ACM AI Lab

The ACM AI Lab, led by Matthias Rottmann, focuses on topics related to the uncertainty of Artificial Intelligence and related applications, particularly in the context of automated driving. The junior research group is supported through the AI junior research group "UnrEAL" by the Federal Ministry of Education and Research, the Federal Ministry of Economic Affairs and Climate Protection, as well as private sector partners.

Meet the Team

Our Lectures

News

Making automated driving safer: RELiABEL project launched

As part of the RELiABEL project, scientists at the University of Wuppertal are researching how to make the interpretation of image data for automated…

Scientific Workshop at ControlExpert GmbH

We had the pleasure to be guests of ControlExpert GmbH who hosted a scientific exchange with deep dives into the cutting-edge topics aoround dep…

Uncertainty estimation for semantic segmentation and its application to insurance industry

It is always a great pleasure and true satisfaction for a scientist to see that a method you developed is used by others in practice, advancing an…

Two Preprints Accepted for Presentation at VISIGRAPP 2024 in Rome, Italy

Both papers contribute to the advancement of data-centric artificial intelligence.

Digital workshop with Continental

Today Continental — our partner in KI Familie projects — and us had another very pleasant digital joint workshop with many fruitful discussions on…

DAAD supports cooperation with Queensland University of Technology, QUT Center for Robotics

The collaboration between Niko Suenderhauf, Dimity Miller from Queensland University of Technology, our colleague Annika Mütze and Matthias Rottmann…

Paper accepted for publication in the proceedings of WACV2024

Our paper "Identifying Label Errors in Object Detection Datasets by Loss Inspection" by Marius Schubert, Tobias Riedlinger, Karsten Kahl, Daniel…

Inaugural Lecture by Matthias Rottmann

On October 24, 2023, PD Dr. Matthias Rottmann gave his inaugural lecture at the Department of Mathematics and Computer Science, Faculty of Mathematics…

Paper accepted for publication at ICCV workshops

Our paper: “MGiaD: Multigrid in all dimensions. Efficiency and robustness by weight sharing and coarsening in resolution and channel dimensions” by…

DataNinja association of S. Penquitt and M. Rottmann

Since September 2023, Sarina Penquitt and Matthias Rottmann are officially associated members of the DataNinjas.

Paper acceptance at GCPR 2023

Our paper „LMD: Light-weight Prediction Quality Estimation for Object Detection in Lidar Point Clouds“ by Tobias Riedlinger, Marius Schubert, Sarina…

Workshop with visitors from Queensland University of Technology

Today we had a very inspiring workshop with our guests Dimity Miller and Niko Sünderhauf from Queensland University of Technology, Center for Robotics…

Girlsday 2023 School of Mathematics and Natural Sciences

Today we supported the girlsday 2023 with a number of curious and enthusiastic girls. We presented our driving simulator where they could experience…

Our team joins the Applied and Computational Mathematics group

As of today, our junior research group on reliable and efficient AI is part of the Applied and Computational Mathematics (ACM) group in the Department…

Paper accepted for publication in the proceedings of NeurIPS2022

Our joint work with Technical University of Dortmund entitled „UQGAN: A Unified Model for Uncertainty Quantification of Deep Classifiers trained via…

All news

Faculty of Mathematics and Natural Sciences

Department of Mathematics & Computer Science

Institute for Mathematical Modeling, Analysis and Computational Mathematics (IMACM)

Interdisciplinary Center Machine Learning and Data Analytics (IZMD)

Working Group for Applied and Computational Mathematics

Chewie the Lab-Dog of the ACM AI Lab

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