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Unmanned Aerial Vehicles (UAVs) have been used for reconnaissance and surveillance missions as far back as the Vietnam War, but\udwith the recent rapid increase in autonomy, precision and performance capabilities – and due to the massive reduction in cost and size\ud– UAVs have become pervasive products, available and affordable for the general public. The use cases for UAVs are in the areas of\uddisaster recovery, environmental mapping & protection and increasingly also as extended eyes and ears of civil security forces such as\udfire-fighters and emergency response units. In this paper we present a swarm algorithm that enables a fleet of autonomous UAVs to\udcollectively perform sensing tasks related to environmental and rescue operations and to dynamically adapt to e.g. changing resolution\udrequirements. We discuss the hardware used to build our own drones and the settings under which we validate the proposed approach

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

DISTRIBUTED UAV-SWARM-BASED REAL-TIME GEOMATIC DATA COLLECTION UNDER DYNAMICALLY CHANGING RESOLUTION REQUIREMENTS