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Causal Models to Support Scenario-Based Testing of ADAS

  • In modern vehicles, system complexity and technical capabilities are constantly growing. As a result, manufacturers and regulators are both increasingly challenged to ensure the reliability, safety, and intended behavior of these systems. With current methodologies, it is difficult to address the various interactions between vehicle components and environmental factors. However, model-based engineering offers a solution by allowing to abstract reality and enhancing communication among engineers and stakeholders. Applying this method requires a model format that is machine-processable, human-understandable, and mathematically sound. In addition, the model format needs to support probabilistic reasoning to account for incomplete data and knowledge about a problem domain. We propose structural causal models as a suitable framework for addressing these demands. In this article, we show how to combine data from different sources into an inferable causal model for an advanced driver-assistance system. We then consider the developed causal model for scenario-based testing to illustrate how a model-based approach can improve industrial system development processes. We conclude this paper by discussing the ongoing challenges to our approach and provide pointers for future work.

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Metadaten
Author:Robert Maier, Lisa GrabingerORCiD, David Urlhart, Jürgen MottokORCiDGND
DOI:https://doi.org/10.1109/TITS.2023.3317475
ISSN:1524-9050
Parent Title (English):IEEE Transactions on Intelligent Transportation Systems
Publisher:IEEE
Document Type:Article
Language:English
Year of first Publication:2023
Release Date:2023/10/19
Tag:Automation; Bayesian networks; Causal inference; Data models; ISO Standards; Safety; Task analysis; Testing; Vehicles; automated driving systems; model-based testing
First Page:1
Last Page:17
Institutes:Fakultät Elektro- und Informationstechnik
Fakultät Elektro- und Informationstechnik / Laboratory for Safe and Secure Systems (LAS3)
Begutachtungsstatus:peer-reviewed
research focus:Digitalisierung
Licence (German):Keine Lizenz - Es gilt das deutsche Urheberrecht: § 53 UrhG