Mikko Nikkilä

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We propose a novel approach of distance-based spatial clustering and contribute a heuristic computation of input parameters for guiding users in the search of interesting cluster constellations. We thereby combine computational geometry with interactive visualization into one coherent framework. Our approach entails displaying the results of the heuristics(More)
Mountainous regions are typically hard to access by land; because of this, search operations in hilly terrains are often performed by airborne force such as Unmanned Aerial Vehicles (UAVs). We give algorithms for motion planning and coordination for a team of UAVs under various assumptions on the vehicles equipage/capabilities and present outputs of an(More)
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