Abstract
A digital twin (DT) is a virtual representation of a physical asset that is virtually indistinguishable from its physical counterpart. It includes design and engineering details that describe the asset's geometry, materials, components, and behavior or performance. In other words, it is a digital counterpart of a physical entity. Based on this, this paper takes the application of digital twin in the study of intelligent vehicles as a theme to reduce the difficulty of R&D and help researchers improve their academic research capabilities through the application of various aspects of vehicle structure, sensor data, and ergonomics. This can be reflected in the areas of vehicle structure design, sensor data presentation and analysis, human model building and simulation, and improving research efficiency.
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