283 citations
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Hochschule AalenDE2 papers
- Aalto UniversityFI1 paper
- Academy of Performing Arts in PragueCZ1 paper
- Agence Parisienne du ClimatFR1 paper
- Airbus (Germany)DE1 paper
- Amsterdam University CollegeNL1 paper
- Amsterdam University of Applied SciencesNL1 paper
- APCON (Germany)DE1 paper
- Astrophysique, Instrumentation et ModélisationFR1 paper
- Canadian Bar AssociationCA1 paper
- Capgemini (Netherlands)NL1 paper
10 papers
On Digital Twins in Defence: Overview and Applications
Marco Giberna, Holger Voos, Paulo Tavares +4
Digital twins have emerged as a transformative technology for modeling and simulation in various industries, including defense. This paper provides a comprehensive review of digita…
Analysis and Mitigation of Crosstalk in a Multi-Parameter Laser Beam Diagnostic System
Benjamin Nagler
Accurate characterization of laser beams is crucial for applications ranging from laser-based material processing to gravitational wave detection, where even minor measurement devi…
The X-ray Integral Field Unit at the end of the Athena reformulation phase
Philippe Peille, Didier Barret, Edoardo Cucchetti +279
The Athena mission entered a redefinition phase in July 2022, driven by the imperative to reduce the mission cost at completion for the European Space Agency below an acceptable ta…
Utilizing Grounded SAM for self-supervised frugal camouflaged human detection
Matthias Pijarowski, Alexander Wolpert, Martin Heckmann +1
Visually detecting camouflaged objects is a hard problem for both humans and computer vision algorithms. Strong similarities between object and background appearance make the task…
Joint tone mapping and denoising of thermal infrared images via multi-scale Retinex and multi-task learning
Axel Gödrich, Daniel König, Gabriel Eilertsen +1
Cameras digitize real-world scenes as pixel intensity values with a limited value range given by the available bits per pixel (bpp). High Dynamic Range (HDR) cameras capture those…
A Framework for Benchmarking Real-Time Embedded Object Detection
Michael Schlosser, Daniel König, Michael Teutsch
Object detection is one of the key tasks in many applications of computer vision. Deep Neural Networks (DNNs) are undoubtedly a well-suited approach for object detection. However,…