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In this paper we propose distributed algorithms that solve the coverage problem in 3D space. In particular, we use a swarm of unmanned aerial vehicles (UAVs) in order to explore a possibly unknown area. Actual use cases include the automated acquisition of sensory data in operations that try to gain extensive knowledge about an area. First, we try to efficiently cover a predefined 3D space with multiple...
Unmanned Aerial Vehicles (UAVs) gained a lot popularity during the last years and are used in many applications ranging from reconnaissance over disaster recovery to remote sensing. In most applications some sort of communication link is needed to transmit telemetry and payload data. Especially for homeland security and civil operations the realization is sometimes very demanding due to missing radio...
Based on the recent developments in the area of lithium polymer batteries and carbon fiber-reinforced plastic materials Micro Unmanned Aerial Vehicles (MUAV) have significantly gained in importance. Therefore, the use of MUAV based swarms is a feasible approach for remote sensing, surveillance and in particular for emergency and rescue missions [1][2]. Developing MUAVs which operate at low altitudes...
Based on recent developments in the area of lithium polymer batteries and carbon fiber-reinforced plastic materials Micro Unmanned Aerial Vehicles (MUAVs) significantly gain in importance. One of the challenges in using third party cellular networks for MUAV utilization lies in the directivity of the widely used antennas, which are usually illuminating the ground area but not the aerial user space...
For clarification, containment and combat of large danger areas, fast and flexible survey of potentially contaminated areas is an emerging challenge. In this paper we present a project that focuses on incidents, that are caused by uncontrolled emissions of liquid or gaseous contaminants (e.g. explosive or toxic gases or liquids, biological, chemical or nuclear weapons). Instead of sending specially...
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