An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios

Martín Lammerding, David; Astrain Escola, José Javier; Córdoba Izaguirre, Alberto; Villadangos Alonso, Jesús

Publication:
An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios

dc.contributor.author	Martín Lammerding, David
dc.contributor.author	Astrain Escola, José Javier
dc.contributor.author	Córdoba Izaguirre, Alberto
dc.contributor.author	Villadangos Alonso, Jesús
dc.contributor.department	Estadística, Informática y Matemáticas	es_ES
dc.contributor.department	Estatistika, Informatika eta Matematika	eu
dc.contributor.department	Institute of Smart Cities - ISC	en
dc.contributor.funder	Gobierno de Navarra / Nafarroako Gobernua	es
dc.date.accessioned	2023-02-14T12:13:46Z
dc.date.available	2023-02-14T12:13:46Z
dc.date.issued	2023
dc.date.updated	2023-02-14T11:49:58Z
dc.description.abstract	New Unmanned Aerial Systems (UAS) applications will increase air traffic densities in metropolitan regions. Collision avoidance systems (CAS) are a key component in integrating a high number of UAS into the airspace in a safe way. This paper presents a distributed, autonomous, and knowledge-based CAS, called Dronetology System (DroS), for UASs. The CAS proposed here is managed using a novel ontology, called Dronetology-cas, which allows to make autonomous decisions according to the knowledge inferred from the data gathered by the UAS. DroS is deployed as part of the payload of the UAS. So, it is designed to run in an embedded platform with limited processing capacity and low battery consumption. DroS collects data from sensors and collaborative elements to make smart decisions using knowledge obtained from collaborative UASs, adapting the maneuvers of the aerial vehicles to their original flight plans, their kind of vehicle, and the collision scenario. DroS accountability involves recording its internal operation to assist with reconstructing the circumstances surrounding an autonomous maneuver or the details previous to a collision. DroS has been verified using the hardware in the loop (HIL) technique with a UAS traffic environment simulator. Results obtained show a significant improvement in terms of safety by avoiding collisions.	en
dc.description.sponsorship	This work has been supported in part by the Ministerio de Ciencia e Innovación (Spain) under the research grant RTI2018-095499-B-C31 IoTrain; in part by Agencia Estatal de Investigación (AEI) and European Union NextGeneration EU/PRTR PLEC2021-007997: Holistic power lines predictive maintenance system; and in part by the Government of Navarre (Departamento de Desarrollo Económico) under the research grants 0011-1411-2021-000021 EMERAL: Emergency UAVs for long range operations, 0011-1365-2020-000078 DIVA, and 0011-1411-2021-000025 MOSIC: Plataforma logística de largo alcance, eléctrica y conectada.	en
dc.format.mimetype	application/pdf	en
dc.identifier.citation	Martín-Lammerding, D., Astrain, J. J., Córdoba, A., & Villadangos, J. (2023). An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios. Expert Systems with Applications, 215, 119027. https://doi.org/10.1016/j.eswa.2022.119027	en
dc.identifier.doi	10.1016/j.eswa.2022.119027
dc.identifier.issn	0957-4174
dc.identifier.uri	https://academica-e.unavarra.es/handle/2454/44698
dc.language.iso	eng	en
dc.publisher	Elsevier	en
dc.relation.ispartof	Expert Systems with Applications 215 (2023) 119027	en
dc.relation.projectID	info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095499-B-C31/ES/	en
dc.relation.projectID	info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PLEC2021-007997	en
dc.relation.publisherversion	https://doi.org/10.1016/j.eswa.2022.119027
dc.rights	© 2023 The Authors. This is an open access article under the CC BY-NC-ND license	en
dc.rights.accessRights	Acceso abierto / Sarbide irekia	es
dc.rights.accessRights	info:eu-repo/semantics/openAccess	en
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject	UAS	en
dc.subject	Ontology	en
dc.subject	Autonomous	en
dc.subject	Collision avoidance systems	en
dc.subject	Knowledge	en
dc.subject	Situational-awareness	en
dc.title	An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios	en
dc.type	Artículo / Artikulua	es
dc.type	info:eu-repo/semantics/article	en
dc.type.version	Versión publicada / Argitaratu den bertsioa	es
dc.type.version	info:eu-repo/semantics/publishedVersion	en
dspace.entity.type	Publication
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