Hello, Mr. Dong! The company has always claimed that it has a huge amount of maps and other important data, and has already laid out algorithms. Do you have any plans to develop a large AI model for autonomous driving to mine the value of data and thus enhance the company's core competitiveness? Thank you!

NavInfo: Hello, the company has a massive 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 large 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 to explore 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 the delivery to the 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 enabled through maps. NavInfo has connected to Haomo DriveGPT Snow Lake·Hairuo, and can use the DriveGPT Snow Lake·Hairuo algorithm capabilities to improve the level of map automation. 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 complex urban scenarios, create a full-scene data ecological closed loop for autonomous driving services, and jointly promote the development of automotive intelligence. Thank you.