Beijing: Support autonomous driving innovation entities to develop multi-modal fusion sensing technology

According to news on May 30, in order to implement the "Implementation Plan for Beijing to Accelerate the Construction of a Globally Influential Artificial Intelligence Innovation Center (2023-2025)", give full play to the guiding role of the government and the catalytic role of the innovation platform, integrate innovation resources, and strengthen elements Configuration, create an innovation ecosystem, pay attention to risk prevention, and promote Beijing's general artificial intelligence to achieve innovation leadership and rational and healthy development.

Recently, the General Office of the Beijing Municipal People's Government issued a notice on "Several Measures in Beijing to Promote the Innovative Development of General Artificial Intelligence" (hereinafter referred to as the "Measures").

Image source: Official website screenshot

The "Measures" focus on five major directions: improving the overall supply capacity of computing resources, improving the supply capacity of high-quality data elements, systematically building large models and other general artificial intelligence technology systems, promoting the application of general artificial intelligence technology innovation scenarios, and exploring the creation of an inclusive and prudent regulatory environment. 21 specific measures were proposed.

Among them, the "Measures" clarify that it is necessary to accelerate the construction of pilot demonstration areas for data infrastructure systems, explore the creation of data training bases, promote high-level openness of data elements, and improve the scale and quality of the city's artificial intelligence data annotation database. Internet platforms that provide content information services are encouraged to provide high-quality corpus data for innovative entities to apply for and use. Explore cooperation in commercial scenarios based on data contribution and model application.

In addition, the "Measures" also mention that it is necessary to support autonomous driving innovation entities to develop multi-modal fusion sensing technology, based on vehicle-road collaborative data and vehicle driving multi-sensor fusion data, to improve the multi-dimensional perception prediction performance of autonomous driving models and effectively solve the long tail of complex scenarios. problem, to assist in improving the generalization ability of the in-vehicle autonomous driving model.

At the same time, it supports the opening of vehicle-road collaborative autonomous driving data sets in the construction of the Beijing High-level Autonomous Driving Demonstration Zone 3.0 project. Carry out cloud-controlled autonomous driving model testing based on low-latency communication to explore new technological paths for autonomous driving.