Publikationen

Auf dieser Seite finden Sie nach Jahren geordnet die Publikationen des Instituts. Aus Gründen des Urheberrechts können wir die Paper und Beiträge leider nicht komplett frei in das Internet stellen. Wenn Sie Interesse an einem Beitrag haben, schicken Sie uns doch einfach ein Email und wir senden Ihnen dann eine Kopie zum persönlichen Gebrauch zu.

Die Dissertationen der ehemaligen Mitarbeiter finden Sie zum großen Teil im OPen Access Repositorium der Universität Ulm (OPARU). Falls etwas nicht vorhanden ist, sprechen Sie uns bitte ebenfalls an. 

Publikationssuche

2020

521.
Lomakin, Alexander; Deutscher, Joachim
Identification of Dynamic Parameters for Rigid Robots based on Polynomial Approximation
Proceedings of International Conference on Intelligent Robots and Systems (IROS), Las Vegas, USA, Seite 7271-7278
2020
520.
Fischer, Ferdinand; Deutscher, Joachim
Flatness-based algebraic fault diagnosis for distributed-parameter systems
Automatica, 117 :108987
2020
ISSN: 0005-1098
DOI:https://doi.org/10.1016/j.automatica.2020.108987
Datei:http://www.sciencedirect.com/science/article/pii/S0005109820301850
519.
Dawoud, Youssef; Hornauer, Julia; Carneiro, Gustavo; Belagiannis, Vasileios
Few-Shot Microscopy Image Cell Segmentation
Joint European Conference on Machine Learning and Knowledge Discovery in Databases
Herausgeber: Springer
2020
518.
Lomakin, Alexander; Deutscher, Joachim
Fault Detection and Identification for Nonlinear MIMO Systems Using Derivative Estimation
21st world congress of the international federation of automatic control, Berlin, Germany, Seite 676-681
2020

2019

517.
Forstenhaeusler, Marc; Karl, M.; Dietmayer, Klaus
Object-based differential Localization of Mobile Robots using sparse 2D Lidar Data
2019 IEEE International Conference on Advanced Robotics (ICAR)
2019
516.
Keilhoff, Dan; Niedballa, Dennis; Reuss, Hans-Christian; Buchholz, Michael; Gies, Fabian; Dietmayer, Klaus; Lauer, Martin; Stiller, Christoph; Ackermann, Stefan; Winner, Hermann; Kampmann, Alexandru; Alrifaee, Bassam; Kowalewski, Stefan; Klein, Fabian; Struth, Michael; Woopen, Timo; Eckstein, Lutz
UNICARagil - New Architectures for Disruptive Vehicle Concepts
In Michael Bargende and Hans-Christian Reuss and Jochen Wiedemann, Editor, 19th Stuttgart International Symposium - Automotive and Engine TechnologyBand19
In Michael Bargende and Hans-Christian Reuss and Jochen Wiedemann, Editor
Herausgeber: Springer Fachmedien, Wiesbaden
2019
515.
Kraus, Florian; Dietmayer, Klaus
Uncertainty Estimation in One-Stage Object Detection
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 53-60
2019
514.
Herzog, Manuel; Dietmayer, Klaus
Training a Fast Object Detector for LiDAR Range Images Using Labeled Data from Sensors with Higher Resolution
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 2707 - 2713
2019
DOI:10.1109/ITSC.2019.8917011
513.
Scheel, Alexander; Dietmayer, Klaus
Tracking Multiple Vehicles Using a Variational Radar Model
IEEE Transactions on Intelligent Transportation Systems, 20 (10) :3721 - 3736
2019
DOI:10.1109/TITS.2018.2879041
512.
Speidel, Oliver; Graf, Maximilian; Phan-Huu, Thanh; Dietmayer, Klaus
Towards Courteous Behavior and Trajectory Planning for Automated Driving
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 3142 - 3148
2019
DOI:10.1109/ITSC.2019.8917033
511.
Forstenhaeusler, Marc; Engel, Nico; Dietmayer, Klaus
Temporal Filtering to Stabilize Features for SLAM
2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Seite 1592 - 1597
2019
DOI:10.1109/AIM.2019.8868846
510.
Müller, Johannes; Griebel, Thomas; Gabb, Michael; Buchholz, Michael
Subjective Logic-Based Identification of Markov Chains and Its Application to CAV's Safety
2019 IEEE 2nd Connected and Automated Vehicles Symposium (CAVS), Seite 1-5
2019
DOI:10.1109/CAVS.2019.8887769
509.
Pfeuffer, Andreas; Dietmayer, Klaus
Separable Convolutional LSTMs for Faster Video Segmentation
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 1072 - 1078
2019
DOI:10.1109/ITSC.2019.8917487
508.
Pfeuffer, Andreas; Schulz, Karina; Dietmayer, Klaus
Semantic Segmentation of Video Sequences with Convolutional LSTMs
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1253 - 1259
2019
507.
Pfeuffer, Andreas; Dietmayer, Klaus
Robust Semantic Segmentation in Adverse Weather Conditions by Means of Sensor Data Fusion
2019 22nd International Conference on Information Fusion (FUSION) (FUSION 2019)
Herausgeber: Ottawa, Canada
2019
506.
Graf, Maximilian; Speidel, Oliver; Dietmayer, Klaus
Trajectory Planning for Automated Vehicles in Overtaking Scenarios
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1653 - 1659
2019
DOI:10.1109/IVS.2019.8813854
505.
Bijelic, Mario; Kysela, Paula; Gruber, Tobias; Ritter, Werner; Dietmayer, Klaus
Recovering the Unseen: Benchmarking the Generalization of Enhancement Methods to Real World Data in Heavy Fog
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops
2019
504.
Schreiber, Marcel; Hoermann, Stefan; Dietmayer, Klaus
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
2019 IEEE International Conference on Robotics and Automation(ICRA)
2019
503.
Müller, Johannes; Meuser, Tobias; Steinmetz, Ralf; Buchholz, Michael
A Trust Management and Misbehaviour Detection Mechanism for Multi-Agent Systems and its Application to Intelligent Transportation Systems
2019 IEEE 15th International Conference on Control and Automation (ICCA), Seite 325 - 331
2019
DOI:10.1109/ICCA.2019.8899968
502.
Feng, Di; Rosenbaum, Lars; Timm, Fabian; Dietmayer, Klaus
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1280-1287
2019
501.
Danzer, Andreas; Griebel, Thomas; Bach, Martin; Dietmayer, Klaus
2D Car Detection in Radar Data with PointNets
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 61 - 66
Herausgeber: IEEE
2019
DOI:10.1109/ITSC.2019.8917000
500.
Graf, Maximilian; Speidel, Oliver; Dietmayer, Klaus
A Model Based Motion Planning Framework for Automated Vehicles in Structured Environments
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 201-206
2019
DOI:10.1109/IVS.2019.8814169
499.
Müller, Johannes-Christian; Buchholz, Michael
A Risk and Comfort Optimizing Motion Planning Scheme for Merging Scenarios
Proc. IEEE Int. Conf. Intell. Transp. Syst. (ITSC), Seite 3155 - 3161
Herausgeber: Auckland, New Zealand
2019
498.
Englert, Tobias; Völz, Andreas; Mesmer, Felix; Rhein, Sönke; Graichen, Knut
A software framework for embedded nonlinear model predictive control using a gradient-based augmented Lagrangian approach (GRAMPC)
Optimization and Engineering
2019
ISSN: 1573-2924
DOI:10.1007/s11081-018-9417-2
497.
Müller, Johannes; Gabb, Michael; Buchholz, Michael
A Subjective-Logic-based Reliability Estimation Mechanism for Cooperative Information with Application to IV's Safety
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1940 - 1946
2019
DOI:10.1109/IVS.2019.8814153