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Authors: Mohammed Alharbi 1 ; 2 and Hassan A. Karimi 1

Affiliations: 1 Geoinformatics Laboratory, School of Computing and Information, University of Pittsburgh, Pittsburgh, PA 15260, U.S.A. ; 2 College of Computer Science and Engineering, Taibah University, Medina 42353, Saudi Arabia

Keyword(s): Autonomous Vehicles, Ontologies, Sensor Uncertainty, Uncertainty Assessment, Autonomous Navigation.

Abstract: 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.

CC BY-NC-ND 4.0

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Paper citation in several formats:
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

@conference{keod23,
author={Mohammed Alharbi and Hassan {A. Karimi}},
title={Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD},
year={2023},
pages={231-239},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012207300003598},
isbn={978-989-758-671-2},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KEOD
TI - Towards Developing an Ontology for Safety of Navigation Sensors in Autonomous Vehicles
SN - 978-989-758-671-2
IS - 2184-3228
AU - Alharbi, M.
AU - A. Karimi, H.
PY - 2023
SP - 231
EP - 239
DO - 10.5220/0012207300003598
PB - SciTePress

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