321 citations
- Technische Universität BerlinDE3 papers
- University of BambergDE3 papers
- University of Southern DenmarkDK3 papers
- Anhalt University of Applied SciencesDE2 papers
- Centre National de la Recherche ScientifiqueFR2 papers
- Constructor UniversityDE2 papers
- École Normale Supérieure de LyonFR2 papers
- Freie Universität BerlinDE2 papers
- Karlsruhe Institute of TechnologyDE2 papers
- Laboratoire de Physique de l'ENS de LyonFR2 papers
- Leibniz University HannoverDE2 papers
- Aalborg UniversityDK1 paper
29 papers
6D Rigid Body Localization and Velocity Estimation via Gaussian Belief Propagation
Niclas Führling, Volodymyr Vizitiv, Kuranage Roche Rayan Ranasinghe +4
We propose a novel message-passing solution to the sixth-dimensional (6D) moving rigid body localization (RBL) problem, in which the three-dimensional (3D) translation vector and r…
Learning Maximal Safe Sets Using Hypernetworks for MPC-based Local Trajectory Planning in Unknown Environments
Bojan Derajić, Mohamed-Khalil Bouzidi, Sebastian Bernhard +1
This paper presents a novel learning-based approach for online estimation of maximal safe sets for local trajectory planning in unknown static environments. The neural representati…
CoT-TL: Low-Resource Temporal Knowledge Representation of Planning Instructions Using Chain-of-Thought Reasoning
Kumar Manas, Stefan Zwicklbauer, Adrian Paschke
Autonomous agents often face the challenge of interpreting uncertain natural language instructions for planning tasks. Representing these instructions as Linear Temporal Logic (LTL…
Prediction Accuracy & Reliability: Classification and Object Localization under Distribution Shift
Fabian Diet, Moussa Kassem Sbeyti, Michelle Karg
Natural distribution shift causes a deterioration in the perception performance of convolutional neural networks (CNNs). This comprehensive analysis for real-world traffic data add…
How Could Generative AI Support Compliance with the EU AI Act? A Review for Safe Automated Driving Perception
Mert Keser, Youssef Shoeb, Alois Knoll
Deep Neural Networks (DNNs) have become central for the perception functions of autonomous vehicles, substantially enhancing their ability to understand and interpret the environme…
Cavity Formation in Silica-Filled Rubber Compounds Observed During Deformation by Ultra Small-Angle X-Ray Scattering
Ilya Yakovlev, Michael Sztucki, Frank Fleck +4
When silica-filled rubber compounds are deformed, structural modifications in the material's bulk lead to irreversible damage, the most significant of which is cavitation appearing…