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  • Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces

    Boitumelo Ruf

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    This work addresses the use of commercial off-the-shelf rotor-based unmanned aerial vehicles (UAVs) to facilitate emergency forces in the rapid structural assessment of a disaster site by means of aerial image-based reconnaissance. It proposes a framework that consists of two parts and relies on the integrated stereo vision sensor and the visual payload camera of the UAV to execute three high-level applications that aim at facilitating first responders in disaster relief missions.

    Umfang: XXII, 204 S.

    Preis: 53.00 €

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    Empfohlene Zitierweise
    Ruf, B. 2023. Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000149436
    Ruf, B., 2023. Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000149436
    Ruf, B. Fast Dense Depth Estimation from Uav-borne Aerial Imagery for the Assistance of Emergency Forces. KIT Scientific Publishing, 2023. DOI: https://doi.org/10.5445/KSP/1000149436
    Ruf, B. (2023). Fast Dense Depth Estimation from UAV-borne Aerial Imagery for the Assistance of Emergency Forces. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000149436
    Ruf, Boitumelo. 2023. Fast Dense Depth Estimation from Uav-borne Aerial Imagery for the Assistance of Emergency Forces. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.5445/KSP/1000149436




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    Veröffentlicht am 9. Januar 2023

    Sprache

    Englisch

    Seitenanzahl:

    240

    ISBN
    Paperback 978-3-7315-1229-5

    DOI
    https://doi.org/10.5445/KSP/1000149436