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
69 papers
From Code Generator to Engineering Companion: A Plant-aware Agent for PLC Programming
Joschka Kersting, Gesa Benndorf
Programmable Logic Controller (PLC) coding remains a manual, IDE-centric task that demands constant context switching between documentation, project files, and code editors. Recent…
Age and metallicity of the Milky Way's nuclear star cluster studied at 3 pc from Sagittarius A*
E. Gallego-Cano, R. Schödel, T. K. Fritz +5
The Milky Way's nuclear star cluster (NSC) is a unique laboratory to study the formation and evolution of dense stellar systems around a supermassive black hole. Previous work sugg…
Higher-Order Adversarial Patches for Real-Time Object Detectors
Jens Bayer, Stefan Becker, David Münch +2
Higher-order adversarial attacks can directly be considered the result of a cat-and-mouse game -- an elaborate action involving constant pursuit, near captures, and repeated escape…
OGC Geotech Interoperability Experiment Engineering Report
Mickaël Beaufils, Katharina Schleidt, Hylke van Der Schaaf +3
This Engineering Report (ER) describes the outcomes of the Open Geospatial Consortium (OGC) Geotech Interoperability Experiment (IE). The objective of this IE was to develop a comm…
From Real-World Traffic Data to Relevant Critical Scenarios
Florian Lüttner, Nicole Neis, Daniel Stadler +5
The reliable operation of autonomous vehicles, automated driving functions, and advanced driver assistance systems across a wide range of relevant scenarios is critical for their d…
Measuring the Effect of Background on Classification and Feature Importance in Deep Learning for AV Perception
Anne Sielemann, Valentin Barner, Stefan Wolf +3
Common approaches to explainable AI (XAI) for deep learning focus on analyzing the importance of input features on the classification task in a given model: saliency methods like S…
Synset Signset Germany: a Synthetic Dataset for German Traffic Sign Recognition
Anne Sielemann, Lena Loercher, Max-Lion Schumacher +3
In this paper, we present a synthesis pipeline and dataset for training / testing data in the task of traffic sign recognition that combines the advantages of data-driven and analy…
Physically-Based Simulation of Automotive LiDAR
L. Dudzik, M. Roschani, A. Sielemann +4
We present an analytic model for simulating automotive time-of-flight (ToF) LiDAR that includes blooming, echo pulse width, and ambient light, along with steps to determine model p…
Efficient representation of 3D spatial data for defense-related applications
Benjamin Kahl, Marcus Hebel, Michael Arens
Geospatial sensor data is essential for modern defense and security, offering indispensable 3D information for situational awareness. This data, gathered from sources like lidar se…
Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models
Felix Kronenwett, Georg Maier, Thomas Längle
Sensor-based sorting systems enable the physical separation of a material stream into two fractions. The sorting decision is based on the image data evaluation of the sensors used…
Quantum-inspired exoplanet detection in the presence of experimental imperfections
Tomasz Linowski, Konrad Schlichtholz, Giacomo Sorelli
Ideal spatial demultiplexing (SPADE) is proven to be a quantum-optimal tool for exoplanet detection, i.e., asymmetric source discrimination. However, recent investigations into the…
Polygonizing Roof Segments from High-Resolution Aerial Images Using Yolov8-Based Edge Detection
Qipeng Mei, Dimitri Bulatov, Dorota Iwaszczuk
This study presents a novel approach for roof detail extraction and vectorization using remote sensing images. Unlike previous geometric-primitive-based methods that rely on the de…
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…
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
Recent advances in quantum computers are demonstrating the ability to solve problems at a scale beyond brute force classical simulation. As such, a widespread interest in quantum a…