Ontology-based Processing of Dynamic Maps in Automated Driving
Haonan Qiu, Haonan Qiu, Adel Ayara, Birte Glimm
2020
Abstract
Autonomous cars act in a highly dynamic environment and consistently have to provide safety and comfort to the passengers. For a car to understand its surroundings, a detailed, high-definition digital map is needed, which acts as a powerful virtual “sensor”. Compared to traditional digital maps, high-definition maps require significantly more storage space, which makes it largely impossible to store a complete map in a navigation system. Furthermore, map data is provided in numerous heterogeneous formats. Consequently, interoperability and scalability have become the main challenges of existing map processing solutions. We address these challenges by providing an interoperable knowledge-spatial architecture layer based on ontologies and confirm the scalability in an empirical evaluation.
DownloadPaper Citation
in Harvard Style
Qiu H., Ayara A. and Glimm B. (2020). Ontology-based Processing of Dynamic Maps in Automated Driving. In Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD; ISBN 978-989-758-474-9, SciTePress, pages 98-107. DOI: 10.5220/0010133900980107
in Bibtex Style
@conference{keod20,
author={Haonan Qiu and Adel Ayara and Birte Glimm},
title={Ontology-based Processing of Dynamic Maps in Automated Driving},
booktitle={Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD},
year={2020},
pages={98-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010133900980107},
isbn={978-989-758-474-9},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2020) - Volume 2: KEOD
TI - Ontology-based Processing of Dynamic Maps in Automated Driving
SN - 978-989-758-474-9
AU - Qiu H.
AU - Ayara A.
AU - Glimm B.
PY - 2020
SP - 98
EP - 107
DO - 10.5220/0010133900980107
PB - SciTePress