We present and compare myopic with non-myopic algorithms for the sensor scheduling problem in 1-to-N multi-target tracking applications. A UAV, equipped with limited sensor resources is tasked to search and track multiple dispersed ground objects. In general, not all observations can be carried out simultaneously. Therefore, a scheduling algorithm that produces an observation sequence is required. We propose an object detection prediction model, which supports the scheduling algorithm in choosing observations with high expected utility.


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    Titel :

    Sensor Scheduling Strategies for 1-to-N Multi-Object Tracking


    Beteiligte:
    Koch, Simon (Autor:in) / Krach, Bernhard (Autor:in) / Katsilieris, Fotios (Autor:in) / Stutz, Peter (Autor:in)


    Erscheinungsdatum :

    2022-09-18


    Format / Umfang :

    1134098 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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