Modelado y optimización de misiones de búsqueda de objetivos mediante UAVs
- Sara Pérez-Carabaza 1
- Eva Besada-Portas 1
- José Antonio López-Orozco 1
- Gemma Blasco 2
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1
Universidad Complutense de Madrid
info
- 2 Airbus Defence & Space
- Jose Luis Calvo Rolle (coord.)
- Jose Luis Casteleiro Roca (coord.)
- María Isabel Fernández Ibáñez (coord.)
- Óscar Fontenla Romero (coord.)
- Esteban Jove Pérez (coord.)
- Alberto José Leira Rejas (coord.)
- José Antonio López Vázquez (coord.)
- Vanesa Loureiro Vázquez (coord.)
- María Carmen Meizoso López (coord.)
- Francisco Javier Pérez Castelo (coord.)
- Andrés José Piñón Pazos (coord.)
- Héctor Quintián Pardo (coord.)
- Juan Manuel Rivas Rodríguez (coord.)
- Benigno Rodríguez Gómez (coord.)
- Rafael Alejandro Vega Vega (coord.)
Publisher: Servizo de Publicacións ; Universidade da Coruña
ISBN: 978-84-9749-716-9
Year of publication: 2019
Pages: 574-581
Congress: Jornadas de Automática (40. 2019. Ferrol)
Type: Conference paper
Abstract
Looking for lost targets with one or several UAVs is a problem with applications ranging from military search missions to search and rescue operations after natural disasters. The search time can be minimized by an algorithm that determines the UAVs routes that minimize the expected time of target detection considering the available information and uncertainty associated with each mission and search scenario. Moreover, the suitability of the routes proposed by these algorithms depends both on the used optimization techniques and on the adaptation of the models to the available information and existing uncertainty. Therefore, this article addresses the MTS problem from a global perspective that includes the search scenario modelling phase and the trajectory optimization by means of evolutionary metaheuristics.