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Auflistung nach Schlagwort "mapping"

1 - 3 von 3
  • Workshopbeitrag
    The Airborne Instruments nUFO – a Movement Based 
Musical Instrument
    (Mensch und Computer 2019 - Workshopband, 2019) Hoelzl, Hannes; Han, Isak; de Campo, Alberto
    The Airborne Instruments nUFO – NonTrivial UFO – is a new Digital Musical Instrument (DMI) that is designed to allow the musician completely free movement of the interactor object in space (airborne). Non-triviality (after H. v. Foerster) is mainly implemented through synthesis processes with a rich “inner life”, i.e. apparently intrinsic behavior, more akin to synthetic creatures than conventional instruments.
The innovative Influx parameter mapping allows for a rich interaction with these processes with little or no training, making it suitable both for beginners that are enabled to create highly immersive sound worlds, and for experienced musicians in search for radically new physical approaches to digital synthesis.
  • Konferenzbeitrag
    Deriving precise orchard maps for unmanned ground vehicles from UAV images
    (42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft, 2022) Schuette, Tjark; Dworak, Volker; Weltzien, Cornelia
    Mapping and environment representation are two of the main challenges in agricultural robotics and are vital to navigation tasks like localisation and path planning. In this work, we present a new method that enables the offline creation of orchard maps for unmanned ground vehicles based on unmanned aerial vehicle imagery. We employ photogrammetry to generate high-resolution 3D point clouds from aerial images. A cloth simulation filter is then used to classify ground and off-ground points. In order to obtain detailed probabilistic occupancy grid maps, per cell statistics are evaluated. First results show promising performance when compared to ground truth positions of orchard bushes and manual labelling.
  • Textdokument
    Modelling Medieval Vagueness
    (INFORMATIK 2020, 2021) Fafinski, Mateusz; Piotrowski, Michael
    The project An Agile Approach Towards Computational Modeling of Historiographical Uncertainty is building a taxonomy of historiographical uncertainty. We are focusing on early medieval texts as our case studies, because they are characterised by a high degree of “high stakes” uncertainty and a varied historiography characterised by a vivid debate. The additional factor of the manuscript text-transmission ensues that also the material aspect of the textual study will be covered in our attempt to build an adaptable taxonomy of historiographical uncertainty. Computational humanities need a robust methodological platform, that can be applied to a wide variety of projects. Uncertainty in general and geographical uncertainty in particular stand as the crucial aspects of this platform. We investigate a methodology of visualising geographical locales in historical texts and their historiographies that explicitly models uncertainty in.