Recent advances in the field of Unmanned Aerial Vehicles (UAVs) make flying robots suitable platforms for carrying sensors and computer systems capable of performing advanced tasks. This paper presents a technique which allows detecting humans at a high frame rate on standard hardware onboard an autonomous UAV in a real-world outdoor environment using thermal and color imagery. Detected human positions are geolocated and a map of points of interest is built. Such a saliency map can, for example, be used to plan medical supply delivery during a disaster relief effort. The technique has been implemented and tested on-board the UAVTech autonomous unmanned helicopter platform as a part of a complete autonomous mission. The results of flight-test are presented and performance and limitations of the technique are discussed.


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    Titel :

    Human Body Detection and Geolocalization for UAV Search and Rescue Missions Using Color and Thermal Imagery


    Beteiligte:
    Rudol, Piotr (Autor:in) / Doherty, Patrick (Autor:in)


    Erscheinungsdatum :

    01.03.2008


    Format / Umfang :

    1503571 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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