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
2019
517.
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
Oktober 2019
2D Car Detection in Radar Data with PointNets
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 61 - 66
Herausgeber: IEEE
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917000 |
516.
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
Oktober 2019
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
Oktober 2019
515.
Speth,
Peter;
Buchholz,
Michael
Combined Estimation of Vehicle Slip Angle and Lateral Tire Forces with an Unscented Kalman Filter with Outlier Detection
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 2963 - 2968
Oktober 2019
Combined Estimation of Vehicle Slip Angle and Lateral Tire Forces with an Unscented Kalman Filter with Outlier Detection
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 2963 - 2968
Oktober 2019
DOI: | 10.1109/ITSC.2019.8916983 |
514.
Engel,
Nico;
Hoermann,
Stefan;
Horn,
Markus;
Belagiannis,
Vasileios;
Dietmayer,
Klaus
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 926-933
Herausgeber: IEEE
Oktober 2019
DeepLocalization: Landmark-based Self-Localization with Deep Neural Networks
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 926-933
Herausgeber: IEEE
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917005 |
513.
Herrmann,
Martin;
Müller,
Johannes;
Strohbeck,
Jan;
Buchholz,
Michael
Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter *
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 2414 - 2420
Oktober 2019
Environment Modeling Based on Generic Infrastructure Sensor Interfaces Using a Centralized Labeled-Multi-Bernoulli Filter *
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 2414 - 2420
Oktober 2019
DOI: | 10.1109/ITSC.2019.8916923 |
512.
Rexin,
Nils;
Musch,
Marcel;
Dietmayer,
Klaus
Fusion of Object Tracking and Dynamic Occupancy Grid Map
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 4121 - 4127
Herausgeber: IEEE
Oktober 2019
Fusion of Object Tracking and Dynamic Occupancy Grid Map
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 4121 - 4127
Herausgeber: IEEE
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917048 |
511.
Müller,
Johannes;
Herrmann,
Martin;
Strohbeck,
Jan;
Belagiannis,
Vasileios;
Buchholz,
Michael
LACI: Low-effort Automatic Calibration of Infrastructure Sensors
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 3928-3933
Herausgeber: IEEE
Oktober 2019
LACI: Low-effort Automatic Calibration of Infrastructure Sensors
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 3928-3933
Herausgeber: IEEE
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917310 |
510.
Pfeuffer,
Andreas;
Dietmayer,
Klaus
Separable Convolutional LSTMs for Faster Video Segmentation
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 1072 - 1078
Oktober 2019
Separable Convolutional LSTMs for Faster Video Segmentation
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 1072 - 1078
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917487 |
509.
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
Oktober 2019
Towards Courteous Behavior and Trajectory Planning for Automated Driving
2019 IEEE Intelligent Transportation Systems Conference (ITSC), Seite 3142 - 3148
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917033 |
508.
Scheel,
Alexander;
Dietmayer,
Klaus
Tracking Multiple Vehicles Using a Variational Radar Model
IEEE Transactions on Intelligent Transportation Systems, 20 (10) :3721 - 3736
Oktober 2019
Tracking Multiple Vehicles Using a Variational Radar Model
IEEE Transactions on Intelligent Transportation Systems, 20 (10) :3721 - 3736
Oktober 2019
DOI: | 10.1109/TITS.2018.2879041 |
507.
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
Oktober 2019
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
Oktober 2019
DOI: | 10.1109/ITSC.2019.8917011 |
506.
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
September 2019
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
September 2019
DOI: | 10.1109/CAVS.2019.8887769 |
505.
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
Juli 2019
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
Juli 2019
DOI: | 10.1109/ICCA.2019.8899968 |
504.
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
Juli 2019
Temporal Filtering to Stabilize Features for SLAM
2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), Seite 1592 - 1597
Juli 2019
DOI: | 10.1109/AIM.2019.8868846 |
503.
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
Juni 2019
A Model Based Motion Planning Framework for Automated Vehicles in Structured Environments
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 201-206
Juni 2019
DOI: | 10.1109/IVS.2019.8814169 |
502.
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
Juni 2019
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
Juni 2019
DOI: | 10.1109/IVS.2019.8814153 |
501.
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
Juni 2019
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
Juni 2019
500.
Graf,
Maximilian;
Speidel,
Oliver;
Dietmayer,
Klaus
Trajectory Planning for Automated Vehicles in Overtaking Scenarios
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1653 - 1659
Juni 2019
Trajectory Planning for Automated Vehicles in Overtaking Scenarios
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1653 - 1659
Juni 2019
DOI: | 10.1109/IVS.2019.8813854 |
499.
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
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 |
498.
Feng,
Di;
Wei,
Xiao;
Rosenbaum,
Lars;
Maki,
Atsuto;
Dietmayer,
Klaus
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 667-674
2019
Deep Active Learning for Efficient Training of a LiDAR 3D Object Detector
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 667-674
2019
497.
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
Leveraging Heteroscedastic Aleatoric Uncertainties for Robust Real-Time LiDAR 3D Object Detection
2019 IEEE Intelligent Vehicles Symposium (IV), Seite 1280-1287
2019
496.
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
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
2019 IEEE International Conference on Robotics and Automation(ICRA)
2019
495.
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
Object-based differential Localization of Mobile Robots using sparse 2D Lidar Data
2019 IEEE International Conference on Advanced Robotics (ICAR)
2019
494.
Gruber,
Tobias;
Bijelic,
Mario;
Heide,
Felix;
Ritter,
Werner;
Dietmayer,
Klaus
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
2019 International Conference on 3D Vision (3DV), Seite 95-105
2019
Pixel-Accurate Depth Evaluation in Realistic Driving Scenarios
2019 International Conference on 3D Vision (3DV), Seite 95-105
2019
493.
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
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