loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Raivo Sell 1 ; Mohsen Malayjerdi 1 ; Ehsan Malayjerdi 2 ; Mauro Bellone 3 and Heiko Pikner 1

Affiliations: 1 Department of Mechanical and Industrial Engineering, Tallinn University of Technology, Estonia ; 2 Volvo Autonomous Solutions, Gothenburg, Sweden ; 3 FinEst Centre for Smart Cities, Tallinn University of Technology, Estonia

Keyword(s): Automated Driving, Industry 5.0, Digital Twin, Validation and Verification.

Abstract: Autonomy and digitalization are megatrends in today’s world and influence our everyday lives on many levels. The same applies to industry, whereas the manufacturing and engineering industry is heavily under digitalization, also known as Industry 4.0. Now the next step is to focus on where human-centric and sustainable resilient processes are considered a priority. This is an Industry 5.0 paradigm, where humans and robots must work together, with social aspects and increased safety in mind. From the product development and engineering point of view, realistic system simulations and digital counterparts are beneficial to ensure proper complex system development and interactions between robots and humans. In this research, we investigate the methodology to design and implement a comprehensive digital twin of an Autonomous Vehicle (AV) interacting in the context of Industry 5.0 and modern industrial environments. We propose a step-by-step digital twin creation methodology for industrial environments where the AV shuttle bus is intended to serve as a mobility service for the workforce connected to industrial processes. In this research, the main focus is a safety assessment and simulations of an AV interaction in the environment and humans. However, the digital twin, once created, can be used for many other simulations and different purposes. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.218.226.136

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Sell, R., Malayjerdi, M., Malayjerdi, E., Bellone, M. and Pikner, H. (2025). Autonomous Vehicle for Industry 5.0: Digital Twin for System Safety Validation. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS; ISBN 978-989-758-745-0; ISSN 2184-495X, SciTePress, pages 660-667. DOI: 10.5220/0013476600003941

@conference{vehits25,
author={Raivo Sell and Mohsen Malayjerdi and Ehsan Malayjerdi and Mauro Bellone and Heiko Pikner},
title={Autonomous Vehicle for Industry 5.0: Digital Twin for System Safety Validation},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS},
year={2025},
pages={660-667},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013476600003941},
isbn={978-989-758-745-0},
issn={2184-495X},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - VEHITS
TI - Autonomous Vehicle for Industry 5.0: Digital Twin for System Safety Validation
SN - 978-989-758-745-0
IS - 2184-495X
AU - Sell, R.
AU - Malayjerdi, M.
AU - Malayjerdi, E.
AU - Bellone, M.
AU - Pikner, H.
PY - 2025
SP - 660
EP - 667
DO - 10.5220/0013476600003941
PB - SciTePress