collaborators

5 papers

cs.RO2026

Who Is Responsible? Self-Adaptation Under Multiple Concurrent Failures With Unknown Faults in Complex Robotic Systems

Andreas Wiedholz, Rafael Paintner, Julian Gleißner +2

Robotic systems increasingly operate in dynamic, unpredictable environments, where tightly coupled sensors and software modules increase the probability of a single failure cascadi…

cs.RO2026

SUNSET - A Sensor-fUsioN based semantic SegmEnTation exemplar for ROS-based self-adaptation

Andreas Wiedholz, Rafael Paintner, Julian Gleißner +3

The fact that robots are getting deployed more often in dynamic environments, together with the increasing complexity of their software systems, raises the need for self-adaptive a…

cs.CV2025

Systematic Literature Review on Vehicular Collaborative Perception -- A Computer Vision Perspective

Lei Wan, Jianxin Zhao, Andreas Wiedholz +7

The effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, cur…

cs.CV2025

R-LiViT: A LiDAR-Visual-Thermal Dataset Enabling Vulnerable Road User Focused Roadside Perception

Jonas Mirlach, Lei Wan, Andreas Wiedholz +2

In autonomous driving, the integration of roadside perception systems is essential for overcoming occlusion challenges and enhancing the safety of Vulnerable Road Users(VRUs). Whil…

cs.CL2025

LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews

Christian Jaumann, Andreas Wiedholz, Annemarie Friedrich

The scientific literature is growing rapidly, making it hard to keep track of the state-of-the-art. Systematic literature reviews (SLRs) aim to identify and evaluate all relevant p…