Hochschule KarlsruheHochschule Karlsruhe - University of Applied Sciences
Hochschule KarlsruheHochschule Karlsruhe - University of Applied Sciences

Intelligent Systems Research Group

Profile Projects Publications

Data & Code

With our papers we published some data sets and source code, the latter is published in our GitHub-repository. Data and code are free for non-commercial use only, so please note the respective terms of use.

MULTIPLE 2020

Multi-View Intensity-Depth Data Set for Top-View Indoor People Detection

Authors:
Johannes Wetzel, M.Sc.
Prof. Dr. Astrid Laubenheimer​​​​​​​

read more

JOMS 2020

An Open Source Markerless End-to-End Training Framework for Parametric 3D Human Shape Models

Authors:
Samuel Zeitvogel, M.Sc.
Prof. Dr. Astrid Laubenheimer

JOMS in GitHub

VOD 2018

A Synchronized Stereo and Plenoptic Visual Odometry Dataset
 

Authors:
Dr. Niclas Zeller
Prof. Dr. Franz Quint​​​​​​​

read more

Our Publications

We publish our research at international conferences and in scientific journals.

Peer Reviewed Publications

2023

Baumann R., Böhm D., Saipt R., Laubenheimer A.
Analyzing CNN Architectures for Secure and Private Image Classification with Homomorphic Encryption and Differential Privacy
8th Collaborative European Research Conference (CERC), June 9-10, 2023, Barcelona, Spain, 2023. [pdf]

Post K., Mohr M., Koeppel M., Laubenheimer A.
Improving Multiclass Classification of Cardiac Arrhythmias with Photoplethysmography using an Ensemble Approach of Binary Classifiers
8th Collaborative European Research Conference (CERC) June 9-10, 2023, Barcelona, Spain, 2023. Best Presentation Award.

Iraki T., Morand L., Dornheim J., Link N., Helm D.
A multi-task learning-based optimization approach for finding diverse sets of microstructures with desired properties. 
Journal of Intelligent Manufacturing (2023), May 26, 2023. [pdf]

2022

Rapp F., Meder C., Stoevesandt K., Zeitvogel S., Wernet C., Laubenheimer A.
Feedback mechanisms of an iOS App to record RGBD Data for AI-based Diagnosis and Monitoring of Infant Head Deformation
13th 3DBODY.TECH Conference & Expo, 25-26 Oct. 2022, Lugano, Switzerland. [pdf]

Marcos L., Quint F., Babyn P., Alirezaie J.
Dilated Convolution ResNet with Boosting Attention Modules and Combined Loss Functions for LDCT Image Denoising
44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
July 11-15, 2022, Glasgow, UK p. 1548-155, 2022.

Melde A., Gavrikov P., Madan M., Hoof D., Laubenheimer A., Keuper J., Reich C.
Tackling Key Challenges of AI Development – Insights from an Industry-Academia Collaboration
Upper-Rhine Artificial Intelligence Symposium UR-AI 2022, October 19th, 2022. [pdf] [poster]

Zeitvogel S., Wernet C., Wetzel J., Laubenheimer A., Stoevesandt K.
RGBD Infant Head Reconstruction for Cranial Vault Asymmetry Estimation
IEEE Access. doi: 10.1109/ACCESS.2022.3160749, March 21, 2022. [pdf]

Morand L., Link N., Iraki T., Dornheim J., Helm D.
Efficient Exploration of Microstructure-Property Spaces via Active Learning
Front. Mater. 8:824441. doi: 10.3389/fmats.2021.824441, 2022. [pdf]

Iraki T., Link N.
Generative models for capturing and exploiting the influence of process conditions on process curves
Journal of Intelligent Manufacturing, 2022, 33. Jg., Nr. 2, S. 473-492, 2022. [pdf]

2021

Melde A., Laubenheimer A., Link N., Schauer C.
An Architecture to Quantify the Risk of AI-Models
Upper-Rhine Artificial Intelligence Symposium UR-AI 2021, October 27th, 2021. [pdf]

Iraki T., Link N.
Generative models for capturing and exploiting the influence of process conditions on process curves
Journal of Intelligent Manufacturing (2021), September 14, 2021. [pdf]

Dornheim J., Morand L., Zeitvogel S.,  Iraki T., Link N., Helm D.
Deep reinforcement learning methods for structure-guided processing path optimization
Journal of Intelligent Manufacturing (2021), July 7, 2021. [pdf]

2020

Wetzel J., Zeitvogel S., Laubenheimer A., Heizmann M.
People Detection in a Depth Sensor Network via Multi-View CNNs trained on Synthetic Data
IEEE International Symposium on Electronics and Telecommunication ISETC'20, November 5 - 6, 2020. [pdf]

Wetzel J., Laubenheimer A., Heizmann M.
Temporal Smoothing for Joint Probabilistic People Detection in a Depth Sensor Network
IEEE International Conference on Multisensor Fusion and Integration (MFI 2020). September 14 - 16, 2020. [pdf]

Zeitvogel S., Dornheim J., Laubenheimer A.
Joint Optimization for Multi-Person Shape Models from Markerless 3D-Scans
16th European Conference on Computer Vision, ECCV, August 23 – 28, 2020. [pdf] [supmat][source]

Zeitvogel S., Laubenheimer A.
An Open-Source Multi-Person Shape Model Training and Inference Pipeline
11th 3DBODY.TECH Conference & Expo, 21-22 Oct. 2020, Lugano, Switzerland. [pdf]

Wetzel J., Laubenheimer A., Heizmann M.
Joint Probabilistic People Detection in Overlapping Depth Images
IEEE Access, vol. 8, 2020. [pdf]

Engel G., Bhatti F., Greiner T., Heizmann M., Quint F.
Distributed and Context Aware Application of Deep Neural Networks in Mobile 3D-Multi-Sensor Systems Based on Cloud-, Edge- and FPGA-Computing Proceedings
2020 IEEE 7th International Conference on Industrial Engineering Applications ICIEA 2020. [pdf]

Dornheim J., Link N., Gumbsch P.
Model-Free Adaptive Optimal Control of Episodic Fixed-Horizon Manufacturing Processes using Reinforcement Learning
International Journal of Control, Automation and Systems 2020 (18/6). [pdf]

Link N., Iraki T., Dornheim J.
Inverse Process-Structure-Property Mapping
The Upper-Rhine Artificial Intelligence Symposium UR-AI 2020.

Zeitvogel S., Wetzel J., Laubenheimer A.
Scene-Adaptive Disparity Estimation in Depth Sensor Networks Using Articulated Shape Models
The Upper-Rhine Artificial Intelligence Symposium UR-AI 2020.

2019

Bhatti F., Engel G., Engelsberger M., Ziebarth M., Zeller N., Beyerer J., Greiner T., Heizmann M., Quint F.
Context Aware 3D Image Processing and Acquisition: A Service-Oriented System in Scope of I4.0 Applications
atp Magazin, Nr. 3, pp. 76-86, 2019.

Link N., Dornheim. J
Machine Learning Methods for State Tracking and Optimal Control of Production Processes
The Upper-Rhine Artificial Intelligence Symposium UR-AI 2019.

Rees M., Senn M., Brahma P.P., Laubenheimer A.
Modular Novelty Detection System for Driving Scenarios
Proceedings, Collaborative European Research Conference CERC, March 2019.

Wetzel J., Zeitvogel S., Laubenheimer A., Heizmann M.
Scene Adaptive Optimization Scheme for Depth Sensor Networks
Proceedings, Collaborative European Research Conference CERC, March 2019. [pdf]

2018

Ziebarth M., Zeller N., Heizmann M., Quint F.
Modeling the Unified Measurement Uncertainty of Deflectometric and Plenoptic 3-D Sensors
Journal of Sensors and Sensor Systems 7 (2), 517-533

Zeller N., Quint F., Stilla U.
Scale-Awareness of Light Field Camera based Visual Odometry
15th European Conference on Computer Vision, ECCV, September 8 – 14, 2018.

Zeitvogel S., Laubenheimer A.
Towards End-to-End 3D Human Avatar Shape Reconstruction from 4D Data
Proceedings, 13th IEEE International Symposium on Electronics and Telecommunication ISETC'18, Timisoara, 2018.

Wetzel J., Zeitvogel S., Laubenheimer A., Heizmann M.
Towards Global People Detection and Tracking using Multiple Depth Sensors
Proceedings, 13th IEEE International Symposium on Electronics and Telecommunication ISETC'18, Timisoara, 2018. [pdf]

Dornheim J., Link N.
Multiobjective Reinforcement Learning for Reconfigurable Adaptive Optimal Control of Manufacturing Processes
Proceedings, 13th IEEE International Symposium on Electronics and Telecommunication ISETC'18, Timisoara, 2018.

2017

Dornheim J., Link N.
Reinforcement Learning Based Approach for Optimal Deep Drawing Process Control
Proceedings, Collaborative European Reseach Conference CERC, September 2017.

Zeitvogel S., Laubenheimer A.
3D Human Surface Registration using Subdivision Surfaces
Proceedings, Collaborative European Reseach Conference CERC, September 2017.

Hippe R., Dornheim J., Zeitvogel S., Laubenheimer A.
Evaluation of Machine Learning Algorithms for Smurf Detection
Proceedings, Collaborative European Reseach Conference CERC, September 2017.

Zeller N., Quint F., Stilla U.
From the Calibration of a Light-Field Camera to Direct Plenoptic Odometry
IEEE Journal of Selected Topics in Signal Processing, Vol. 11, Nr. 7, p. 1004-1019, 2017.

Reis J., Gil G., Link N.
Meta-Process Modeling Methodology for Process Model Generation in Intelligent Manufacturing
43rd Annual Conference of the IEEE Industrial Electronics Society, 2017.

2016

Zeller N., Quint F., Stilla U.
Depth estimation and camera calibration of a focused plenoptic camera for visual odometry
ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 118, pp. 83-100, 2016.

Zeller N., Noury C., Quint F., Teuliere C., Stilla U., Dhome M.
Metric calibration of a focused plenoptic camera based on a 3d calibration target
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, III-3: 449-456

Zeller N., Quint F., Sütterlin M., Stilla U.
Investigating Mathematical Models for Focused Plenoptic Cameras
Proceedings, 12th IEEE International Symposium on Electronics and Telecommunication ISETC'16, Timisoara, p. 285-288, 2016.

Konz J., Zeller N., Quint F., Stilla U.
Depth Estimation from Micro-Images of a Plenoptic Camera
3rd Baden-Württemberg Center of Applied Research Symposium on Information and Communication Systems SInCom 2016, p. 17-23

Kühefuß A., Zeller N., Quint F., Stilla U.
Feature Based RGB-D SLAM for a Plenoptic Camera
3rd Baden-Württemberg Center of Applied Research Symposium on Information and Communication Systems SInCom 2016, p. 25-29.

Zeitvogel S., Laubenheimer A.
Fitting a deformable 3D human body model to depth images using convolutional neural networks
Proceedings, 12th IEEE International Symposium on Electronics and Telecommunication ISETC'16, Timisoara, p. 321 - 326, 2016.

2015

Link, N.
Globally Optimized Production by Co-operating Production Agents based on Bellmans Principle
(INTELLI2015), ISBN: 978-1-61208-437-4, pp 134-139, 2015.

Wang H., Schwab I., Emmerich M.
Comparing Knowledge Representation Forms in Empirical Model Building
(INTELLI2015), ISBN: 978-1-61208-437-4, pp 170-178, 2015.

Fischer, S.
Process State Observation using Artificial Networks and Symbolic Regression
(INTELLI2015), ISBN: 978-1-61208-437-4, pp 142-147, 2015.

Pollak, J.
Application of Task-to-Method Transform to Laser Seam Welding
(INTELLI2015), ISBN: 978-1-61208-437-4, pp 128-133, 2015.

Senn M., Schwab I., Link, N.
Process Chain Optimization using Universal State and Control Features(INTELLI2015), ISBN: 978-1-61208-437-4, pp 126-127, 2015.

Fischer S., Hensgen O., Elshaabiny M., Link N.
Generating Low-dimensional Nonlinear Process Representations by Ordered Features
15th IFAC Symposium on Information Control in Manufacturing,
11.-13.05.2015, Ottawa Canada. Elsevier IFAC-PapersOnline 48(3), pp 1037-1042, 2015.

Ijsselmuiden J., Dornheim J.
Interaction Analysis through Fuzzy Temporal Logic: Extensions for Clustering and Parameter Learning
12th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), IEEE, 2015.

Vasko R., Zeller N., Quint F., Stilla U.
A Real-Time Depth Estimation Approach for a Focused Plenoptic Camera
Springer Lecture Notes in Computer Sciences 9475: Advances in Visual Computing, p. 70-80, 2015.

 ZellerN., Quint F., Stilla U.
Filtering Probabilistic Depth Maps Received from a Focused Plenoptic Camera
Proceedings, 2nd BW-CAR Symposium on Information and Communication Systems, SInCom 2015, p. 7-12, 2015.

Zeller N., Quint F., Stilla U.
Establishing a Probabilistic Depth Map from Focused Plenoptic Cameras
Proceedings International Conference on 3D Vision (3DV), p. 91-99, 2015.

Zeller N., Quint F, Stilla U.
Narrow Field of View Odometry based on a Focused Plenoptic Camera
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-3/W4, 2015.

2014

Senn M., Link N., Pollak J., Lee J. H.
Reducing the Computational Effort of Optimal Process Controllers for Continuous State Spaces by using Incremental Learning and Post-decision State Formulations.
Journal of Process Control, 24(3), pp 133-143, 2014.

Sarveniazi A.
An Actual Survey of Dimensionality Reduction
American Journal of Computational Mathematics, 4, pp 55-72, 2014.

Zeller N., Quint F., Stilla U.
Applying a Traditional Calibration Method to a Focused Plenoptic Camera
Proceedings, 1st BW-CAR Symposium on Information and Communication Systems, SInCom, p. 19-24, 2014.

Zeller N., Quint F., Zangl C., Stilla U.
Edge Segmentation in Images of a Focused Plenoptic Camera
Proceedings, 11th IEEE International Symposium on Electronics and Telecommunication ISETC'14, p. 269-272, 2014.

Ionel R., Ionel S., Bauer P., Quint F.
Water Leakage Monitoring Education: Cross Correlation Study via Spectral Whitening
Proceedings, 40th Annual Conference of the IEEE Industrial Electronics Society, Dallas, p. 2465-2471, 2014.

Zeller N., Quint F., Stilla U.
Callibration and Accuracy Analysis of a Focused Plenoptic Camera
ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. II-3, p. 205-212, 2014.

Zeller N., Quint Q., Guan L.
Kinect based 3D Scene Reconstruction
Communication Paper Proceedings 22nd International Conference on Computer Graphics, Visualization and Computer Vision (WSCG), Prague, Vol. 22, p. 73-81, 2014.

Zeller N., Quint F., Stilla U.
Kalibrierung und Genauigkeitsuntersuchung einer fokussierten plenoptischen Kamera
Seyfert H 34. Wissenschaftlich-Technische Jahrestagung der DGPF, Vol. 23, 2014.

Zeller N., Quint F., Guan L.
Hinderniserkennung mit Microsoft Kinect
Seyfert H 34. Wissenschaftlich-Technische Jahrestagung der DGPF, Vol. 23, 2014.

2013

Schwab I., Senn M., Fischer S., Link N.
Flexible Process Modeling Determined by Existing Human Expert Domain Knowledge Bases
(INTELLI2013), ISBN: 978-1-61208-269-1, pp 48-53, 2013.

Senn M., Jöchen K., Phan Van T., Böhlke T., Link N.
In-depth Online Monitoring of the Sheet Metal Process State Derived from Multi-Scale Simulations
The International Journal of Advanced Manufacturing Technology, Volume 68(9-12), pp 2625-2636, 2013.

Schwab I., Link N.
Manufacturing Tasks modelled by Functional Roots
International Journal on Advances in Intelligent Systems, 2013.

Senn M., Link N., Gumbsch P.
Optimal Process Control through Feature-Based State Tracking along Process Chains
Proceedings of the 2nd World Congress on Integrated Computational Materials Engineering (ICME).John Wiley & Sons, pp 69-74. 2013.

 Ivascu L., Izvercian M., Quint F., Radu A.
Applying the Principles of Activity-based Costing Method for the Modeling of the Sustainable University
6. Int. Conference on Manufacturing, Science and Education, MSE, p.465-468, 2013.

Radu A., Izvercian M., Quint F., Ivascu L.
Modelling Human Resources Education in the E-Learning and E-Teaching Era
6. Int. Conference on Manufacturing, Science and Education, MSE, p. 205-208, 2013.

2012

Senn M., Link N.
Revealing Effects of Dynamic Caracteristics in Process Monitoring and their Influences on Quality Prediction
Proceedings of the 8th International Conference of Numerical Analysis and Applied Mathematics, Rhodes, Greece, 2010; AIP Conference Proceedings 1504 (International Conference of Computational Methods in Sciences and Engineering 2009), pp. 1306-1309, 2012.

Schwab I., Link N.
Functional Roots and Manufacturing Tasks
(INTELLI2012), ISBN: 978-1-61208-224-0, pp 35-40, 2012.

Schwab I., Link N.
Gaining Insights from Symbolic Regression Representation of Class Boundaries
(COGNITIVE 2012), ISBN: 978-1-61208-218-9, pp 31-36, 2012.

Schwab I., Link N.
Learn more about your Data: A Symbolic Regression Knowledge Representation Framework
IJIS, 2 (24A), pp 135-142, 2012.

Schwab I., Senn M., Link N.
Improving Expert Knowledge in Dynamic Process Monitoring by Symbolic Regression
(ICGEC 2012), ISBN: 978-1-4673-2138-9, pp 132-135, 2012.

Mohammed A. A., Laubenheimer A., Salih Y. A.
Efficient Face Tracking and Detection in Video: Based on Template Matching
Proceedings of The 2012 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV 2012),
Las Vegas, Nevada, USA, 2012.

Gessat M., Pollok T., Laubenheimer A., Link N., Sündermann S., Falk V.
Automatic Landmark Extraction for Stent Deformation Analysis after Transcather Aortic Valve Implantation
Proceedings of Computer Assisted Radiology and Surgery (CARS 2012).
Pisa, Italy, 2012.

2011

Junker O., Strauss V., Majer R., and Link N.
Real-time Video Analysis of Pedestrians to Support Agent Simulation of People Behaviour
Ed.: R. D. Peacock, E. D. Kuligowski, J. D. Averill, Springer Verlag, ISBN 978-1-4419-9724-1, pp 81-94, 2011.

 

 

 

&nbs

 

 

Other Publications

Online Publications, Books and Book Contributions, Posters -

2019

Christ A., Quint F. (Eds.)
Artificial Intelligence: from Research to Application
URAI 2019, ISBN 978-3-9820756-0-0. [arXiv]

2015

Schwab I., Link N.
Solving Large Combinatorial Problems with Big Data Approaches
Poster presented at The First International Conference on Big Data, Small Data, Linked Data and Open Data (ALLDATA 2015),
19.-24.04.2015, Barcelona, Spain, 2015.

Link N.
Optimization Methods in Networked Production Machines
In: Forschung aktuell 2015, Hochschule Karlsruhe,
ISSN: 1613-4958, pp 8-12, 2015.

2014

Schwab I., Link, N.
I-RAMP3 - Intelligent Reconfigurable Machines for Smart Plug&Produce Production
Poster presented at the International Conference on Intelligent Systems and Applications (INTELLI2014),
22.-26.06.2014, Seville, Spain, 2014.

Fischer S., Link N.
Towards on-line state tracking with data-driven process models
In: Proceedings of the 11th World Congress on Computational Mechanics (WCCM XI),
5th European Conference on Computational Mechanics (ECCM V).
EDs.: Oñate, E Oliver, J.; Huerta, A.,
Barcelona (Spain): CIMNE, 2014.
ISBN: 978-84-942844-7-2, pp 2358–2366, 2014.

Fischer S., Link N.
Graduiertenkolleg 1483: Zustandsverfolgung mit datengetriebenen Prozessmodellen
In: Forschung aktuell 2014, Hochschule Karlsruhe,
ISSN: 1613-4958, pp 42-44, 2014.

2013

Schwab I., Dewal G., Link N.
Center of Computational Materials Science and Engineering: Ergebnisse der Teilbereiche 'Prozessschrittübergreifendes Softwaremodell' und 'Statistische und Generische Modellierung'
Forschung aktuell 2013, ISSN: 1613-4958, pp 70-73, 2013.

2012

Senn M., Pollak J., Link, N.
Process Observation and Control: Identifying Functional Dependencies between Input, Hidden State and Output
Proceedings of the Summer School 2011, Graduate School 1483,
Process Chains in Production: Interaction, Modelling and Assessment of Process Zones,
Hrsg: R. Pabst, V. Schulze, KIT Scientific Publishing, pp 21-24, 2012.

Link N., Peschl M.
The New Manufactron Production Technology Paradigm
Forschung aktuell 2012,
ISSN: 1613-4948, pp 60-62, 2012.

2011

Senn M., Link N.
Generic Process Observers
Paderborn, 24. Workshop Composite Forschung in der Mechanik
5. Forum Metallplastizität, 30.11.2011-01.12.2011, Paderborn,
Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik (LTM) Universität Paderborn, p. 22, 2011.

Hartmann B.
Human worker activity recognition in industrial environments
KIT Scientific Publishing, Karlsruhe, ISBN: 978-3-86644-643-4, 2011.

Link N., Senn, M.
Prediction of Process State Behavior Based on Observable Process Dynamics
Forschung aktuell 2011, ISSN: 1613-4958, pp 47-51, 2011.

Link N., Hartmann B.
A Human Machine Interface for Integrating Human Workers in an Intelligent Factory
Forschung aktuell 2011, ISSN: 1613-4958, pp 52-54, 2011.

2010

Schwab I., Link N.
Prozessmodellierung durch Symbolische Regression
Ed.: R. Pabst, B. Nestler, V. Schulze, Shaker Verlag GmbH
ISBN 978-3-8322-9036-8, pp 113-117, 2010.

Senn M., Link N.
Prozessmodellierung und -regelung mit statistischen und generischen Beobachtermodellen
Ed.: R. Pabst, B. Nestler, V. Schulze, Shaker Verlag GmbH
ISBN 978-3-8322-9036-8, pp 27-31, 2010.

Pollak J., Sarveniazi A., Link N.
Maschinelles Erlernen von Fertigungsprozessen aus experimentellen Daten und Anwendung auf den Widerstandspunktschweißprozess
Forschung aktuell 2010, ISSN: 1613-4958, pp 24-26, 2010.

Schwab I., Senn M., Dewal G., Link N.
Modellierung von Materialbearbeitungsprozessketten für die Online-Regelung
Forschung aktuell 2010, ISSN: 1613-4958, pp 62-63, 2010.

2009

Senn M., Link N.
Monitoring and Control of Process Behaviour
22. Workshop Composite Forschung in der Mechanik
3.Forum Metallplastizität, 01.- 02.12.2009, Paderborn,
Herausgeber/Veranstalter Lehrstuhl für Technische Mechanik
(LTM) Universität Paderborn, pp 24-25, 2009.

Team Student Issues Directions