Seven major areas of new capital construction
Autopilot into the fast lane
Compared with the traditional "Iron Gong Ji", "New Infrastructure" has a strong industrial Internet gene, which is a "fusion" development process, emphasizing the use of many existing cutting-edge technologies to transform and upgrade traditional industries. From this perspective, the technology accumulation of many scientific and technological enterprises in China over the years has laid the foundation for the development of "new infrastructure".
With what? Take artificial intelligence, one of the seven sectors of "new infrastructure", as an example. Autopilot integrates almost all technical types of artificial intelligence, which can be said to be the crown of AI technology. Its development and application involve many aspects from the underlying hardware to AI technology and platform, including chips, sensors, computer vision, cloud platforms, big data services and other technical sectors, covering complex sub-industrial chains such as environmental awareness, decision-making, high-precision mapping and positioning, vehicle networking V2X, decision control, testing and verification.
Tencent self-driving car road test
Every industrial revolution is driven by energy, transportation and information. With the country's strong support for the development of new energy industry, the popularization of large-bandwidth and low-delay 5G communication networks, and the construction of intelligent roads, autonomous driving will enter the fast lane of development.
Technology companies have increased their technical investment in the field of autonomous driving.
In the past few years, in order to realize the commercialization of autonomous driving, many technology companies represented by Tencent have invested a lot of resources and reserved sufficient technical capital for autonomous driving to meet the era of "new infrastructure".
1, the high-precision map covers the national highways and expressways.
Taking high-precision map as an example, it can provide accurate vehicle position information and rich road element data information for vehicles, and help vehicles predict complex road information, such as slope, curvature, route and so on. For self-driving cars above L4 level, high-precision maps are necessary.
There are only a handful of enterprises with high-precision map production qualifications in China, and Tencent is one of them. At present, Tencent's high-precision map team has completed high-precision map collection and data production of highways and expressways in key cities across the country, and L4-class self-driving cars based on high-precision maps have also started road testing.
2. Landing application of automatic driving simulation technology
Testing and verification is a major difficulty in the landing of autonomous driving technology. Absolute safety is the expectation and requirement of human beings for self-driving cars, and the industry generally believes that to achieve this, at least 1 1 100 million miles of test data are needed to optimize the automatic driving system. This requires 100 vehicles to run around the clock at a speed of 40km/h for more than 500 years, which is an unattainable goal for any enterprise.
In order to accumulate enough test data, using simulation platform to improve test efficiency has become a common choice in the industry. Tencent also used powerful game engine, industrial vehicle dynamics model, three-dimensional reconstruction and other technologies to build an automatic driving simulation system TAD? Simulated world.
Comparison of Simulation Effects of Yuanbo Road in Shanghai
Through high-precision and extensible simulation technology, Tencent autopilot simulation platform can build scenes that are infinitely close to the real world according to specific needs, which can not only meet the requirements of iterative testing, but also improve the efficiency of autopilot research and development. In addition to scene-based cloud simulation, Tencent has also built a cloud simulation based on virtual cities, which enables self-driving cars to run continuously in a virtual environment, supports large-scale parallel acceleration, improves test efficiency, and meets the verification requirements of the development of autonomous driving technology.
At present, the national intelligent networked automobile "Changsha" test center and other automatic driving test and verification institutions are also using Tencent simulation platform to explore innovative applications of test and verification.
3. adapt to the times? Layout 5G-V2X
V2X is another key technology of automatic driving towards landing, where V stands for vehicle and X stands for any object interacting with vehicle. At present, X mainly includes vehicles, people, roadside infrastructure and networks. The function of this technology is to open the closed loop of traffic, roads and people, realize real-time information interaction between vehicles and the outside world, make up for the lack of bicycle intelligence to the greatest extent, and ensure that self-driving cars can drive safely in extremely complicated traffic environments.
V2X technology needs to rely on the wide bandwidth and low latency information interaction brought by 5G. In the "new infrastructure", 5G construction, as the key to supporting the digital, networked and intelligent transformation of the economy and society, is listed as the top priority.
In the application of 5G-V2X, Tencent Future Network Lab officially released the open source platform of 5G vehicle-road collaboration in May 2065438+2009, focusing on the field of vehicle-road collaboration based on edge computing, focusing on solving the industry pain points such as low penetration rate of terminal equipment, no mainstream software reaching users, lack of effective connection of road equipment and fragmentation of road information, and promoting the rapid landing of intelligent networked automobile applications.
Conclusion:
On the one hand, the new infrastructure boom has brought more development opportunities to science and technology enterprises. On the other hand, the innovative exploration of science and technology enterprises also provides a foundation for new infrastructure. It can be said that the technology companies represented by Tencent have a large number of cutting-edge technologies, which can help players in the autonomous driving industry achieve rapid development and promote the construction of intelligent transportation systems with the help and popularization of "new infrastructure".
In the future, with the "new infrastructure" fully rolled out, the upstream and downstream of the autonomous driving industry chain will usher in greater development space. Such a virtuous circle is of great significance to the construction of intelligent transportation system represented by autonomous driving technology and even the overall development of the whole society.
This article comes from car home, the author of the car manufacturer, and does not represent car home's position.