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- European Space Operations CentreDE8 papers
- Technical University of MunichDE8 papers
- Universität UlmDE8 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- European Space Astronomy CentreES6 papers
- European Space Research and Technology CentreNL6 papers
- Karlsruhe Institute of TechnologyDE6 papers
- Technische Universität DresdenDE6 papers
- University of BremenDE5 papers
- University of StuttgartDE5 papers
- Centro de AstrobiologíaES4 papers
- Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR)DE4 papers
6 papers · 1 filter
Revisiting Neural Program Smoothing for Fuzzing
Maria-Irina Nicolae, Max Eisele, Andreas Zeller
Testing with randomly generated inputs (fuzzing) has gained significant traction due to its capacity to expose program vulnerabilities automatically. Fuzz testing campaigns generat…
Deep learning based Meta-modeling for Multi-objective Technology Optimization of Electrical Machines
Vivek Parekh, Dominik Flore, Sebastian Schöps
Optimization of rotating electrical machines is both time- and computationally expensive. Because of the different parametrization, design optimization is commonly executed separat…
System Theoretic View on Uncertainties
Roman Gansch, Ahmad Adee
The complexity of the operating environment and required technologies for highly automated driving is unprecedented. A different type of threat to safe operation besides the fault-…
Discovery of Perception Performance Limiting Triggering Conditions in Automated Driving
Ahmad Adee, Roman Gansch, Peter Liggesmeyer +2
Highly automated driving (HAD) vehicles are complex systems operating in an open context. Performance limitations originating from sensing and understanding the open context under…
Systematic Modeling Approach for Environmental Perception Limitations in Automated Driving
Ahmad Adee, Roman Gansch, Peter Liggesmeyer
Highly automated driving (HAD) vehicles are complex systems operating in an open context. Complexity of these systems as well as limitations and insufficiencies in sensing and unde…
PrecTime: A Deep Learning Architecture for Precise Time Series Segmentation in Industrial Manufacturing Operations
Stefan Gaugel, Manfred Reichert
The fourth industrial revolution creates ubiquitous sensor data in production plants. To generate maximum value out of these data, reliable and precise time series-based machine le…