Eduard Semsch

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We address the problem of multi-UAV-based surveillance in complex urban environments with occlusions. The problem consists of controlling the flight of UAVs with on-board cameras so that the coverage and recency of the information about the designated area is maximized. In contrast to the existing work, sensing constraints due to occlusions and UAV motion(More)
Intelligent agents are gaining widespread applications in many trading markets. Although the US wholesale power market comprises a large commodity market, the mechanism of power trading is not clearly investigated. We explore the problem via an intelligent agent-based approach. We create an artificial wholesale market, where many different traders are(More)
We present an agent-based coordination and planning method for autonomous aerial surveillance of multiple urban areas using a group of fixed-wing unmanned aerial vehicles (UAVs). The goal of the surveillance is to observe a set of ground points of interest within the target areas as often as possible. The method differs from the existing work by explicit(More)
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