large-scale operation of L4 and above autonomous driving vehicles in the short term.
In recent years, China has proposed a technology route for connected autonomous driving. At the same time, the European Union has released a technology roadmap for connected autonomous driving. The U.S. state of Michigan has begun building its first connected autonomous driving corridor. Well-known vehicle manufacturers such as Audi have begun to deploy V2X vehicle-road collaboration-related functions in their products.
In this regard, after in-depth research, Beijing has decided to build a high-level autonomous driving demonstration zone to accelerate the large-scale operation of L4 and above high-level autonomous driving. The autonomous driving demonstration zone will be promoted step by step according to the steps of stage 1.0 (test environment construction), stage 2.0 (small-scale deployment), stage 3.0 (large-scale deployment and scenario expansion), and stage 4.0 (promotion and scenario optimization). After forming a mature model, it will be gradually replicated and promoted to other areas in Beijing.
Currently, Beijing has started the 1.0 phase of construction, deploying intelligent infrastructure for 10 kilometers of urban roads, 10 kilometers of expressways and 1 AVP parking lot.
According to the technical standards set by the Society of Automotive Engineers, autonomous driving is divided into multiple levels, from L1 to L5. According to the construction plan of the Internet-connected cloud-controlled high-level autonomous driving demonstration zone, the demonstration zone will support high-level autonomous driving above L4, while being backward compatible with the test operation and vehicle networking application scenarios of low-level autonomous driving vehicles.
It is reported that the construction of the demonstration zone in the future will adopt the approach of "small steps and fast progress, iterative improvement", with an iteration cycle of 3 to 6 months, constantly revising and improving the subsequent construction methods and content, and advancing step by step according to the steps of test environment construction, small-scale deployment, large-scale deployment and scenario expansion, promotion and scenario optimization. After a mature model is formed, it will be gradually replicated and promoted to other areas of Beijing.
Kong Lei introduced that the Internet-connected cloud control is a higher stage of the development of intelligent Internet-connected vehicles, that is, vehicles can not only perceive information, but also use cloud data to make decisions, judgments and controls. In the future, the Internet-connected cloud control automatic driving system will gradually be integrated into the system of smart city construction.
Autonomous driving is the product of the deep integration of electronics, communications, artificial intelligence, big data and the automotive industry. It is the commanding heights that all countries are currently vying to seize in industrial development.
At present, domestic and foreign autonomous driving companies mainly adopt the single-vehicle intelligent technology route. Due to various factors, the single-vehicle intelligent technology route cannot achieve large-scale operation of L4 and above autonomous driving vehicles in the short term. First, there are deficiencies in single-vehicle perception. It is impossible to achieve "beyond visual range" and solve the "visual blind spot". Second, the production cost remains high and is not enough to support the commercial scale production of autonomous driving vehicles. Third, it is difficult to solve the long-tail challenge. Extreme scenarios and other problems require a lot of tests and real scenarios to solve, which is difficult to achieve in reality. Fourth, group intelligence planning cannot be coordinated. Single-vehicle intelligence cannot achieve the optimal group traffic or regional traffic.
In recent years, my country has proposed a technology route for autonomous driving based on networking, which has gradually been widely recognized by the international community. At the same time, the European Union has released a technology roadmap for connected autonomous driving, and Michigan, the United States, has begun to build the first connected autonomous driving corridor. Well-known vehicle companies such as Audi have begun to deploy V2X vehicle-road collaboration related functions in their products, and the industry consensus is constantly building. But overall, there are still many difficulties in the implementation of autonomous driving based on networking: First, in terms of technology, key links such as high-reliability, low-latency communication technology, and algorithms for integrated perception and decision-making have not been fully resolved. Second, in terms of management, the decentralized and isolated management system does not match the needs of integrated road digital facilities. Third, in terms of business model, the traditional government infrastructure model is difficult to sustain. Fourth, in terms of industry promotion, no company can take on everything, and it is far from enough to support according to the traditional industry support rules.
After in-depth research, Beijing has decided to build a high-level autonomous driving demonstration zone to accelerate the large-scale operation of L4 and above high-level autonomous driving. On the basis of supporting the continued iteration and improvement of single-vehicle intelligence, Beijing will focus on building the world's first networked cloud-controlled high-level autonomous driving demonstration zone. Through the deep integration of vehicle and network, vehicle-road collaboration can be achieved, the role of network terminals can be played, vehicle-side costs can be reduced, and automotive product innovation and industrial transformation can be promoted.
Previous article:L4 autonomous driving Robobus is launched globally and will be put into operation on bus lines
Next article:How can we rely on new energy vehicles if we don’t know a little about power batteries?
- Popular Resources
- Popular amplifiers
- A review of deep learning applications in traffic safety analysis
- Dual Radar: A Dual 4D Radar Multimodal Dataset for Autonomous Driving
- A review of learning-based camera and lidar simulation methods for autonomous driving systems
- Multimodal perception parameterized decision making for autonomous driving
- Huawei's Strategic Department Director Gai Gang: The cumulative installed base of open source Euler operating system exceeds 10 million sets
- Analysis of the application of several common contact parts in high-voltage connectors of new energy vehicles
- Wiring harness durability test and contact voltage drop test method
- Sn-doped CuO nanostructure-based ethanol gas sensor for real-time drunk driving detection in vehicles
- Design considerations for automotive battery wiring harness
- Do you know all the various motors commonly used in automotive electronics?
- What are the functions of the Internet of Vehicles? What are the uses and benefits of the Internet of Vehicles?
- Power Inverter - A critical safety system for electric vehicles
- Analysis of the information security mechanism of AUTOSAR, the automotive embedded software framework
Professor at Beihang University, dedicated to promoting microcontrollers and embedded systems for over 20 years.
- Innolux's intelligent steer-by-wire solution makes cars smarter and safer
- 8051 MCU - Parity Check
- How to efficiently balance the sensitivity of tactile sensing interfaces
- What should I do if the servo motor shakes? What causes the servo motor to shake quickly?
- 【Brushless Motor】Analysis of three-phase BLDC motor and sharing of two popular development boards
- Midea Industrial Technology's subsidiaries Clou Electronics and Hekang New Energy jointly appeared at the Munich Battery Energy Storage Exhibition and Solar Energy Exhibition
- Guoxin Sichen | Application of ferroelectric memory PB85RS2MC in power battery management, with a capacity of 2M
- Analysis of common faults of frequency converter
- In a head-on competition with Qualcomm, what kind of cockpit products has Intel come up with?
- Dalian Rongke's all-vanadium liquid flow battery energy storage equipment industrialization project has entered the sprint stage before production
- Allegro MicroSystems Introduces Advanced Magnetic and Inductive Position Sensing Solutions at Electronica 2024
- Car key in the left hand, liveness detection radar in the right hand, UWB is imperative for cars!
- After a decade of rapid development, domestic CIS has entered the market
- Aegis Dagger Battery + Thor EM-i Super Hybrid, Geely New Energy has thrown out two "king bombs"
- A brief discussion on functional safety - fault, error, and failure
- In the smart car 2.0 cycle, these core industry chains are facing major opportunities!
- The United States and Japan are developing new batteries. CATL faces challenges? How should China's new energy battery industry respond?
- Murata launches high-precision 6-axis inertial sensor for automobiles
- Ford patents pre-charge alarm to help save costs and respond to emergencies
- New real-time microcontroller system from Texas Instruments enables smarter processing in automotive and industrial applications
- The CPU cooling fan of Linux keeps spinning, and the CPU usage is as high as 99%
- FAQ_Use the start tone command to test the center frequency
- [STM32WB55 Review] BLE protocol stack and dual-core communication
- Simple Discrete Single-Ended-to-Differential Precision Instrumentation Amplifier Circuit: High Common-Mode Input Range, 50% Power Saving
- Date spring meet beauty
- CAN communication interface design
- Medical Ventilators +STONE Touch Screen + STM32 Medical Ventilators +STONE Touch Screen + STM32
- 4G low power LTE wireless communication module information sharing
- Introduction to charging system with high efficiency charge pump charger
- I got another fun board from Espressif. Anyone want to play with it? ? Go to the post to find out.