This paper presents a distributed mission planning system that enables a team of autonomous underwater vehicles (AUVs) for effective underwater chlorophyll sampling. The proposed system is developed based on a distributed algorithm that optimizes the real-time task allocation and mission planning of AUVs in a cooperative fashion while considering environmental and vehicular constraints to ensure efficient and coordinated sampling efforts. A realistic case study of a chlorophyll sampling mission in Australia's Great Barrier is utilized to investigate the performance of the proposed system in a restricted mission time and in the exposure to the uncertainty of the mission. Simulation studies confirm the effectiveness and resilience of the proposed system and showcase its potential as a valuable tool for advancing underwater chlorophyll sampling missions.


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    Titel :

    AUVs' Distributed Mission Planning System for Effective Underwater Chlorophyll Sampling


    Beteiligte:


    Erscheinungsdatum :

    12.02.2024


    Format / Umfang :

    1383782 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Underwater acoustic telemetry for AUVs

    Hinton, O. | IET Digital Library Archive | 1996


    Improved underwater acoustic communication for AUVs

    Fiorillo, M. / Izra, J. / Ekhaus, I. | Tema Archiv | 1990


    MCL: A mission control language for AUVs

    Palomeras, N. / Ridao, P. / Carreras, M. et al. | Tema Archiv | 2007


    Guidance of AUVs for Autonomous Underwater Inspection

    Jacobi, Marco / Karimanzira, Divas | Tema Archiv | 2015