This paper aims to explore the technology of Digital Twin (DT) in intelligent vehicles, especially its integration with intelligent driving. DT is able to create virtual models that are synchronized with the physical counterparts in real time. It can provide services such as digital manufacturing, predictive maintenance and battery management for intelligent vehicles. In the field of intelligent driving, DT can greatly improve vehicle operation management and decision-making processes. The ap-plication of DT in intelligent driving includes the integration of technologies such as advanced driver assistance systems (ADAS) and driver digital twins in electric vehicles. Furthermore, this study examines the DT system framework within intelligent driving. It illustrates how DT builds a powerful data integration and system simulation platform that improves the reliability and safety of intelligent vehicles.


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    Title :

    Review of Digital Twins in Intelligent Driving


    Contributors:
    Zhou, Yangyang (author) / Hu, Dong (author) / Huang, Chao (author) / Huang, Hailong (author)


    Publication date :

    2024-10-25


    Size :

    4004827 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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