Review of Digital Twins in Intelligent Driving

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.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/cvci63518.2024.10830222
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Review of Digital Twins in Intelligent Driving

Yangyang Zhou, Hailong Huang, Dong Hu, Chao Huang
Digital Transformation in Industry
article

Review of Digital Twins in Intelligent Driving

Yangyang Zhou, Hailong Huang, Dong Hu, Chao Huang
article en

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.

Hong Kong Polytechnic University (HK)
Openalex Percentile: Top 62%
Digital Transformation in Industry
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.