Rudolf Mester
IT-bygget, 361, Gløshaugen, Sem Sælands vei 9, 7034 Trondheim
About
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, Full Professor (DNV GL endowment), 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.
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.
The support from DNV GL reflected in this endowment professorship and in good cooperation is acknowledged and appreciated.
Publications
2022
-
Hodne, Lars Martin;
Leikvoll, Eirik;
Yip, Mauhing;
Teigen, Andreas Langeland;
Stahl, Annette;
Mester, Rudolf.
(2022)
Detecting and Suppressing Marine Snow for Underwater Visual SLAM.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Academic article
-
Namazi, Elnaz;
Mester, Rudolf;
Li, Jingyue;
Lu, Chaoru;
Tang, Meng;
Xiong, Ying.
(2022)
Traffic Awareness Through Multiple Mobile Sensor Fusion.
IEEE Sensors Journal.
volum 22 (12).
Academic article
-
Namazi, Elnaz;
Mester, Rudolf;
Lu, Chaoru;
Li, Jingyue.
(2022)
Geolocation estimation of target vehicles using image processing and geometric computation.
Neurocomputing.
volum 499.
Academic article
-
Namazi, Elnaz;
Mester, Rudolf;
Lu, Chaoru;
Log, Markus Metallinos;
Li, Jingyue.
(2022)
Improving Vehicle Localization with Two Low-Cost GPS Receivers.
Innovations in Smart Cities Applications Volume 5 - The Proceedings of the 6th International Conference on Smart City Applications (SCA 2021).
Academic chapter/article/Conference paper
2021
-
Hukkelås, Håkon;
Mester, Rudolf;
Lindseth, Frank.
(2021)
Image Inpainting with Learnable Feature Imputation.
Pattern Recognition, 42nd DAGM German Conference.
Academic chapter/article/Conference paper
-
Teigen, Andreas Langeland;
Saad, Aya;
Stahl, Annette;
Mester, Rudolf.
(2021)
Few-Shot Open World Learner.
IFAC-PapersOnLine.
volum 54 (16).
Academic article
-
Zwilgmeyer, Peder Georg Olofsson;
Yip, Mauhing;
Teigen, Andreas Langeland;
Mester, Rudolf;
Stahl, Annette.
(2021)
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth.
IEEE International Conference on Computer Vision (ICCV).
Academic article
2020
-
Kretz, Adrian;
Mester, Rudolf.
(2020)
A Shared Representation for Object Tracking and Classification using Siamese Networks.
2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
Academic chapter/article/Conference paper
-
Namazi, Elnaz;
Li, Jingyue;
Mester, Rudolf;
Lu, Chaoru.
(2020)
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems.
Hybrid Artificial Intelligent Systems, 15th International Conference, HAIS 2020.
Academic chapter/article/Conference paper
-
Schmid, Jan Fabian;
Mester, Rudolf.
(2020)
Ground texture based localization: Do we need to detect keypoints?.
IEEE International Conference on Robotics and Automation (ICRA).
Article
-
Vasstein, Kjetil;
Brekke, Edmund Førland;
Mester, Rudolf;
Eide, Egil.
(2020)
Autoferry Gemini: a real-time simulation platform for electromagnetic radiation sensors on autonomous ships.
IOP Conference Series: Materials Science and Engineering.
Academic article
2019
-
Brickwedde, Fabian;
Abraham, Steffen;
Mester, Rudolf.
(2019)
Mono-SF: Multi-View Geometry meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes.
IEEE International Conference on Computer Vision (ICCV).
Academic article
-
Hukkelås, Håkon;
Lindseth, Frank;
Mester, Rudolf.
(2019)
DeepPrivacy: A Generative Adversarial Network for Face Anonymization.
Advances in Visual Computing.
Academic chapter/article/Conference paper
-
Klose, Patrick;
Mester, Rudolf.
(2019)
Simulated autonomous driving in a realistic driving environment using deep reinforcement learning and a deterministic finite state machine.
APPIS'19: Proceedings of the 2nd International Conference on Applications of Intelligent Systems.
Academic chapter/article/Conference paper
-
Kreuzig, Robin;
Ochs, Matthias;
Mester, Rudolf.
(2019)
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Academic article
-
Ochs, Matthias;
Kretz, Adrian;
Mester, Rudolf.
(2019)
SDNet: Semantically Guided Depth Estimation Network.
Lecture Notes in Computer Science (LNCS).
volum 11824 LNCS.
Academic article
-
Sanchez, Ricardo M;
Mester, Rudolf;
Kudryashev, Mikhail.
(2019)
Fast Cross Correlation for Limited Angle Tomographic Data.
Lecture Notes in Computer Science (LNCS).
volum 11482 LNCS.
Academic article
-
Sanchez, Ricardo M;
Mester, Rudolf;
Kudryashev, Mikhail.
(2019)
Fast alignment of limited angle tomograms by projected cross correlation.
European Signal Processing Conference.
volum 2019-September.
Academic article
2018
-
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.
Academic anthology/Conference proceedings
-
Ochs, Matthias;
Bradler, Henry;
Mester, Rudolf.
(2018)
Spatio-Temporal Depth Interpolation (STDI).
IEEE conference proceedings. 2018. ISBN 978-1-5386-4452-2.
Academic anthology/Conference proceedings
Journal publications
-
Hodne, Lars Martin;
Leikvoll, Eirik;
Yip, Mauhing;
Teigen, Andreas Langeland;
Stahl, Annette;
Mester, Rudolf.
(2022)
Detecting and Suppressing Marine Snow for Underwater Visual SLAM.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Academic article
-
Namazi, Elnaz;
Mester, Rudolf;
Li, Jingyue;
Lu, Chaoru;
Tang, Meng;
Xiong, Ying.
(2022)
Traffic Awareness Through Multiple Mobile Sensor Fusion.
IEEE Sensors Journal.
volum 22 (12).
Academic article
-
Namazi, Elnaz;
Mester, Rudolf;
Lu, Chaoru;
Li, Jingyue.
(2022)
Geolocation estimation of target vehicles using image processing and geometric computation.
Neurocomputing.
volum 499.
Academic article
-
Teigen, Andreas Langeland;
Saad, Aya;
Stahl, Annette;
Mester, Rudolf.
(2021)
Few-Shot Open World Learner.
IFAC-PapersOnLine.
volum 54 (16).
Academic article
-
Zwilgmeyer, Peder Georg Olofsson;
Yip, Mauhing;
Teigen, Andreas Langeland;
Mester, Rudolf;
Stahl, Annette.
(2021)
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth.
IEEE International Conference on Computer Vision (ICCV).
Academic article
-
Schmid, Jan Fabian;
Mester, Rudolf.
(2020)
Ground texture based localization: Do we need to detect keypoints?.
IEEE International Conference on Robotics and Automation (ICRA).
Article
-
Vasstein, Kjetil;
Brekke, Edmund Førland;
Mester, Rudolf;
Eide, Egil.
(2020)
Autoferry Gemini: a real-time simulation platform for electromagnetic radiation sensors on autonomous ships.
IOP Conference Series: Materials Science and Engineering.
Academic article
-
Brickwedde, Fabian;
Abraham, Steffen;
Mester, Rudolf.
(2019)
Mono-SF: Multi-View Geometry meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes.
IEEE International Conference on Computer Vision (ICCV).
Academic article
-
Kreuzig, Robin;
Ochs, Matthias;
Mester, Rudolf.
(2019)
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network.
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
Academic article
-
Ochs, Matthias;
Kretz, Adrian;
Mester, Rudolf.
(2019)
SDNet: Semantically Guided Depth Estimation Network.
Lecture Notes in Computer Science (LNCS).
volum 11824 LNCS.
Academic article
-
Sanchez, Ricardo M;
Mester, Rudolf;
Kudryashev, Mikhail.
(2019)
Fast Cross Correlation for Limited Angle Tomographic Data.
Lecture Notes in Computer Science (LNCS).
volum 11482 LNCS.
Academic article
-
Sanchez, Ricardo M;
Mester, Rudolf;
Kudryashev, Mikhail.
(2019)
Fast alignment of limited angle tomograms by projected cross correlation.
European Signal Processing Conference.
volum 2019-September.
Academic article
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.
Academic anthology/Conference proceedings
-
Ochs, Matthias;
Bradler, Henry;
Mester, Rudolf.
(2018)
Spatio-Temporal Depth Interpolation (STDI).
IEEE conference proceedings. 2018. ISBN 978-1-5386-4452-2.
Academic anthology/Conference proceedings
Part of book/report
-
Namazi, Elnaz;
Mester, Rudolf;
Lu, Chaoru;
Log, Markus Metallinos;
Li, Jingyue.
(2022)
Improving Vehicle Localization with Two Low-Cost GPS Receivers.
Innovations in Smart Cities Applications Volume 5 - The Proceedings of the 6th International Conference on Smart City Applications (SCA 2021).
Academic chapter/article/Conference paper
-
Hukkelås, Håkon;
Mester, Rudolf;
Lindseth, Frank.
(2021)
Image Inpainting with Learnable Feature Imputation.
Pattern Recognition, 42nd DAGM German Conference.
Academic chapter/article/Conference paper
-
Kretz, Adrian;
Mester, Rudolf.
(2020)
A Shared Representation for Object Tracking and Classification using Siamese Networks.
2020 IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI).
Academic chapter/article/Conference paper
-
Namazi, Elnaz;
Li, Jingyue;
Mester, Rudolf;
Lu, Chaoru.
(2020)
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems.
Hybrid Artificial Intelligent Systems, 15th International Conference, HAIS 2020.
Academic chapter/article/Conference paper
-
Hukkelås, Håkon;
Lindseth, Frank;
Mester, Rudolf.
(2019)
DeepPrivacy: A Generative Adversarial Network for Face Anonymization.
Advances in Visual Computing.
Academic chapter/article/Conference paper
-
Klose, Patrick;
Mester, Rudolf.
(2019)
Simulated autonomous driving in a realistic driving environment using deep reinforcement learning and a deterministic finite state machine.
APPIS'19: Proceedings of the 2nd International Conference on Applications of Intelligent Systems.
Academic chapter/article/Conference paper
Teaching
Courses
Media
2022
-
Academic lectureHodne, Lars Martin; Leikvoll, Eirik; Yip, Mauhing; Teigen, Andreas Langeland; Stahl, Annette; Mester, Rudolf. (2022) Detecting and Suppressing Marine Snow for Underwater Visual SLAM. Fourth Workshop on Image Matching: Local Features and Beyond . IEEE/CVF Conference on Computer Vision and Pattern Recogniti; New Orleans, Louisiana. 2022-06-19 - 2022-06-23.
2021
-
Academic lectureTeigen, Andreas Langeland; Saad, Aya; Stahl, Annette; Mester, Rudolf. (2021) Few-Shot Open World Learner. 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles IFAC CAMS . International Federation of Automatic Control; Online Conference - University Oldenburg, Germany. 2021-09-22 - 2021-09-24.
-
Academic lectureZwilgmeyer, Peder Georg Olofsson; Yip, Mauhing; Teigen, Andreas Langeland; Mester, Rudolf; Stahl, Annette. (2021) The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCV Workshop Computer Vision in the Ocean ; 2021-10-17 - 2021-10-17.