Digital Twin Architecture for Autonomous Driving Validation and Verification

Data-driven technologies enable emerging software solutions to blur the line between virtual and the physical systems. Digital twin is a key enabler technology to this phenomenon used primarily in the Internet of Things era. Combined with realistic user interfaces, digital twins surrogate physical s...

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Bibliographic Details
Published in:	2023 14th International Conference on Electrical and Electronics Engineering (ELECO) pp. 1 - 6
Main Authors:	Kizilirmak, Orkun, Kaplan, Emre, Guzay, Cagri
Format:	Conference Proceeding
Language:	English
Published:	IEEE 30.11.2023
Subjects:	Automobiles Computer architecture Data models Delays Digital twins Monitoring Virtual environments
Online Access:	Get full text
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Summary:	Data-driven technologies enable emerging software solutions to blur the line between virtual and the physical systems. Digital twin is a key enabler technology to this phenomenon used primarily in the Internet of Things era. Combined with realistic user interfaces, digital twins surrogate physical systems on a virtual environment and provide time sensitive access to the physical system's parameters. By the paradigm shift towards the software-based systems in the automotive industry, digital twins can play a vital role and provides a hybrid approach for function verification and validation. In this work, we propose a digital twin architecture for abstraction and monitoring of the vehicles in order to accomplish validation and verification in a virtual environment to reduce cost and development time. Our architecture enables near real-time monitoring represented in an abstracted virtual environment and all kinds of vehicles can be represented our well-crafted software-based simulator.
DOI:	10.1109/ELECO60389.2023.10416035