The content of this article is from the "Surveying and Mapping Bulletin" No. 2, 2024, drawing review number: GS Jing (2024) No. 0287
High-precision map data interaction mode of intelligent networked vehicles
Zhang Chuang, Ying Shen, Wang Runze, Wang Shuman, Li Lin
College of Resources and Environmental Sciences, Wuhan University, Wuhan 430079, Hubei, China
Funds: National Key R&D Program of China (2021YFB2501101)
Keywords: high-precision map, vehicle-road-cloud, data interaction, protocol buffer
Citation format: ZHANG Chuang, YING Shen, WANG Runze, et al. High-precision map data interaction mode of intelligent networked vehicles[J]. Bulletin of Surveying and Mapping, 2024(2): 107-112.doi: 10.13474/j.cnki.11-2246.2024.0219
Abstract:With the development of autonomous driving technology, traditional map services can no longer meet the needs of machine-based autonomous vehicles. High-definition maps with higher accuracy, more features, and faster update frequency are the key to autonomous vehicles. The interaction between data from different sources is the guarantee that high-precision maps are used for autonomous driving navigation decision-making. In order to solve the problem of data interaction of high-precision maps in intelligent networked vehicle systems, this paper firstly analyzes the relevant researches, and reorganizes the high-precision map data in intelligent networked vehicles according to the data content and data sources of high-precision maps. Then, the content and interaction mechanism of high-precision map data interaction based on vehicle-road-cloud tripartite are elaborated in detail, and a high-precision map data interaction mode suitable for intelligent networked vehicles is formed. Finally, the designed data interaction mode is verified in the simulation environment.
About author:ZHANG Chuang (1997—), male, master's student, research direction is cartography and geographic information system. E-mail:[email protected] Corresponding author: Li Lin. E-mail:[email protected]
First instance: Yang Ruifang review: Song Qifan
Final Judge: Jin Jun
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