Multi-UAS minimum time search in dynamic and uncertain environments
Unmanned Aerial Vehicles (UAVs) have experienced a huge development during the last decades and are nowadays used in many different applications such as defense, fire extinction or search and rescue missions. During the development of these missions, the operators monitor and control the UAVs from t...
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| Tipo de recurso: | tesis doctoral |
| Fecha de publicación: | 2019 |
| País: | España |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/10666 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/10666 |
| Access Level: | acceso abierto |
| Palabra clave: | 004.3(043.2) Hardware Computer input-output equipment |
| Sumario: | Unmanned Aerial Vehicles (UAVs) have experienced a huge development during the last decades and are nowadays used in many different applications such as defense, fire extinction or search and rescue missions. During the development of these missions, the operators monitor and control the UAVs from the Ground Control Station (GCS) with a level of control that depends of the autonomy of the Unmanned Aerial System (UAS), formed by the UAVs, the GCS and the communication between both. Although the use of multiple UAVs generally improves the performance of the missions, it also increases the operator workload, which may end up causing operator overload (specially in UAS with low autonomy level). Therefore, the operator overload can be avoided by the development of more autonomous UAS and tools that decrease the workload of operators during the mission planning and execution. Following this idea, Airbus proposed an innovation project in collaboration with several Spanish Universities entitled "Situational Awareness Virtual EnviRonment" (SAVIER). This thesis is framed in that project and focuses on Minimum Time Search (MTS) missions, where a target with unknown position and dynamics needs to be found as soon as possible... |
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