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China’s road information technology infrastructure will create more space for intelligent connected vehicles and autonomous vehicles

Kyle Vogt, CEO of Cruise, said: “China’s road information technology infrastructure will create more space for the development of intelligent connected vehicles and autonomous vehicles.”

On March 14, GM CEO Mary Barra and Kyle Vogt, CEO of Cruise, GM subsidiary autonomous driving company participated in the conference “Featured Session: Self-Driving Cars: From Science Fiction to Scale”. Kyle Vogt said that China’s government is encouraging the construction of road information technology infrastructure to create more space for intelligent connected vehicles and autonomous vehicles.

A recent video released by Chinese tech company MOGO AI has proved Kyle Vogt’s viewpoint. In the video, an autonomous driving car completes autonomous lane changing, overtaking, pedestrian avoidance, deceleration and avoidance smoothly in complex traffic flow, relying solely on MOGO AI Station 2.0, the roadside intelligent station.

With all sensors masked. it safely realizes L4 autonomous driving on the urban open road. We learned that the video came from a project of MOGO AI in Hengyang City, Hunan Province, China.

Officially launched in 2021, the project was described by Agence France Presse as “the world’s largest landed project in autonomous driving” at the time, and may be the world’s first city-level autonomous driving project.

It is reported that the implementation of the project of MOGO AI is famous for its “vehicle-road-cloud integrated” system featuring digital transportation, intelligent connected vehicles and autonomous driving. Its product package which includes digital road stations, ICV data services as well as autonomous vehicles and services can fully boost digital road construction and the large-scale application of intelligent connected vehicles.

Among them, MOGO AI Station 2.0 can process complex road traffic elements in real time and provide services for L1-L4 intelligent connected vehicles and autonomous vehicles. By the end of 2022, MOGO AI had successfully landed autonomous driving projects in Beijing, Shanghai, Jiangsu, Zhejiang, Hubei, Sichuan and other regions of China, with a total project value of nearly 1.6 billion US dollars.

This video is very different from the Tesla’s autopilot videos we’re used to seeing. Relying solely on Mogo AI Station 2.0, the car was driving on open road with all sensors covered.

It is known that Mogo AI Station 2.0, the key infrastructure in building urban V2X network, contains a roadside operating system (OS), an edge computing equipment, LiDAR, camera and other hard&software components. A massive deployment of digital road stations will bring about strong computing power.

Meanwhile, with the algorithm capability of the “vehicle-road-cloud integrated” system, the digital road station can realize real-time perception and processing of complex traffic information, thus improving traffic safety and efficiency. Besides, it is capable of providing services for both L1-L4 intelligent connected vehicles and autonomous vehicles.

It can be seen that reasonable technology route, leading technology capability and mature business model are keys to the success of tech enterprises. MOGO AI is just a representative of Chinese tech companies. The autonomous driving technology in China is growing at an incredible speed.

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