Prof. Dr. Martin Atzmüller

Head of Research Department Plan-Based Robot Control

Contact +49 541 386050 2287 (Osnabrück)

Address (Osnabrück)

Publications

Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors
J. Schmidinger; V. Barkov; H. Tavakoli; J. Correa; M. Ostermann; Martin Atzmueller; R. Gebbers; S. Vogel
In: Geoderma, Vol. 450, Pages 1-34, Geoderma, 10/2024.
A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives
Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller
In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.
SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods
Sophia Sylvester; Merle Sagehorn; Thomas Gruber; Martin Atzmueller; Benjamin Schöne
In: Behavior Research Methods, Pages 1-15, Springer, 2024.

ExPrIS
Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data
"What will I see when I turn this corner?"
Depending on what is around that corner, this question is easy for us to answer. We are likely to see a refrigerator in a kitchen, ships at a port, and a…
AW4.0
Autowerkstatt4.0
In the project Autowerkstatt 4.0 (AW 4.0), a consortium consisting of companies and research institutes is developing a platform for the trustworthy data exchange of industry-specific AI models and…
AI-Test-Field
Experimental environment for industrial-grade development of semantic environment perception.
The fusion of data with high spatial and temporal resolution and their interpretation are essential innovation drivers for the realisation of more sustainable processes in plant cultivation. Here,…