Background and activities

Rudolf Mester has been head of the Visual Sensorics and Information Processing Lab at Goethe University, Frankfurt, since 2004, after having had positions in the Physics department of U Frankfurt, and in Bosch Corporate Research.
Since October 2018, he is with the Computer Science Dept. (IDI) at NTNU Trondheim, Professor, and member of the Norwegian Open AI Lab.
In the recent decade, he lead research initiatives and projects for intelligent visual vehicle sensorics, for applications of AI in mobile systems, visual surround sensing for autonomous driving, and machine learning for ‘trainable vehicles’ and vehicle control.
Besides these application-oriented topics, he performs fundamental research in the performance analysis of AI methods, assurance of machine learning algorithms, and in the foundations of robust and reliable perception and planning algorithms building on estimation theory, control theory, and machine learning.
 
At NTNU, Rudolf Mester focuses on performance, confidence quantification, and assurance of AI / machine learning methods, on classical and ML-based perception approaches for intelligent machines, and on autonomous systems, on the road, on and under water, and in the air.

Scientific, academic and artistic work

Journal publications

Books

  • Fanani, Nolang; Ochs, Matthias; Stürck, Alina; Mester, Rudolf. (2018) CNN-based multi-frame IMO detection from a monocular camera. IEEE conference proceedings. 2018. ISBN 978-1-5386-4452-2.
  • Ochs, Matthias; Bradler, Henry; Mester, Rudolf. (2018) Spatio-Temporal Depth Interpolation (STDI). IEEE conference proceedings. 2018. ISBN 978-1-5386-4452-2.

Part of book/report

  • Hukkelås, Håkon; Lindseth, Frank; Mester, Rudolf. (2019) DeepPrivacy: A Generative Adversarial Network for Face Anonymization. Advances in Visual Computing.