2 papers
cs.RO2026
SODA-CitrON: Static Object Data Association by Clustering Multi-Modal Sensor Detections Online
Jan Nausner, Kilian Wohlleben, Michael Hubner
The online fusion and tracking of static objects from heterogeneous sensor detections is a fundamental problem in robotics, autonomous systems, and environmental mapping. Although…
cs.LG2026
An Evidence Hierarchy for Bayesian Object Classification via OSINT-Aided Heterogeneous Sensor Fusion
Jan Nausner, Michael Hubner
Heterogeneous sensor fusion is vital for detecting, localizing, and classifying CBRNE threats. However, individual sensors are often only capable of detecting a subset of relevant…