A Knowledge Layer in Data-Centric Architectures in the Automotive Industry

Haonan Qiu, Adel Ayara, Christian Muehlbauer

2023

Abstract

As the automotive industry continues its evolution towards connected and autonomous vehicles, the need to adopt a data-centric architecture for providing sophisticated driving functions increasing important. Compared to traditional application-centric architecture, data-enteric architecture allows the collection, aggregation and analysis of data from various sources. However, such architecture lack of inference capability makes it not leverage the full potential of established AI technologies such as knowledge representation and reasoning. In this work, it is our goal to investigate how we can incorporate a knowledge layer in a data centric architecture that allows reasoning and thus support decision making. A prototype is implemented and deployed in both vehicle and backend, and the feasibility is evaluated through a real-world experiment.

Paper Citation

in Harvard Style

Qiu H., Ayara A. and Muehlbauer C. (2023). A Knowledge Layer in Data-Centric Architectures in the Automotive Industry. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 296-303. DOI: 10.5220/0012255000003598

in Bibtex Style

@conference{keod23,
author={Haonan Qiu and Adel Ayara and Christian Muehlbauer},
title={A Knowledge Layer in Data-Centric Architectures in the Automotive Industry},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={296-303},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012255000003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - A Knowledge Layer in Data-Centric Architectures in the Automotive Industry
SN - 978-989-758-671-2
AU - Qiu H.
AU - Ayara A.
AU - Muehlbauer C.
PY - 2023
SP - 296
EP - 303
DO - 10.5220/0012255000003598
PB - SciTePress