Martín Lammerding, David
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Martín Lammerding
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David
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Estadística, Informática y Matemáticas
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ISC. Institute of Smart Cities
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Publication Open Access An ontology-based system to avoid UAS flight conflicts and collisions in dense traffic scenarios(Elsevier, 2023) Martín Lammerding, David; Astrain Escola, José Javier; Córdoba Izaguirre, Alberto; Villadangos Alonso, Jesús; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Gobierno de Navarra / Nafarroako GobernuaNew 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.Publication Embargo Dronetology: a domain ontology for UAS applications(Elsevier, 2025-10-09) Martín Lammerding, David; Astrain Escola, José Javier; Córdoba Izaguirre, Alberto; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISCThe increasing importance of Unmanned Aerial Systems (UAS) has led to the development of various applications, resulting in significant fragmentation in technologies, components, and data formats. The UAS domain must meet stringent requirements regarding safety, regulatory compliance, and interoperability with other systems. It also faces challenges such as efficiency, airspace sharing, scalability, awareness of other aircraft, and effective data analysis. Semantic technologies provide solutions for these challenges, offering interoperability and intelligent decision-making. Ontologies stand out for their ability to model knowledge and facilitate understanding within the UAS domain. This paper introduces Dronetology, https://dronetology.net/dronetology, a domain ontology designed to provide a common framework for UAS concepts. It aims to improve interoperability, data quality, and knowledge integration. Dronetology has been implemented in a decision support prototype using an expert system architecture to address complex UAS use cases, including flight efficiency, collision avoidance, and compliance with regulations. We also outline how Dronetology can be specialized to create application ontologies for specific UAS needs.