Does the company have any cooperation with Huawei? With such a large amount of travel data, has the company considered cooperating with other AI companies for faster development? ? ?

NavInfo: Hello, the company has signed relevant agreements with Huawei in the early stage to provide comprehensive data, technical support and operation services for its Huaban map development platform and derived application services. The company has a large amount of GIS data, traditional maps, high-precision map data and autonomous driving data. It has the dual identities of map vendor, cockpit and autonomous driving tier 1, and has the largest data pool required to train the industry's large models. It won't be long before the big models will exhaust the so-called high-quality texts publicly available on the Internet, and the value of our non-public (legal and regulatory requirements), professional, scenario-based data pool, and the ability to update from many sources will gradually be discovered and priced by the market. The company's autonomous driving team began exploring in 2015, and has successively applied lightweight generative algorithms to solve the problem of insufficient data in special scenarios in autonomous driving, the problem that general regulatory control algorithms cannot pass in complex scenarios, etc. It has always insisted on combining algorithms with specific engineering problems in the industry to reflect value. At present, it has fully launched delivery to leading electric vehicle companies and is in the process of rapid scale-up. Taking the cooperation between the company and Haomo as an example, Haomo Zhixing's high-level assisted driving products have been empowered through maps. NavInfo has connected to Haomo DriveGPT Snow Lake Hairuo, which can improve the level of map automation with the help of DriveGPT Snow Lake Hairuo algorithm capabilities. At the same time, through close cooperation with DriveGPT Snow Lake Hairuo, the two parties can solve the problem of how to quickly implement automated driving in more and more complex urban scenarios, create a full-scenario data ecological closed loop for autonomous driving services, and jointly promote the development of automotive intelligence. Thank you.