Publikationen
2020 - Heute
- (2024) Lessons from a challenge on forecasting epileptic seizures from non-cerebral signals. Nature Machine Intelligence, pages 1-2. DOI: 10.1038/s42256-024-00799-6
- (2024) Local Positional Graphs and Attentive Local Features for a Data and Runtime-Efficient Hierarchical Place Recognition Pipeline. IEEE Robotics and Automation Letters (RA-L). DOI: 10.1109/LRA.2024.3359552
- (2023) Adaptive Estimation using Gaussian Mixtures. Dissertation: TU Chemnitz
- (2023) Visual Place Recognition in Changing Environments using Additional Data-Inherent Knowledge. Dissertation: TU Chemnitz
- (2023) FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification. In Intelligent Data Engineering and Automated Learning - IDEAL 2023, pages 418-430, Springer Nature Switzerland. ISBN: 978-3-031-48232-8. DOI: 10.1007/978-3-031-48232-8_38
- (2023) Visual Place Recognition: A Tutorial. IEEE Robotics & Automation Magazine (RAM). DOI: 10.1109/MRA.2023.3310859. (Early Access)
- (2022) SEER: Unsupervised and sample-efficient environment specialization of image descriptors. In Proc. of Robotics: Science and Systems (RSS). DOI: 10.15607/RSS.2022.XVIII.006
- (2022) HDC-MiniROCKET: Explicit Time Encoding in Time Series Classification with Hyperdimensional Computing. In Proc. of International Joint Conference on Neural Networks (IJCNN). DOI: 10.1109/IJCNN55064.2022.9892158. (Proc. of International Joint Conference on Neural Networks (IJCNN))
- (2022) A Credible and Robust Approach to Ego-Motion Estimation Using an Automotive Radar. IEEE Robotics and Automation Letters (RA-L). DOI: 10.1109/LRA.2022.3162644
- (2022) Visuelle Wiedererkennung von Orten in sich verändernden Umgebungen : Schlussbericht zum Vorhaben ViPRICE, TU Chemnitz, Professur Prozessautomatisierung
- (2021) Multivariate Time Series Analysis for Driving Style Classification using Neural Networks and Hyperdimensional Computing. In Proc. of Intelligent Vehicles Symposium (IV). DOI: 10.1109/IV48863.2021.9576028
- (2021) Optimization based 3D Multi-Object Tracking using Camera and Radar Data. In Proc. of Intelligent Vehicles Symposium (IV). DOI: 10.1109/IV48863.2021.9575636
- (2021) A blind-spot-aware optimization-based planner for safe robot navigation. In Proc. of European Conference on Mobile Robotics (ECMR). DOI: 10.1109/ECMR50962.2021.9568820
- (2021) A comparison of Vector Symbolic Architectures. Artificial Intelligence Review. DOI: 10.1007/s10462-021-10110-3
- (2021) What makes visual place recognition easy or hard?. In arXiv:2106.12671. DOI: 10.48550/arXiv.2106.12671
- (2021) Fast and Memory Efficient Graph Optimization via ICM for Visual Place Recognition. In Proc. of Robotics: Science and Systems (RSS). DOI: 10.15607/RSS.2021.XVII.091
- (2021) Vector Semantic Representations as Descriptors for Visual Place Recognition. In Proc. of Robotics: Science and Systems (RSS). DOI: 10.15607/RSS.2021.XVII.083
- (2021) Hyperdimensional computing as a framework for systematic aggregation of image descriptors. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR). DOI: 10.1109/CVPR46437.2021.01666
- (2021) Beyond ANN: Exploiting Structural Knowledge for Efficient Place Recognition. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA48506.2021.9561006
- (2021) SoftMP: Attentive feature pooling for joint local feature detection and description for place recognition in changing environments. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA48506.2021.9562087
- (2021) Advancing Mixture Models for Least Squares Optimization. IEEE Robotics and Automation Letters (RA-L). DOI: 10.1109/LRA.2021.3067307
- (2021) Resolving Place Recognition Inconsistencies Using Intra-Set Similarities. IEEE Robotics and Automation Letters (RA-L) and ICRA. DOI: 10.1109/LRA.2021.3060729
- (2021) Graph-based Non-Linear Least Squares Optimization for Visual Place Recognition in Changing Environments. In IEEE Robotics and Automation Letters (RA-L). DOI: 10.1109/LRA.2021.3052446
- (2020) Factor Graph based 3D Multi-Object Tracking in Point Clouds. In Proc. of Int. Conf. on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS45743.2020.9340932
- (2020) GNSS/LiDAR Integration Aided by Self-adaptive Gaussian Mixture Model in Urban Scenarios: An Approach Robust to Non-Gaussian Noise. In Proc. of Position Location and Navigation Symposium (PLANS). DOI: 10.1109/PLANS46316.2020.9110157
- (2020) It is time for Factor Graph Optimization for GNSS/INS Integration: Comparison between FGO and EKF. In arXiv:2004.10572. (Preprint on arXiv, submitted to the Journal of the Institute of Navigation)
- (2020) Unsupervised Learning Methods for Visual Place Recognition in Discretely and Continuously Changing Environments. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA40945.2020.9197044
- (2020) Building a navigation system for a shopping assistant robot from off-the-shelf components. In Proc. of Towards Autonomous Robotic Systems Conference (TAROS). DOI: 10.1007/978-3-030-63486-5_13
- (2020) LocalSPED: A classification pipeline that can learn local features for place recognition using a small training set. In Proc. of Towards Autonomous Robotic Systems Conference (TAROS). DOI: 10.1007/978-3-030-63486-5_23
- (2020) Object detection routine for material streams combining RGB and hyperspectral reflectance databased on Guided Object Localization. IEEE Sensors Journal. DOI: 10.1109/JSEN.2020.2996757
- (2020) Experiences and Open Questions on using Vector Symbolic Architectures for Mobile Robotics. In Workshop on Developments in Hyperdimensional Computing and Vector Symbolic Architectures. (to appear)
2015 - 2019
- (2019) An Introduction to Hyperdimensional Computing for Robotics. KI - Künstliche Intelligenz, Special Issue: Reintegrating Artificial Intelligence and Robotics, Vol. 33. DOI: 10.1007/s13218-019-00623-z
- (2019) Towards combining a neocortex model with entorhinal grid cells for mobile robot localization. In Proc. of European Conference on Mobile Robotics (ECMR). DOI: 10.1109/ECMR.2019.8870939
- (2019) A neurologically inspired sequence processing model for mobile robot place recognition. In IEEE Robotics and Automation Letters (RA-L) and presentation at Intl. Conf. on Intelligent Robots and Systems (IROS). DOI: 10.1109/LRA.2019.2927096
- (2019) Circular Convolutional Neural Networks for Panoramic Images and Laser Data. In Proc. of Intelligent Vehicles Symposium (IV). DOI: 10.1109/IVS.2019.8813862
- (2019) Incrementally learned Mixture Models for GNSS Localization. In Proc. of Intelligent Vehicles Symposium (IV). DOI: 10.1109/IVS.2019.8813847
- (2019) Expectation-Maximization for Adaptive Mixture Models in Graph Optimization. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA.2019.8793601
- (2018) Comparison of Data Efficiency in Dynamic Routing for Capsule Networks. In Proc. of Intl. Conf. on Machine Learning (ICML) Workshop on Towards learning with limited labels: Equivariance, Invariance, and Beyond
- (2018) A Sequence-Based Neuronal Model for Mobile Robot Localization. In Proc. of German Conference on Artificial Intelligence (KI). DOI: 10.1007/978-3-030-00111-7_11
- (2018) Towards Hypervector Representations for Learning and Planning with Schemas. In Proc. of German Conference on Artificial Intelligence (KI)
- (2018) Robust Sensor Fusion with Self-tuning Mixture Models. In Proc. of Int. Conf. on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS.2018.8594459
- (2018) Schlussbericht zum Vorhaben smartLoc - Robuste Satellitennavigation mit generalisierten Faktorgraphen, TU Chemnitz, Professur Prozessautomatisierung. DOI: 10.2314/GBV:1027946380
- (2017) Dynamic Covariance Estimation -- A Parameter Free Approach to Robust Sensor Fusion. In Proc. of Intl. Conf. on Multisensor Fusion and Integration for Intelligent Systems (MFI). DOI: 10.1109/MFI.2017.8170347
- (2017) Sampling-based Methods for Visual Navigation in 3D Maps by Synthesizing Depth Images. In Proc. of Intl. Conf. on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS.2017.8206067
- (2017) Synthesized semantic views for mobile robot localization. In Proc. of European Conf. on Mobile Robotics (ECMR). DOI: 10.1109/ECMR.2017.8098662
- (2017) Towards camera based navigation in 3D maps by synthesizing depth images. In Proc. of Towards Autonomous Robotic Systems (TAROS). DOI: 10.1007/978-3-319-64107-2_49. Best Paper Award Winner
- (2017) Investigating the Influence of Emotion in Air Traffic Controller Tasks: Pretest Evaluation. In Proc. Human-Computer Interaction: Engineering Psychology and Cognitive Ergonomics. International Conference on Human-Computer Interaction pp. 209-216. 19th International Conference, HCI International 2017. (in press)
- (2017) A dynamic process model for predicting workload in an air traffic controller task. In 39th Annual Meeting of the Cognitive Science Society (CogSci2017). (in press)
- (2017) Modeling the Enactive Emotion Theory: Methodological Considerations. In Proc. of AISB 2017 Convention. pp. 209-216. Symposium Computational Modelling of Emotion. AISB 2017 Convention. (in press)
- (2017) Modeling Workload: A System Theory Approach. In Proc. of the 2017 ACM/IEEE international conference on Human-robot interaction. 12th Conference on Human-Robot Interaction (HRI '17), pages 305-306. ISBN: 978-1-4503-4885-0. DOI: 10.1145/3029798.3038408
- (2017) TUC-Bot: A Microcontroller based Robot for Education. In Proc. of Intl. Conf. on Robotics in Education (RiE). DOI: 10.1007/978-3-319-62875-2_18
- (2016) Image features for visual teach-and-repeat navigation in changing environments. In Robotics and Autonomous Systems. DOI: 10.1016/j.robot.2016.11.011
- (2016) Learning Vector Symbolic Architectures for Reactive Robot Behaviours. In Proc. of Intl. Conf. on Intelligent Robots and Systems (IROS) Workshop on Machine Learning Methods for High-Level Cognitive Capabilities in Robotics
- (2016) Properties of timebased local OctoMaps. In Proc. of Intl. Conf. on Intelligent Robots and Systems (IROS) Workshop on State Estimation and Terrain Perception for All Terrain Mobile Robots
- (2016) The Problem of Comparable GNSS Results — An Approach for a Uniform Dataset with Low-Cost and Reference Data. In Proc. of Intl. Conf. on Advances in Vehicular Systems (VEHICULAR). ISBN: 978-1-61208-515-9
- (2016) Robust Factor Graph Optimization — A Comparison for Sensor Fusion Applications. In Proc. of Intl. Conf. on Emerging Technologies and Factory Automation (ETFA). DOI: 10.1109/ETFA.2016.7733598
- (2016) How to Build and Customize a High-Resolution 3D Laserscanner Using Off-the-shelf Components. In Proc. of Towards Autonomous Robotic Systems (TAROS). DOI: 10.1007/978-3-319-40379-3_33. Best Paper Award Winner
- (2016) Two Autonomous Robots for the DLR SpaceBot Cup — Lessons Learned from 60 Minutes on the Moon. In Proc. of Intl. Symposium on Robotics (ISR)
- (2016) Beyond Holistic Descriptors, Keypoints and Fixed Patches: Multiscale Superpixel Grids for Place Recognition in Changing Environments. In IEEE Robotics and Automation Letters and presentation at Intl. Conf. on Robotics and Automation (ICRA)
- (2016) Map Enhancement with Track-Loss Data in Visual SLAM. In Proc. of Intl. Conf. on Intelligent Robots and Systems (IROS) Workshop on State Estimation and Terrain Perception for All Terrain Mobile Robots
- (2015) Analytical Steps for the Calibration of an Emotional Framework. In Proc. Human-Computer Interaction: Design and Evaluation. HCI 2015, Vol. 9169:512-519. ISBN: 978-3-319-20900-5 978-3-319-20901-2
- (2015) Local Region Detector + CNN based Landmarks for Practical Place Recognition in Changing Environments. In Proc of. European Conf. on Mobile Robotics (ECMR)
- (2015) Benchmarking Superpixel Descriptors. In Proc. of European Signal Processing Conference (EUSIPCO)
- (2015) Exploiting intra Database Similarities for Selection of Place Recognition Candidates in Changing Environments. In Proc. of. Computer Vision and Pattern Recognition (CVPR) Workshop on Visual Place Recognition in Changing Environments
- (2015) Superpixel-based appearance change prediction for long-term navigation across seasons. Robotics and Autonomous Systems, Vol. 69:15-27. DOI: 10.1016/j.robot.2014.08.005
- (2015) Superpixels and their Application for Visual Place Recognition in Changing Environments. Dissertation: TU Chemnitz
2010 - 2014
- (2014) Phobos and Deimos on Mars — Two Autonomous Robots for the DLR SpaceBot Cup. In Proc. of Intl. Symposium on Artificial Intelligence, Robotics and Automation in Space (iSAIRAS)
- (2014) An emotional framework for a real-life worker simulation. In Proc. of International Conference on Human-Computer Interaction (HCI), pages 67-686
- (2014) Deducing human emotions by robots: Computing basic non-verbal expressions of performed actions during a work task. In Proc. of IEEE International Symposium on Intelligent Control (ISIC), pages 1342-1347
- (2014) Compact Watershed and Preemptive SLIC: On improving trade-offs of superpixel segmentation algorithms. In Proc. of Intl. Conf. on Pattern Recognition (ICPR)
- (2014) An emotional model for social robots. In Proc. of the 2014 ACM/IEEE international conference on Human-robot interaction (HRI '14)
- (2013) Faktorgraph-basierte Sensordatenfusion zur Anwendung auf einem Quadrocopter. Dissertation: TU Chemnitz
- (2013) Evaluating Superpixels in Video: Metrics Beyond Figure-Ground Segmentation.. In Proc. of British Machine Vision Conference (BMVC)
- (2013) Appearance Change Prediction for Long-Term Navigation Across Seasons. In Proc. of European Conference on Mobile Robotics (ECMR)
- (2013) Predicting the Change -- A Step Towards Life-Long Operation in Everyday Environments. In Proc. of Robotics: Science and Systems (RSS) Robotics Challenges and Vision Workshop. RCV 2013 3rd Best Paper Award Winner
- (2013) Are We There Yet? Challenging SeqSLAM on a 3000 km Journey Across All Four Seasons. In Proc. of Workshop on Long-Term Autonomy at Int. Conf. on Rob. a. Autom. (ICRA)
- (2013) Incremental Sensor Fusion in Factor Graphs with Unknown Delays. In Proc. of ESA Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA)
- (2013) Incremental Smoothing vs. Filtering for Sensor Fusion on an Indoor UAV. In Proc. of Intl. Conf. on Robotics and Automation (ICRA), pages 1773-1778. DOI: 10.1109/ICRA.2013.6630810
- (2013) Switchable Constraints and Incremental Smoothing for Online Mitigation of Non-Line-of-Sight and Multipath Effects. In Proc. of IEEE Intelligent Vehicles Symposium (IV). DOI: 10.1109/IVS.2013.6629480
- (2013) Switchable Constraints vs. Max-Mixture Models vs. RRR -- A Comparison of three Approaches to Robust Pose Graph SLAM. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA.2013.6631320
- (2012) Autonomous Corridor Flight of a UAV Using a Low-Cost and Light-Weight RGB-D Camera. In Advances in Autonomous Mini Robots, pages 183-192, Springer Berlin Heidelberg. ISBN: 978-3-642-27481-7. DOI: 10.1007/978-3-642-27482-4_19
- (2012) Superpixel Benchmark and Comparison. In Proc. of Forum Bildverarbeitung
- (2012) Multipath Mitigation in GNSS-Based Localization using Robust Optimization. In Proc. of IEEE Intelligent Vehicles Symposium (IV). DOI: 10.1109/IVS.2012.6232299
- (2012) A Generic Approach for Robust Probabilistic Estimation with Graphical Models. In Proc. of RSS Workshop on Long-term Operation of Autonomous Robotic Systems in Changing Environments
- (2012) Switchable Constraints for Robust Pose Graph SLAM. In Proc. of Intl. Conf. on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS.2012.6385590
- (2012) From Saliency Based Image Features Towards Semantic Mapping. In Proc. of 7th German Conference on Robotics, pages 1-6
- (2012) Towards a Robust Back-End for Pose Graph SLAM. In Proc. of IEEE Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ICRA.2012.6224709
- (2012) Robust Optimization for Simultaneous Localization and Mapping. Dissertation: Chemnitz University of Technology
- (2012) Cost-Efficient Mono-Camera Tracking System for a Multirotor UAV Aimed for Hardware-in-the-Loop Experiments. In Proc. of Intl. Multi-Conference on Systems, Signals and Devices (SSD). DOI: 10.1109/SSD.2012.6198047
- (2012) Towards Robust Graphical Models for GNSS-Based Localization in Urban Environments. In Proc. of IEEE International Multi-Conference on Systems, Signals and Devices (SSD). DOI: 10.1109/SSD.2012.6198059
- (2012) Motion Estimation for Autonomous Quadrocopter Indoor Flight. In Proc. of Intl. Multi-Conference on Systems, Signals and Devices (SSD). DOI: 10.1109/SSD.2012.6198060
- (2011) BRIEF-Gist -- Closing the Loop by Simple Means. In Proc. of IEEE Intl. Conf. on Intelligent Robots and Systems (IROS)
- (2011) Autonomous Corridor Flight of a UAV Using a Low-Cost and Light-Weight RGB-D Camera. In Advances in Autonomous Mini Robots - Proceedings of the 6-th AMiRE Symposium, pages 183-192. ISBN: 978-3-642-27481-7. DOI: 10.1007/978-3-642-27482-4_19
- (2010) Roboterwettbewerb im Ingenieurstudium - Interdisziplinäres Projektpraktikum Autonome Mobile Roboter. Hochschuldidaktisches Zentrum Sachsen HDS, pages 40-42
- (2010) Validating an Active Stereo System Using USARSim. In Simulation, Modeling, and Programming for Autonomous Robots, Vol. 6472:387-398, Springer Berlin / Heidelberg. DOI: 10.1007/978-3-642-17319-6_36
- (2010) The Causal Update Filter -- A Novel Biologically Inspired Filter Paradigm for Appearance Based SLAM. In Proc. of the IEEE International Conference on Intelligent Robots and Systems (IROS). DOI: 10.1109/IROS.2010.5653221
- (2010) From Neurons to Robots: Towards Efficient Biologically Inspired Filtering and SLAM. In Proc. of KI 2010: Advances in Artificial Intelligence. DOI: 10.1007/978-3-642-16111-7_39
- (2010) Creating a Distributed Development Environment for Unmanned Aerial Vehicles using USARSim. In Proc. of the 55th International Scientific Colloquium, IWK 2010
- (2010) Beyond RatSLAM: Improvements to a Biologically Inspired SLAM System. In Proc of Intel. Conf. on Emerging Technologies and Factory Automation (ETFA). DOI: 10.1109/ETFA.2010.5641280
- (2010) Active Stereo Vision for Autonomous Multirotor UAVs in Indoor Environments. In Proc. of the 11th Conference Towards Autonomous Robotic Systems (TAROS), pages 111-118. ISBN: 978-1-84102-263-5
- (2010) Modellierung und Erkennung von Fahrsituationen und Fahrmanövern für sicherheitsrelevante Fahrerassistenzsysteme. Dissertation: TU Chemnitz
- (2010) Learning from Nature: Biologically Inspired Robot Navigation and SLAM -- A Review. In Künstliche Intelligenz (German Journal on Artificial Intelligence), Special Issue on SLAM, Springer Verlag
2005 - 2009
- (2009) A Vision Based Onboard Approach for Landing and Position Control of an Autonomous Multirotor UAV in GPS-Denied Environments. In Proc. of Intl. Conf. on Advanced Robotics (ICAR)
- (2009) Using Image Profiles and Integral Images for Efficient Calculation of Sparse Optical Flow Fields.. In Proceedings of the International Conference on Advanced Robotics
- (2008) Patent: DE102007013147A1. (offengelegt am 18.09.2008)
- (2008) Autonomous Landing for a Multirotor UAV Using Vision. In Workshop Proc. of SIMPAR 2008 Intl. Conf. on Simulation, Modeling and Programming for Autonomous Robots, pages 482-491. ISBN: 978-88-95872-01-8
- (2008) Mono-Kamera-SLAM: Implementierung eines Verfahrens zur visuell gestützten Navigation und Steuerung eines autonomen Luftschiffes. VDM Verlag Dr. Müller
- (2008) A Fast Visual Line Segment Tracker. In Proc. of 13th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
- (2007) Mobile Agenten für den Fernzugriff auf eingebettete Systeme. at-Automatisierungstechnik Jahrgang 55, Vol. 8:394-403. DOI: 10.1524/auto.2007.55.8.394
- (2007) Verteiltes, dynamisches Antriebssystem zur Steuerung eines Luftschiffes. In Tagungsband 52. Internationales Wissenschaftliches Kolloquium
- (2007) FastSLAM using SURF Features: An Efficient Implementation and Practical Experiences. In Proceedings of the International Conference on Intelligent and Autonomous Vehicles, IAV07
- (2007) Stereo Odometry -- A Review of Approaches
- (2007) Comparing several implementations of two recently published feature detectors. In Proceedings of the International Conference on Intelligent and Autonomous Vehicles, IAV07
- (2007) Using the Unscented Kalman Filter in Mono-SLAM with Inverse Depth Parametrization for Autonomous Airship Control. In Proc. of IEEE International Workshop on Safety Security and Rescue Robotics (SSRR). DOI: 10.1109/SSRR.2007.4381265
- (2006) Mobile Agenten für den Fernzugriff auf eingebettete Systeme. Dissertation: TU Chemnitz
- (2006) Using and Extending the Miro Middleware for Autonomous Mobile Robots. In Proceedings of Towards Autonomous Robotic Systems (TAROS06)
- (2006) Bringing Robotics Closer to Students -- A Threefold Approach. In Proc. of Intl. Conf. on Robotics and Automation (ICRA)
- (2006) Towards Using Bundle Adjustment for Robust Stereo Odometry in Outdoor Terrain. In Proceedings of Towards Autonomous Robotic Systems (TAROS06)
- (2005) Realisierung einer Hard- und Softwarelösung für Zugangskontrollsysteme mit Transpondern. In 7. Chemnitzer Technologieforum
- (2005) Visual Odometry using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle. In Tagungsband Autonome Mobile Systeme 2005, pages 157-163, Springer-Verlag
- (2005) Einfaches Steuerungskonzept für mobile Roboter in dynamischen unstrukturierten Umgebungen. In Levi, Schanz, Lafrenz, Avrutin (Hrsg.), Tagungsband Autonome Mobile Systeme 2005, Reihe Informatik aktuell, Springer Verlag, pages 287-293
- (2005) Comparison of Stereovision Odometry Approaches.. In Proceedings of IEEE International Conference on Robotics and Automation, Planetary Rover Workshop
- (2005) RoboKing - Bringing Robotics Closer to Pupils. In Proc. of Intl. Conf. on Robotics and Automation (ICRA). DOI: 10.1109/ROBOT.2005.1570774
Ältere Publikationen
Renner, J., Protzel, P., Hochberger, Ch. & Gatzka, S. (2004). Implementierung eines mobilen Java-Agenten in eingebetteten Systemen, Proceedings Embedded World Conference 2004, Nürnberg, S. 455-466.
Krause, T., Lima, P. & Protzel, P. (2003). Flugregler für ein autonomes Luftschiff. In Dillmann, Wörn, Gockel (Hrsg.), Tagungsband Autonome Mobile Systeme 2003, Reihe Informatik aktuell, Springer Verlag, S. 83-90.
Renner, J., Protzel, P., Hochberger, Ch. & Gatzka, S. (2003). Neue Perspektiven für die Teleautomation durch mobile Software-Agenten auf eingebetteten Systemen, Tagungsband der Embedded World 2003, Nürnberg, S. 611-622.
Kindermann, L. & Protzel, P. (2002). Physics without Laws - Making exact Predictions with data based Methods, Proceedings of the International Joint Conference on Neural Networks IJCNN 2002, pp. 1673-1677.
Kindermann, L., Lewandowski, A. & Protzel, P. (2002). Finding the Optimal Continuous Model for Discrete Data by Neural Network Interpolation of Fractional Iteration, Lecture Notes in Computer Science, LNCS Vol. 2415, pp. 1094-1099.
Kindermann, L. (2002). Neuronale Netze zur Berechnung Iterativer Wurzeln und Fraktionaler Iterationen. Dissertation, TU Chemnitz. Online Veröffentlichung der Universitätsbibliothek der TU Chemnitz unter http://archiv.tu-chemnitz.de/pub/2002/0154/
Lewandowski, A. & Protzel, P. (2002). Predicting time-varying functions with local models, Intelligent Data Analysis, Volume 6, Number 3/2002, pp. 257 265.
Sandner, F., Protzel, P., Berger, B. & Wolf, G. (2002). Learning on a chip - Hardware implementation of a neural network including a learning algorithm, 10th Zittau Fuzzy Colloquium, Wissenschaftliche Berichte, Heft 75-2002, S. 205 - 210.
Renner, J. & Protzel, P. (2001). Mobile Software-Agenten für den Fernzugriff auf Anlagen und Geräte. VDI Berichte 1608 zum GMA Kongress 2001: Automatisierungstechnik im Spannungsfeld neuer Technologien, Baden-Baden, S. 883-890.
Kindermann, L. & Protzel, P. (2001). Computing Iterative Roots with Second Order Training Methods. Proc. of the International Joint Conference on Neural Networks IJCNN 01, Washington, D.C., pp. 629-632.
Lewandowski, A. & Protzel, P. (2001). Approximation of Time-Varying Functions with Local Regression Models. Proceedings of the International Conference on Artificial Neural Networks ICANN 2001, Wien, Springer Lecture Notes in Computer Science 2130, pp. 237-243.
Lewandowski, A. & Protzel, P. (2001). Predicting Time-Varying Functions with Local Models. Proc. of the The Fourth International Symposium on Intelligent Data Analysis IDA 2001, Lisbon, Portugal. Advances in Intelligent Data Analysis, LNCS 2189, Springer, pp. 44- 52.
Kindermann, L., Lewandowski, A. & Protzel, P. (2001). A framework for Solving Functional Equations with Neural Networks. Proc. of the 8th International Conference on Neural Information Processing ICONIP '2001, Shanghai, China, pp. 1075-1078.
Tagscherer, M. (2001). Dynamische Neuronale Netzarchitektur für Kontinuierliches Lernen. Dissertation, TU Chemnitz. Online Veröffentlichung der Universitätsbibliothek der TU Chemnitz unter http://archiv.tu-chemnitz.de/pub/2001/0072/
Kindermann, L., Lewandowski, A. & Protzel, P. (2000). A Comparison of Different Neural Methods for Solving Iterative Roots. Proceedings at the Seventh International Conference on Neural Information Processing (ICONIP'2000), Taejon, Korea, pp. 565-569.
Protzel, P., Lewandowski, A., Kindermann, L., Tagscherer, M. & Herrnberger, B. (2000). Anwendung und Entwicklung Neuronaler Verfahren zur Autonomen Prozess-Steuerung. BMBF Abschlussbericht, Online Veröffentlichung der Universitätsbibliothek der TU Chemnitz unter http://archiv.tu-chemnitz.de/pub/2001/0080 /
Protzel, P., Tagscherer, M. & Fazliya, N. (2000). Stabilität und Plastizität Neuronaler Netze bei kontinuierlichem Lernen. Fortschritt-Berichte VDI Nr. 643, VDI-Verlag, S. 164 173.
Protzel, P., Kindermann, L., Tagscherer, M. & Lewandowski, A. (2000). Abschätzung der Vertrauenswürdigkeit von Neuronalen Netzprognosen bei der Prozessoptimierung. VDI Bericht Nr. 1626, VDI Verlag, S. 335-339.
Tagscherer, M. & Protzel, P. (1999). Simultaneous learning of time-variant functions and data set distributions, Sixth International Workshop Fuzzy-Neuro Systems FNS 1999, Leipzig, Germany, pp. 145-154.
Tagscherer, M. & Protzel, P. (1999). Kontinuierliches Lernen mit Neuronalen Netzen, 9. Workshop Fuzzy Control 99, Dortmund, Germany, pp. 108-121.
Lewandowski, A., Tagscherer, M., Kindermann, L., Protzel, P. (1999). Improving the Fit of Locally Weighted Regression Models, Proceedings of the Sixth International Conference on Neural Information Processing (ICONIP '99), Perth, Australia, pp. 371-374.
Tagscherer, M., Kindermann, L., Lewandowski, A. & Protzel, P. (1999): Overcome Neural Limitations for Real World Applications by Providing Confidence Values for Network Prediction, Proceedings of the Sixth International Conference on Neural Information Processing (ICONIP '99), Perth, Australia, pp. 520-525.
Kindermann, L., Lewandowski, A., Tagscherer, M. & Protzel, P. (1999). Computing Confidence Measures and Marking Unreliable Predictions by Estimating Input Data Densities with MLPs. Proceedings of the Sixth International Conference on Neural Information Processing (ICONIP'99), Perth, Australia, pp. 91-94.
Protzel, P., Kindermann, L., Tagscherer, M., Lewandowski, A. (1998). Adaptive Systemidentifikation mit Neuronalen Netzen zur Profilsteuerung in Walzwerken. Computational Intelligence: Neuronale Netze, Evolutionäre Algorithmen, Fuzzy Control im industriellen Einsatz, VDI Berichte 1381, VDI Verlag, Düsseldorf, pp. 347-359.
Tagscherer, M., Protzel P. (1998). Adaptive Input-Space Clustering for Continuous Learning Tasks. Proceedings in Artificial Intelligence - FNS '98, Munich, Germany, pp. 352-358.
Holve, R. & Protzel, P. (1997). Einparken eines Modellfahrzeugs mit Fuzzy Control. In A. Grauel, W. Becker u. F. Belli (Hrsg.), Proc. of Artificial Intelligence No. 5: Fuzzy-Neuro-Systeme '97 - Computational Intelligence, Infix Verlag, S. 419-426.
Bocklisch, S. F., Haass, U. L., Bitterlich, N. & Protzel, P. (Hrsg.) (1996). Fuzzy Technologien und Neuronale Netze in der Praxis. Tagungsband des 10. Chemnitzer Kolloquiums 29./30. November 1995, Shaker Verlag, Aachen.
Wallrafen, J., Protzel, P. & Popp, H. (1996). Genetically Optimized Neural Network Classifiers for Bankruptcy Prediction - An Empirical Study. Proc. of the 29th Annual Hawaii Int'l Conf. on System Sciences, pp. 419-426.
Mohraz, K. & Protzel, P. (1996). FlexNet - A Flexible Neural Network Construction Algorithm. Proc. of the European Symposium on Artificial Neural Networks - ESANN '96, Bruges, pp. 111-116.
Holve, R., Protzel, P. & Naab, K. (1996). Generating Fuzzy Rules for the Acceleration Control of an Adaptive Cruise Control System. Proc. of the 1996 Biennial Conference of the North American Fuzzy Processing Society - NAFIPS '96, Berkeley, California, pp. 451 - 455.
Holve, R. & Protzel, P. (1996). Reverse Parking of a Model Car with Fuzzy Control. Proceedings. of the 4th European Congress on Intelligent Techniques and Soft Computing - EUFIT-96, Aachen, pp. 2171-2175.
Martinetz, T., Gramckow, O., Protzel, P. & Sörgel, G. (1996). Neuronale Netze zur Steuerung von Walzstraßen. atp - Automatisierungstechnische Praxis, 38 Heft 10, S. 28-42.
Martinetz, T., Gramckow, O. & Protzel, P. (1995). Walzwerksteuerung mit Neuronalen Netzen. VDI Bericht 1184, Neuronale Netze - Anwendungen in der Automatisierungstechnik, VDI/VDE-GMA Tagung in Langen, S. 35-42.
Wallrafen, J., Protzel, P., Popp, H. & Baetge, J. (1995). Bankruptcy Prediction using Different Soft Computing Methods. Proc. of the 3rd European Congress on Intelligent Techniques and Soft Computing - EUFIT-95, Aachen, pp. 1710-1714.
Holve, R., Protzel, P., Bernasch, J. & Naab, K. (1995). Adaptive Fuzzy Control for Driver Assistance in Car Following. Proc. of the 3rd European Congress on Intelligent Techniques and Soft Computing - EUFIT-95, Aachen, pp. 1149-1153.
Popp, H., Protzel, P., Wallrafen, J. & Mertens, P. (1995). Soft-Computing Methoden für die Kreditwürdigkeitsprüfung. Operations Research Proceedings, Springer Verlag, S. 305-310.
Martinetz, T., Protzel, P., Gramckow, O. & Sörgel, G. (1994). Neural Network Control for Rolling Mills. Proc. 2nd European Congress on Intelligent Techniques and Soft Computing - EUFIT-94, Aachen, pp. 147-152.
Protzel, P., Palumbo, D. & Arras, M.(1993). Performance and Fault-Tolerance of Neural Networks for Optimization. IEEE Transactions on Neural Networks, Vol. 4, No. 4, pp 600-614.
Protzel, P., Holve, R., Bernasch, J. & Naab, K. (1993). Abstandsregelung von Fahrzeugen mit Fuzzy Control. In B. Reusch (Hrsg.), Fuzzy Logik - Theorie und Praxis, Reihe Informatik Aktuell, Springer Verlag, S. 212-222.
Protzel, P., Holve, R., Bernasch, J. & Naab, K. (1993). Fuzzy Distance Control for Intelligent Vehicle Guidance. Proceedings of the 12th Annual Meeting of the North American Fuzzy Processing Society - NAFIPS '93, Allentown, PA, pp. 87-91.
Arras, M. & Protzel, P. (1993). Assessing Generalization by 2-D Receptive Field Visualization. Proceedings of the International Conference on Artificial Neural Networks - ICANN '93.
Arras, M., Protzel, P. & Palumbo, D. (1992). Automatic Learning Rate Adjustment for Self-Supervising Autonomous Robot Control. In H. G. Schuster (Ed.), Applications of Neural Networks, VCH Verlagsgesellschaft, pp. 145-151; auch veröffentlicht als NASA Technical Memorandum TM-107592, NASA Langley Research Center.
Protzel, P. (1991). Associative Memory with High Order Feedback. In T. Kohonen, K. Maekisara, O. Simula, and J. Kangas (Eds.), Artificial Neural Networks, Vol. 1, Elsevier Science Publishing Company, Inc., pp. I-273-278.
Protzel, P. (1990). Comparative Performance Measure for Neural Networks Solving Optimization Problems, Proc. of the International Joint Conference on Neural Networks IJCNN-90, Washington D.C., pp. II-523-526.
Protzel, P. & Arras, M. (1990). Fault-Tolerance of Optimization Networks: Treating Faults as Additional Constraints, Proc. of the International Joint Conference on Neural Networks IJCNN-90, Washington D.C., pp. I-455-458.
Protzel, P. (1990). Artificial Neural Network for Real-Time Task Allocation in Fault-Tolerant, Distributed Processing System. In R. Eckmiller, G. Hartmann, and G. Hauske (Eds.), Parallel Processing in Neural Systems and Computers, Elsevier Science Publishing Company, Inc., pp. 307-310.
Jeffries, C. & Protzel, P. (1990). High Order Neural Models for Error Correcting Code. SPIE Proceedings Vol. 1294, Applications of Artificial Neural Networks, Orlando, Fl, pp. 510-517.
Protzel, P. (1988). Automatically Generated Acceptance Test: A Software Reliability Experiment. Proc. of the Second International Workshop on Software Testing, Verification, and Analysis, Banff, Alberta, Canada, IEEE Computer Society Press, pp. 196-203.