safety-av-nav-ontology
Navigation Ontology for Autonomous Vehicles Under Sensor Uncertainty
Science Score: 57.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (5.2%) to scientific vocabulary
Repository
Navigation Ontology for Autonomous Vehicles Under Sensor Uncertainty
Basic Info
- Host: GitHub
- Owner: MHarbi
- Default Branch: main
- Size: 29.3 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Safety-AV-Nav-Ontology
Ontology for Safety of Navigation Sensors in Autonomous Vehicles
Understanding and handling uncertainties associated with navigation sensors in autonomous vehicles (AVs) is vital to enhancing their safety and reliability. Given the unpredictable nature of real-world driving environments, accurate interpretation and management of such uncertainties can significantly improve navigation decision-making in AVs. This paper proposes a novel semantic model (ontology) for navigation sensors and their interactions in AVs, focusing specifically on sensor uncertainties. At the heart of this new ontology is understanding the sources of sensor uncertainties within specific environments. The ultimate goal of the proposed ontology is to standardize knowledge of AV navigation systems for the purpose of alleviating safety concerns that stand in the way of widespread AV adoption. The proposed ontology was evaluated with scenarios to demonstrate its functionality.
Citation
Please cite this ontology in your publications if it helps your research:
Alharbi, M. and A. Karimi, H. (2023). Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD; ISBN 978-989-758-671-2; ISSN 2184-3228, SciTePress, pages 231-239. DOI: 10.5220/0012207300003598
Or, you may use GitHub feature "Cite this repository".
Owner
- Name: Mohammed Alharbi
- Login: MHarbi
- Kind: user
- Repositories: 1
- Profile: https://github.com/MHarbi
Citation (CITATION.cff)
cff-version: 1.2.0
message: "If you use this ontology, please cite it as below."
authors:
- family-names: "Alharbi"
given-names: "Mohammed"
orcid: "https://orcid.org/0000-0002-9293-4905"
- family-names: "Karimi"
given-names: "Hassan A."
title: "Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles"
url: "https://github.com/MHarbi/Safety-AV-Nav-Ontology"
preferred-citation:
type: conference-paper
authors:
- family-names: "Alharbi"
given-names: "Mohammed"
orcid: "https://orcid.org/0000-0002-9293-4905"
- family-names: "Karimi"
given-names: "Hassan A."
title: "Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles"
year: 2023
booktitle: "Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD"
publisher: {SciTePress}
month: 11
doi: {10.5220/0012207300003598}
isbn: {978-989-758-671-2}
issn: {2184-3228}
pages: {231--239}