elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving

Westhofen, Lukas and Neurohr, Christian and Butz, Martin and Scholtes, Maike and Schuldes, Michael (2022) Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving. IEEE Open Journal of Intelligent Transportation Systems, 3, pp. 509-538. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/OJITS.2022.3187247. ISSN 2687-7813.

[img] PDF - Published version
3MB

Official URL: https://dx.doi.org/10.1109/OJITS.2022.3187247

Abstract

Knowledge representation and reasoning has a long history of examining how knowledge can be formalized, interpreted, and semantically analyzed by machines. In the area of automated vehicles, recent advances suggest the ability to formalize and leverage relevant knowledge as a key enabler in handling the inherently open and complex context of the traffic world. This paper demonstrates ontologies to be a powerful tool for a) modeling and formalization of and b) reasoning about factors associated with criticality in the environment of automated vehicles. For this, we leverage the well-known 6-Layer Model to create a formal representation of the environmental context. Within this representation, an ontology models domain knowledge as logical axioms, enabling deduction on the presence of critical factors within traffic scenarios. For executing automated analyses, a joint description logic and rule reasoner is used in combination with an a-priori predicate augmentation. We elaborate on the modular approach, present a publicly available implementation, and exemplarily evaluate the method by means of a large-scale drone data set of urban traffic scenarios.

Item URL in elib:https://elib.dlr.de/187496/
Document Type:Article
Title:Using Ontologies for the Formalization and Recognition of Criticality for Automated Driving
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Westhofen, LukasGerman Aerospace Centerhttps://orcid.org/0000-0003-1065-4182UNSPECIFIED
Neurohr, ChristianGerman Aerospace Centerhttps://orcid.org/0000-0001-8847-5147UNSPECIFIED
Butz, MartinBosch Corporate Researchhttps://orcid.org/0000-0002-0000-3020UNSPECIFIED
Scholtes, MaikeRWTH Aachenhttps://orcid.org/0000-0003-2733-5292UNSPECIFIED
Schuldes, Michaelika RWTH AachenUNSPECIFIEDUNSPECIFIED
Date:29 June 2022
Journal or Publication Title:IEEE Open Journal of Intelligent Transportation Systems
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:3
DOI:10.1109/OJITS.2022.3187247
Page Range:pp. 509-538
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2687-7813
Status:Published
Keywords:Intelligent vehicles, Safety, Knowledge representation, Inference mechanisms
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - V&V4NGC - Methoden, Prozesse und Werkzeugketten für die Validierung & Verifikation von NGC
Location: Oldenburg
Institutes and Institutions:Institute of Systems Engineering for Future Mobility > Systems Theory and Design
Deposited By: Westhofen, M.Sc. Lukas
Deposited On:09 Aug 2022 09:01
Last Modified:11 May 2023 10:29

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Website and database design: Copyright © German Aerospace Center (DLR). All rights reserved.