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
11 papers · 1 filter
Traversing the Subspace of Adversarial Patches
Jens Bayer, Stefan Becker, David Münch +2
Despite ongoing research on the topic of adversarial examples in deep learning for computer vision, some fundamentals of the nature of these attacks remain unclear. As the manifold…
Excavating in the Wild: The GOOSE-Ex Dataset for Semantic Segmentation
Raphael Hagmanns, Peter Mortimer, Miguel Granero +2
The successful deployment of deep learning-based techniques for autonomous systems is highly dependent on the data availability for the respective system in its deployment environm…
Network transferability of adversarial patches in real-time object detection
Jens Bayer, Stefan Becker, David Münch +1
Adversarial patches in computer vision can be used, to fool deep neural networks and manipulate their decision-making process. One of the most prominent examples of adversarial pat…
A Two-Level Stochastic Model for the Lateral Movement of Vehicles Within Their Lane Under Homogeneous Traffic Conditions
Nicole Neis, Juergen Beyerer
The lateral position of vehicles within their lane is a decisive factor for the range of vision of vehicle sensors. This, in turn, is crucial for a vehicle's ability to perceive it…
Literature Review on Maneuver-Based Scenario Description for Automated Driving Simulations
Nicole Neis, Juergen Beyerer
The increasing complexity of automated driving functions and their growing operational design domains imply more demanding requirements on their validation. Classical methods such…
Realtime Global Optimization of a Fail-Safe Emergency Stop Maneuver for Arbitrary Electrical / Electronical Failures in Automated Driving
F. Duerr, J. Ziehn, R. Kohlhaas +3
In the event of a critical system failures in auto-mated vehicles, fail-operational or fail-safe measures provide minimum guarantees for the vehicle's performance, depending on whi…
Accuracy Evaluation of a Lightweight Analytic Vehicle Dynamics Model for Maneuver Planning
J. R. Ziehn, M. Ruf, M. Roschani +1
Models for vehicle dynamics play an important role in maneuver planning for automated driving. They are used to derive trajectories from given control inputs, or to evaluate a give…
Harnessing Inferior Solutions For Superior Outcomes: Obtaining Robust Solutions From Quantum Algorithms
Pascal Halffmann, Steve Lenk, Michael Trebing
In the rapidly advancing domain of quantum optimization, the confluence of quantum algorithms such as Quantum Annealing (QA) and the Quantum Approximate Optimization Algorithm (QAO…
An Approach to Systematic Data Acquisition and Data-Driven Simulation for the Safety Testing of Automated Driving Functions
Leon Eisemann, Mirjam Fehling-Kaschek, Henrik Gommel +13
With growing complexity and criticality of automated driving functions in road traffic and their operational design domains (ODD), there is increasing demand for covering significa…
Cooperative Automated Driving for Bottleneck Scenarios in Mixed Traffic
M. V. Baumann, J. Beyerer, H. S. Buck +10
Connected automated vehicles (CAV), which incorporate vehicle-to-vehicle (V2V) communication into their motion planning, are expected to provide a wide range of benefits for indivi…
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
Jan-Philipp Redlich, Friedrich Feuerhake, Joachim Weis +9
In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of glioma histopathology images using artificial intelligence (AI) offers new opportunities to s…