| Ground Truth Annotation for a Custom Autonomous Driving Dataset |
M.Sc. Frank Bieder |
| Algorithmen + Deep Learning: Traffic Light to Lane Assignment für die Offline Anwendung in der Autolabeling Cloud (deutsch/english) |
M.Sc. Richard Fehler |
| Applied Deep Learning & Software Engineering: Map Perception Extended to Bicycle Lanes (deutsch/english) |
M.Sc. Richard Fehler |
| Applied Deep Learning: Training and Evaluation of a Large Panoptic Segmentation Neural Network Model on the Mapillary Vistas 2 Dataset (deutsch/english) |
M.Sc. Richard Fehler |
| Deep Learning & Software Engineering: Classification or Detection of Polylines with Aerial Images as CNN Input (deutsch/english) |
M.Sc. Richard Fehler |
| Deep Learning and Mapping: Parametric Mapping on Argoverse2 Dataset with Deep Neural Networks and 3D Mapping (deutsch/english) |
M.Sc. Richard Fehler |
| Deep Learning: Consistent BEV Map Perception with Spatiotemporal NeuralMemoryBuffer for GlobalMap Perception (deutsch/english) |
M.Sc. Richard Fehler |
| Deep Learning: Long Range BEV Map Perception with: Virtual Telephoto Camera / Lidar Sensor Fusion / SD Map Priors (deutsch/english) |
M.Sc. Richard Fehler |
| Deep Learning: Shared ResNet50 Backbone for Mask2Former and MapTRv2 (like Tesla HydraNet) (deutsch/english) |
M.Sc. Richard Fehler |
| Software Engineering: Optimal Graph Splitting and Merging of OpenStreetMap Road Networks for Highly ParallelHD-MappingforDeepLearning in Autonomous Driving (deutsch/english) |
M.Sc. Richard Fehler |
| Augmentation Methods for Birds-Eye-View Road Feature Perception with Deep Learning |
M.Sc. Fabian Immel |
| Logical Consistency for Birds-Eye-View Road Feature Perception with Deep Learning |
M.Sc. Fabian Immel |
| Modeling Uncertainty for Birds-Eye-View Map Perception with Detection Transformers |
M.Sc. Fabian Immel |
| Traffic Light to Lane Association for Online Road Feature Perception with Deep Learning |
M.Sc. Fabian Immel |
| Uncertainty Guided Cross-Domain Object Detection |
M.Sc. Kaiwen Wang |
| Human Interaction in Level 5 Autonomous Driving |
M.Sc. Nick Le Large |
| Integrating State-of-the-Art Motion Planning Algorithms into Decision-Making for Autonomous Driving |
M.Sc. Nick Le Large |
| Leveraging Large Language Models for Decision-Making in Autonomous Driving |
M.Sc. Nick Le Large |
| Machine Learning for Decision-Making in Autonomous Driving |
M.Sc. Nick Le Large |
| Bereitstellung eines Drohnen-Lagebilds für augmentierte Umgebungswahrnehmung |
M.Sc. Jan-Hendrik Pauls |
| Rekonstruktion der 3D-Umgebung aus Sensordaten |
M.Sc. Kevin Rösch |
| From Deep Learning-based Motion Prediction to Motion Planning and Simulation |
M.Sc. Marlon Steiner |
| Generalizing in Deep Learning-based Motion Planning using Large Language Models |
M.Sc. Marlon Steiner |
| Latent Scene Generation |
M.Sc. Marlon Steiner |
