Autonomous Driving Validation and Verification Using Digital Twins

Heiko Pikner, Mohsen Malayjerdi, Mauro Bellone, Barış Baykara, Raivo Sell

2024

Abstract

With the introduction of autonomous vehicles, there is an increasing requirement for reliable methods to validate and verify artificial intelligence components that are part of safety-critical systems. Validation and verification (V&V) in real-world physical environments is costly and unsafe. Thus, the focus is moving towards using simulation environments to perform the bulk of the V&V task through virtualization. However, the viability and usefulness of simulation is very dependent on its predictive value. This predictive value is a function of the modeling capabilities of the simulator and the ability to replicate real-world environments. This process is commonly known as building the digital twin. Digital twin construction is non-trivial because it inherently involves abstracting particular aspects from the multi-dimensional real world to build a virtual model that can have useful predictive properties in the context of the model-of-computation of the simulator. With a focus on the V&V task, this paper will review methodologies available today for the digital twinning process and its connection to the validation and verification process with an assessment of strengths/weaknesses and opportunities for future research. Furthermore, a case study involving our automated driving platforms will be discussed to show the current capabilities of digital twins connected to their physical counterparts and their operating environment.

Paper Citation

in Harvard Style

Pikner H., Malayjerdi M., Bellone M., Baykara B. and Sell R. (2024). Autonomous Driving Validation and Verification Using Digital Twins. In Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-703-0, SciTePress, pages 204-211. DOI: 10.5220/0012546400003702

in Bibtex Style

@conference{vehits24,
author={Heiko Pikner and Mohsen Malayjerdi and Mauro Bellone and Barış Baykara and Raivo Sell},
title={Autonomous Driving Validation and Verification Using Digital Twins},
booktitle={Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2024},
pages={204-211},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012546400003702},
isbn={978-989-758-703-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Autonomous Driving Validation and Verification Using Digital Twins
SN - 978-989-758-703-0
AU - Pikner H.
AU - Malayjerdi M.
AU - Bellone M.
AU - Baykara B.
AU - Sell R.
PY - 2024
SP - 204
EP - 211
DO - 10.5220/0012546400003702
PB - SciTePress