Análisis y planificación de misiones de búsqueda y rescate en el entorno marítimo

  1. Eva Besada-Portas 1
  2. José Luis Risco-Martín 1
  3. José Antonio López-Orozco 1
  4. Juan José Navarro-Corcuera 2
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Airbus Defence & Space
Libro:
XL Jornadas de Automática: libro de actas. Ferrol, 4-6 de septiembre de 2019
  1. Jose Luis Calvo Rolle (coord.)
  2. Jose Luis Casteleiro Roca (coord.)
  3. María Isabel Fernández Ibáñez (coord.)
  4. Óscar Fontenla Romero (coord.)
  5. Esteban Jove Pérez (coord.)
  6. Alberto José Leira Rejas (coord.)
  7. José Antonio López Vázquez (coord.)
  8. Vanesa Loureiro Vázquez (coord.)
  9. María Carmen Meizoso López (coord.)
  10. Francisco Javier Pérez Castelo (coord.)
  11. Andrés José Piñón Pazos (coord.)
  12. Héctor Quintián Pardo (coord.)
  13. Juan Manuel Rivas Rodríguez (coord.)
  14. Benigno Rodríguez Gómez (coord.)
  15. Rafael Alejandro Vega Vega (coord.)

Editorial: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-716-9

Ano de publicación: 2019

Páxinas: 8-15

Congreso: Jornadas de Automática (40. 2019. Ferrol)

Tipo: Achega congreso

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Resumo

Automated decision and planning tolos can increment the effectiveness of maritime Search And Rescue (SAR) operations. Hence, the scientific community and companies are developing new probabillistic modelling and vehiche-trajectory optimization algorithms to be integrated in their mission systems. The objective of this work is to describe the main features of a new maritime SAR tool developed by AIRBUS and UCM researchers, which incorporates several evaluation strategies, optimizes the vehicle trajectory with genetic algorithms and the movement of the electro-optic sensor (used in the search) with simmulated annealing, and allows the operator to compare and select the best solutions according to different critera.

Fonte de datos: Dialnet