Theses

Notes on Theses

Please read these notes before contacting us.
Theses include bachelor-, diploma-, master thesis and student research projects.
For a speculative application, please fill out the applicant questionnaire and send it together with a tabular CV and a current transcript of grades to M.Sc. Nils Rack.

Open Theses
title	tutor
Deep Learning + Software Engineering: Effect of noisy map labels on the map perception task	M.Sc. Jonas Merkert
Visiting Master's Thesis @ University of Alberta, Canada	Prof. Dr. Ehsan Hashemi
Evaluation and Integration of Nvidia Omniverse into a CARLA-based Simulation Framework	M.Sc. Kaiwen Wang
Machine Learning for Decision-Making in Autonomous Driving	M.Sc. Nick Le Large
Leveraging Large Language Models for Decision-Making in 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
Latent Scene Generation	M.Sc. Marlon Steiner
Algorithmen + Deep Learning: Traffic Light to Lane Assignment für die Offline Anwendung in der Autolabeling Cloud (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
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 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
Applied Deep Learning & Software Engineering: Map Perception Extended to Bicycle Lanes (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
Generalizing in Deep Learning-based Motion Planning using Large Language Models	M.Sc. Marlon Steiner
From Deep Learning-based Motion Prediction to Motion Planning and Simulation	M.Sc. Marlon Steiner
Bereitstellung eines Drohnen-Lagebilds für augmentierte Umgebungswahrnehmung	M.Sc. Jan-Hendrik Pauls