SUNRISE Ontology
An ontology defining ODD and scenario-related concepts within the SUNRISE project, published via GitHub Pages.
Funded by the European Union under Grant Agreement No. 101069573.
Views and opinions expressed are those of the author(s) only and do not necessarily reflect those of the European Union or CINEA.
The project is open-sourced and maintained by the
Institute for Automotive Engineering (ika) at RWTH Aachen University.
We cover a wide variety of research topics within our
Vehicle Intelligence & Automated Driving domain.
For collaboration inquiries: opensource@ika.rwth-aachen.de.
Overview
The SUNRISE Ontology formalizes key concepts and relationships related to Operational Design Domains (ODDs) and scenarios within the SUNRISE project. It is aligned with the taxonomies defined in ISO 34503 and ISO 34504, ensuring compatibility with international standards for scenario-based testing and verification.
The ontology models dynamic entities, environmental conditions, and scenery elements, together with their attributes. It also captures exposure metrics and scenario metadata, providing a structured foundation for representing and exchanging information in simulation and testing contexts.
https://ika-rwth-aachen.github.io/sunrise_ontology/ontologyhttps://ika-rwth-aachen.github.io/sunrise_ontology/ontology#https://ika-rwth-aachen.github.io/sunrise_ontology/ontology/1.0How to use
Import in Protégé (or any OWL/RDF tool)
- Via IRI:
https://ika-rwth-aachen.github.io/sunrise_ontology/ontology - Or download a file below and open locally.
Programmatic use (Python / rdflib)
from rdflib import Graph
G = Graph().parse("https://ika-rwth-aachen.github.io/sunrise_ontology/ontology.ttl", format="turtle")Serializations
Note: GitHub Pages does not perform HTTP content negotiation. Separate files are provided per format.
Citing
If you use this ontology, please cite the following project deliverable:
Beckmann, J., Zhang, X., de Gelder, E., van Hassel, E., Nieto, M., Ben Nejma, G., & Grabowski, M. (2025).
D5.2 – Harmonised descriptions for content of CCAM safety assessment data framework.
SUNRISE – Safety assUraNce fRamework for connected, automated mobIlity SystEms.
Horizon Europe Research and Innovation Action, Grant Agreement No. 101069573.
License
This ontology is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Developed within the SUNRISE Project, funded by the European Union under grant agreement no. 101069573.
Contact
Maintainer: jobst.beckmann@ika.rwth-aachen.de
GitHub: ika-rwth-aachen/sunrise_ontology
Acknowledgements
This ontology is developed as part of the SUNRISE project.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Climate, Infrastructure and Environment Executive Agency (CINEA). Neither the European Union nor the granting authority can be held responsible for them.