7.1k citations
- 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
14 papers · 1 filter
Relation-based Motion Prediction using Traffic Scene Graphs
Maximilian Zipfl, Felix Hertlein, Achim Rettinger +5
Representing relevant information of a traffic scene and understanding its environment is crucial for the success of autonomous driving. Modeling the surrounding of an autonomous c…
Sensor Visibility Estimation: Metrics and Methods for Systematic Performance Evaluation and Improvement
Joachim Börger, Marc Patrick Zapf, Marat Kopytjuk +2
Sensor visibility is crucial for safety-critical applications in automotive, robotics, smart infrastructure and others: In addition to object detection and occupancy mapping, visib…
Query-based Industrial Analytics over Knowledge Graphs with Ontology Reshaping
Zhuoxun Zheng, Baifan Zhou, Dongzhuoran Zhou +4
Industrial analytics that includes among others equipment diagnosis and anomaly detection heavily relies on integration of heterogeneous production data. Knowledge Graphs (KGs) as…
Team theAntipodes: Solution Methodology for GTOC11
Roberto Armellin, Laurent Beauregard, Andrea Bellome +7
This paper presents the solution approach developed by the team "theAntipodes" for the 11th Global Trajectory Optimization Competition (GTOC11). The approach consists of four main…
An Enhanced Graph Representation for Machine Learning Based Automatic Intersection Management
Marvin Klimke, Jasper Gerigk, Benjamin Völz +1
The improvement of traffic efficiency at urban intersections receives strong research interest in the field of automated intersection management. So far, mostly non-learning algori…
Self-Supervised Velocity Estimation for Automotive Radar Object Detection Networks
Daniel Niederlöhner, Michael Ulrich, Sascha Braun +5
This paper presents a method to learn the Cartesian velocity of objects using an object detection network on automotive radar data. The proposed method is self-supervised in terms…