Innovation Humanities and Social Sciences Research (IHSSR)

Publisher:ISCCAC

Virtual Scene Construction Driven by Digital Twin: A Case Study of Autonomous Driving Simulation Testing
Volume 21, Issue 3, 2025
Authors

Minghao Chai, Jiamei Dai

Corresponding Author

Jiamei Dai

Publishing Date

May 30, 2025

Keywords

Digital Twin, New media, Scene design, Autonomous driving.

Abstract

Digital Twin technology has emerged as a pivotal innovation in contemporary technological development, enabling the creation of virtual models that interact with real-world entities through real-time data. This paper explores the integration of Digital Twin and new media technologies in virtual scene construction, with a particular focus on their applications in autonomous driving simulation testing. By leveraging Unreal Engine’s advanced terrain editing tools, dynamic rendering techniques, and high-precision 3D modeling, this study establishes a high-fidelity virtual test environment for autonomous vehicle development. The research highlights key principles such as fidelity, environmental adaptability, and hierarchical scene composition to enhance realism and interactivity. Moreover, the implementation of dynamic weather conditions and modular design principles ensures a flexible and scalable testing platform. This interdisciplinary approach not only improves simulation accuracy but also provides a robust foundation for optimizing autonomous driving algorithms. The findings underscore the significance of Digital Twin technology in advancing intelligent transportation systems and fostering innovation in virtual scene design.

Copyright

© 2025, the Authors. Published by ISCCAC

Open Access

This is an open access article distributed under the CC BY-NC license