Research on Multi-modal Data Management System for Intelligent Connected Vehicle

The development of intelligent networked vehicle technology and the testing of related algorithms require a large number of datasets as the foundation. The existing datasets are mainly collected from foreign traffic scenarios, which are significantly different from the actual road traffic environment of China. Therefore, it is particularly important to construct local datasets and data management systems. This paper describes in detail the design of multi-modal data management system for Intelligent Connected Vehicle, covering the overall architecture of systems, hardware composition, the design of software function modules, database design, and key steps for data processing. Experiments and tests verified the reliability and effectiveness of the data management system.