Two widely used technologies for remote sensing and aerial geomatics missions, LiDAR and photogrammetry, have been analyzed. The deployed drones have been also classified into two major groups: real-time and post processing kinematic. The post-processing kinematic is less error and risk-prone due to the less mandatory communication lines between the satellite, the drone and its station and the Continuously Operating Reference Stations. It has been shown that the challenge of the vulnerability of drones to the GPS signal loss can be overcome by visual odometry. The obtained results can be used for various flight mission tasks in many industry branches.


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    Titel :

    Comparing Embedded Technologies for Aerial Geomatics Using Unmanned Aerial Systems


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Vatin, Nikolai (Herausgeber:in) / Pakhomova, Ekaterina Gennadyevna (Herausgeber:in) / Kukaras, Danijel (Herausgeber:in) / Bulgakov, Alexey (Autor:in) / Sayfeddine, Daher (Autor:in) / Yu, Wen-der (Autor:in) / Buzalo, Natalia (Autor:in)


    Erscheinungsdatum :

    2022-10-14


    Format / Umfang :

    8 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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