Application and Prospect of Knowledge Graph in Unmanned Vehicle Field

With the rapid development of unmanned vehicle technology, unmanned vehicle plays an increasingly important role in related fields, which is of great significance to the future development of intelligent transportation. In order to break through the bottleneck of the intelligent degree of existing unmanned vehicles, unmanned vehicle driving technology based on knowledge graph has become one of the development trends. Firstly, this paper gives a brief overview of the decision-making process of unmanned vehicles, and introduces the basic principles and related concepts of unmanned vehicle technology based on knowledge graph. Then the application of knowledge graph in intelligent decision-making of unmanned vehicle is introduced, including target recognition, semantic segmentation, target trajectory prediction and scene understanding. Then an automatic driving decision system based on knowledge graph is proposed. Finally, the future development of intelligent decision-making of unmanned vehicles based on knowledge graph is prospected, and various possibilities of its future development are discussed.