Browsing Rapporter by Author "Haavardsholm, Trym Vegard"

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    • Detection of military objects in LADAR images 

      Palm, Hans Christian; Ajer, Halvor; Haavardsholm, Trym Vegard (2008)
      This report describes different techniques for preprocessing, segmentation, and detection of vehicle sized objects in LADAR images. Five preprocessing strategies are presented; 1) Median filtering, 2) Two 1-D median ...

    • LandX20 Experiment Report – experiment for future land warfare capabilities with focus on increased situational awareness and unmanned systems 

      Mathiassen, Kim; Baksaas, Magnus; Dyrdal Idar; Eikanger, Brage Gerdsønn; Gulbrandsen, Fredrik; Gusland, Daniel; Larsen, Martin Vonheim; Mentzoni, Eilert; Minos-Stensrud, Mathias; Moen, Jonas; Nilssen, Eivind Bergh; Nummedal, Olav Rune; Nygaard, Tønnes; Rolfsjord, Sigmund; Simonsen, Aleksander; Thoresen, Marius; Bakstad, Lorns Harald; Bentsen, Dan Helge; Eggesbø, Christian; Grimstvedt, Eirik Skjelbreid; Haavardsholm, Trym Vegard; Halsør, Marius; Hoelsæter, Øistein; Kolden, David; Krogstad, Thomas Røbekk; Macdonald, Robert Helseth; Nielsen, Niels Hygum; Nonsvik, Guri; Ruud, Else-Line Malene; Seehuus, Rikke Amilde; Wiig, Martin Syre; Østevold, Einar (2022-03-21)
      LandX20 was a collaborative experiment and demonstration where four research projects from the Norwegian Defence Research Establishment (FFI) participated. The goal of the experiment was two-fold. The first goal was to ...

    • A simple Ladar simulator based on ray tracing 

      Haavardsholm, Trym Vegard (2009)
      In the study of ladar image processing, it is useful to have a method for producing synthetic data. This report presents a simple ladar simulator implemented in Matlab, which produces synthetic ladar images by simulating ...

    • Superflow – an efficient processing framework for modern C++ 

      Smestad, Ragnar; Larsen, Martin Vonheim; Haavardsholm, Trym Vegard (2024-04-08)
      This report describes Superflow, a generic data processing framework written in C++. Superflow is made for creating and running flexible processing graphs, where the nodes are individual processing stages, and the edges ...