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On August 22nd, the 3rd Global Smart Car Frontier Summit (GIV2020), an annual event in the field of smart cars, was held in Guangzhou. More than a dozen big coffees from car companies, supply chains, autonomous driving and other companies took turns to take the stage and shared their views on the opportunities for change in the automobile industry, as well as the development direction of technologies such as car networking, car-road coordination and autonomous driving.
Different from the breakthrough of bicycle intelligence emphasized in previous years' meetings, vehicle-road coordination has become a hot topic at this year's meeting.
GIV2020 scene
Ran Bin, Dean of the Southeast University-University of Wisconsin Intelligent Networked Transportation Joint Research Institute, clearly pointed out that vehicle-road collaboration is the only way for the development of the autonomous driving industry, and the future will be a model of integrated and coordinated development of vehicles, roads, networks and clouds.
Chen Wei, chief scientist of China Mobile Research Institute, believes that the Internet of Vehicles technology can make up for the lack of car perception, but it faces the problem of insufficient infrastructure penetration. Popularizing vehicle-road coordination technology and deploying sensing and communication equipment on the roadside can effectively solve this problem.
Wu Dongsheng, senior vice president and general manager of strategy and brand of Gao Xin, a veteran player in the field of car networking and smart transportation, also took the stage to express his views.
He pointed out that the vehicle-road coordination system supported by the Internet of Vehicles technology will help the autonomous driving industry come ahead of schedule. However, at present, it still faces commercialization problems such as large investment and fragmentation of operating entities, which need to be broken through urgently.
In this regard, based on the rich technology and experience accumulated in the field of vehicle networking and intelligent transportation, Star has taken the lead in launching a variety of solutions to help self-driving vehicles drive on open roads, which has made beneficial exploration for the mass production application of vehicle-road collaborative technology and the future cross-border integration with public transportation and urban management systems.
Demonstration effect of emergency vehicle priority function
So what are the key achievements of high-tech exploration? What role does Gao Xinxing play at a time when vehicle-road collaborative technology has become a new outlet in the industry and accelerated development? After this conference, Che Dongxi also had an in-depth dialogue with Wu Dongsheng and found the answer to the question.
First, the coordinated development of vehicles and roads? Gao xinxing breaks through the commercialization problem
After years of development, autonomous driving technology is in a critical period from research and development to landing. However, due to the current technical level, bicycle intelligence can't solve all the problems, and the high-level autonomous driving technology has a limited landing. Even the most advanced Google Waymo in the world has not been commercialized on a large scale.
Based on the limitations of bicycle intelligence and the rapid development of communication technologies such as 5G, the government of China has shifted the development focus of intelligent networked vehicles to the path of vehicle-road coordination, hoping to realize the mass production of autonomous driving technology through technologies such as vehicle networking, roadside perception and cloud decision-making, so as to realize the construction of intelligent transportation system.
Since the beginning of this year, relevant policy documents such as "Innovative Development Strategy of Smart Cars" and "Notice on Doing a Good Job in Transportation to Promote Consumption Expansion and Quality Improvement" have been issued one after another, and the button of coordinated and accelerated development of vehicles and roads has been pressed.
Orientation is easy and mass production is difficult.
Technically, vehicle-road coordination technology involves both sides of vehicles and roads, and each side has a large number of communication equipment, sensing equipment and edge computing equipment from different suppliers. Communication protocols, data formats, cloud platforms and other standards are different, so it is difficult to coordinate.
In terms of business model, there is no conclusion on which scenes all kinds of equipment of vehicle-road coordination should be laid, the division of investors and operators, and the payment rules of unmanned taxi companies and smart car owners, and large-scale commercialization is facing obstacles.
Based on the rich technology and experience accumulated in the field of car networking and smart transportation, Gao Xinxing took the lead in coming up with his own answer.
In July this year 1 1, Wen Yuan Zhixing, as the first unmanned vehicle in China, was driving on the open road of Guangzhou Bio-Island (the security officer was remotely monitoring in the office), which promoted the domestic autonomous driving industry to take a key step.
Previously, Wenyuan Zhixing and Gao Xinxing have successfully verified several application scenarios of vehicle-road coordination and bicycle intelligence in Guangzhou.
Demonstration effect of detection function of high emerging pedestrians and non-motor vehicles
In Bio-Island Intelligent Networked Automobile Base, Gao Xinxing deployed complete vehicle-road coordination equipment on the roadside, including communication unit, edge computing unit, lidar, intelligent vehicle terminal and so on. Relying on traffic lights and 4G/5G network, traffic lights and road information on the ground can be transmitted to Wen Yuan Zhixing unmanned taxi in real time, which makes up for the limitation of bicycle perception and decision-making ability and ensures driving safety.
Some roadside and vehicle-side equipment deployed by Gao Xinxing in Guangzhou Bio-Island.
To sum up, vehicle-road collaboration has thoroughly solved key technical problems such as multi-equipment collaboration and system platform construction, and promoted the rapid development of the autonomous driving industry.
In addition, it should be noted that exploring unmanned taxis is only one direction of high-tech vehicle-road collaborative solutions, and there are also solutions for self-driving buses, unmanned sanitation vehicles, city shuttle buses and other scenarios. It can be said that a systematic and comprehensive path has been explored for the concrete landing of vehicle-road collaborative technology, which has important reference significance for the mass production of the whole vehicle-road collaborative industry and autonomous driving technology.
Second, the old guns of smart traffic poured into the track? Two advantages help to break the game.
There is no shortage of players in the car-road collaborative track. Internet giants such as BAT, network operators such as China Mobile and Telecom, and automobile industry companies such as Guangzhou Automobile and Mainland China are all actively involved.
But in terms of real technology landing, why did Gao Xinxing come to the front? The answer is its technology and experience accumulated in the field of intelligent transportation and car networking for more than ten years.
Gao Xinxing was founded in 1997. At the beginning, its business direction was communication equipment, and its main customers were domestic operators. After the listing of 20 10 Gaoxin, it quickly focused on the construction of a safe city and intelligent transportation in the security field, and launched a series of system products with independent intellectual property rights, including AR live cameras, traffic integrated command platforms, traffic signal control and optimization systems, and traffic super-melting nuclear cloud command platforms. And quickly seize the domestic market. At present, there are more than 200 smart cities and intelligent transportation projects in China.
20 16 with the rise of the wave of automobile intelligence and networking, Gao Xinxing, who is emerging in the field of smart transportation, has successively acquired ZTE IOT and ZTE Zhilian, the car networking subsidiaries of ZTE, and started to exert their efforts in the field of car networking, and launched a series of products such as car networking C-V2X, RSU, car T-BOX, OBU, etc., and became the first batch in China to launch 5G modules and terminals, and get through 5G? SA mode module manufacturer.
Demonstration effect of signal release function of high emerging traffic lights
The core technology of intelligent vehicle infrastructure cooperation system involves communication, perception, edge computing and other fields, which is just an emerging advantage.
Based on the precipitation of cellular communication technology for decades, Gaoxinxing has a profound accumulation in the wireless connection technology of the Internet of Things, especially in RFID, NB-IOT and 5G? Internet of things technologies such as V2X. Communication started, and then absorbed ZTE's subsidiary, forming a technical synergy, and its strength can not be underestimated.
Coupled with the accumulation in the field of 4G/5G communication, Gao Xinxing took the lead in launching a complete and commercially available vehicle-road coordination scheme, which is naturally handy and handy.
Third, the car-road synergy broke out? Who can be a guide?
Domestic vehicle-road collaborative industry is in the ascendant. With the definition of strategies and routes related to new infrastructure, intelligent transportation and intelligent networked vehicles, the path of vehicle-road coordination has been continuously emphasized and has become an important support for the development of new infrastructure, intelligent transportation and intelligent networked vehicles.
At the same time, however, how to open traffic, roads and clouds, and how to run a feasible business model in the field of vehicle-road coordination are all problems that need to be solved. Car-road collaborative industry urgently needs head players to play a leading role.
From this point of view, combing Gao Xinxing's deployment in vehicle-road coordination and vehicle networking, we can find that there are two core directions: one is the transformation of traditional traffic road facilities, and the current focus is mainly on solving safety problems and efficiency problems. The typical case is "Smart expressway Solution". Secondly, for the deployment of vehicle-road cooperative autonomous driving, as mentioned above, the typical scenario includes both robotaxi and autonomous driving connection.
Although according to Gartner technology maturity curve (Gartner? Cycle), autonomous driving itself has entered a trough, approaching the eve of revival. However, at present, an understanding in the industry is that autonomous driving will not be profitable for a long time. Just before, Didi also said that it will invest in autonomous driving for another ten years.
Then, at this time, Gao Xinxing painstakingly laid out the coordinated automatic driving of vehicles and roads. As a company, what are the considerations?
Wu Dongsheng's answer to this question is simple and general, which can be said to be "looking up at the road while farming".
Intelligent Transportation Service (ITS) is a high-emerging basic disk, and vehicle networking and related vehicle-road coordination and vehicle-road cooperative automatic driving belong to the expected incremental space. At the same time, they can be deeply integrated.
First of all, the car networking market is growing rapidly. High-tech emerging now cut into the layout with autonomous driving, which can pave the way for their own future and play a leading role in the industry itself. Secondly, the traditional intelligent transportation market is relatively mature, and the positioning of high-tech emerging markets is almost clear, with relatively limited growth. Finally, new technologies such as vehicle networking and vehicle-road coordination can also drive the digitalization and networking of traditional intelligent transportation services, and form differentiated advantages in the original business.
At this point, how to balance the role of enterprise survival and industry leaders, Gao Xinxing seems to have a clear answer.
This article comes from car home, the author of the car manufacturer, and does not represent car home's position.
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