47 citations
- Karlsruhe Institute of TechnologyDE2 papers
- Otto-von-Guericke-Universität MagdeburgDE2 papers
- Technical University of MunichDE2 papers
- Berlin School of Economics and LawDE1 paper
- Fraunhofer Institute for High-Speed Dynamics, Ernst-Mach-InstitutDE1 paper
- Fraunhofer Institute for Industrial EngineeringDE1 paper
- Fraunhofer Institute of Optronics, System Technologies and Image ExploitationDE1 paper
- German Research Centre for Artificial IntelligenceDE1 paper
- Stuttgart Media UniversityDE1 paper
- Technische Hochschule IngolstadtDE1 paper
- University of California, Los AngelesUS1 paper
7 papers
AVOID-JACK: Avoidance of Jackknifing for Swarms of Long Heavy Articulated Vehicles
Adrian Schönnagel, Michael Dubé, Christoph Steup +2
This paper presents a novel approach to avoiding jackknifing and mutual collisions in Heavy Articulated Vehicles (HAVs) by leveraging decentralized swarm intelligence. In contrast…
FITS: Towards an AI-Driven Fashion Information Tool for Sustainability
Daphne Theodorakopoulos, Elisabeth Eberling, Miriam Bodenheimer +2
Access to credible sustainability information in the fashion industry remains limited and challenging to interpret, despite growing public and regulatory demands for transparency.…
The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression
Pravin Pandey, Julia Reuter, Christoph Steup +1
This paper shows how a Graph Neural Network (GNN) can be used to learn an Inverse Kinematics (IK) based on an automatically generated dataset. The generated Inverse Kinematics is g…
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…
Scalable Radar-based Roadside Perception: Self-localization and Occupancy Heat Map for Traffic Analysis
Longfei Han, Qiuyu Xu, Klaus Kefferpütz +3
4D mmWave radar sensors are suitable for roadside perception in city-scale Intelligent Transportation Systems (ITS) due to their long sensing range, weatherproof functionality, sim…
FedBEVT: Federated Learning Bird's Eye View Perception Transformer in Road Traffic Systems
Rui Song, Runsheng Xu, Andreas Festag +2
Bird's eye view (BEV) perception is becoming increasingly important in the field of autonomous driving. It uses multi-view camera data to learn a transformer model that directly pr…