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Review of Digital Twins in Intelligent Driving

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2024 8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024 (25-27 Oct 2024)
Pages1-6
ISBN (Electronic)979-8-3315-0489-2
DOIs
Publication statusPublished - Oct 2024
Event8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024 - Chongqing, China
Duration: 25 Oct 2024 → 27 Oct 2024

Conference

Conference8th CAA International Conference on Vehicular Control and Intelligence, CVCI 2024
Country/TerritoryChina
CityChongqing
Period25/10/24 → 27/10/24

Keywords

  • advanced driver assistance systems
  • digital twin
  • intelligent vehicle
  • internet of vehicles

ASJC Scopus subject areas

  • Artificial Intelligence
  • Automotive Engineering
  • Control and Optimization

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