984 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Karlsruhe Institute of TechnologyDE21 papers
- Fraunhofer-GesellschaftDE5 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE3 papers
- Fraunhofer Institute for Industrial MathematicsDE3 papers
- Laboratoire Kastler BrosselFR3 papers
- Universität der Bundeswehr MünchenDE3 papers
- University of GdańskPL3 papers
- University of Nevada, Las VegasUS3 papers
- Ames Research CenterUS2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-InstitutDE2 papers
- Fraunhofer Institute for Manufacturing Engineering and AutomationDE2 papers
6 papers · 1 filter
A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking
Sebastian Bullinger, Christoph Bodensteiner, Michael Arens
We propose a framework that extends Blender to exploit Structure from Motion (SfM) and Multi-View Stereo (MVS) techniques for image-based modeling tasks such as sculpting or camera…
A Survey on the Explainability of Supervised Machine Learning
Nadia Burkart, Marco F. Huber
Predictions obtained by, e.g., artificial neural networks have a high accuracy but humans often perceive the models as black boxes. Insights about the decision making are mostly op…
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder
Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
Unsupervised anomaly detection (AD) is a major topic in the field of Cyber-Physical Production Systems (CPPSs). A closely related concern is dimensionality reduction (DR) which is:…
Self-Supervised Learning for Monocular Depth Estimation from Aerial Imagery
Max Hermann, Boitumelo Ruf, Martin Weinmann +1
Supervised learning based methods for monocular depth estimation usually require large amounts of extensively annotated training data. In the case of aerial imagery, this ground tr…
Integration of the 3D Environment for UAV Onboard Visual Object Tracking
Stéphane Vujasinović, Stefan Becker, Timo Breuer +3
Single visual object tracking from an unmanned aerial vehicle (UAV) poses fundamental challenges such as object occlusion, small-scale objects, background clutter, and abrupt camer…
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes
Seyed Majid Azimi, Corentin Henry, Lars Sommer +2
Understanding the complex urban infrastructure with centimeter-level accuracy is essential for many applications from autonomous driving to mapping, infrastructure monitoring, and…