Theses at the GET Lab

Below is a list of topics for theses which have been assigned in the GET Lab. The titles refer to the abstract of the respective work.

Amanuel Aslan (2021): Anpassung und Erweiterung eines Verfahrens zur Vorverarbeitung binärer Kantenbilder
Jan-Niclas Nutt (2021): Robuste Objekterkennung auf Basis invarianter Konturmerkmale

Pranav Avekar (2021): Goal Oriented Action Planning
Anshul Suresh Bansal (2021): MultiFlow - Multiple Frame Approach for Optical Flow Estimation Using Deep Learning
Aayush Suresh Bansal (2021): UFCFlow - Optical Flow Estimation using Unsupervised Deep Learning
Sarim Charania (2021): Precise Object Handling using Visual Feedback
Richard Iltner (2021): Direkte Bestimmung lokaler Konturmerkmale mit Convolutional Neural Networks
Satish Jai (2021): Autonomous Assembly of Pre-Defined Structures with a Robotic Arm Using Known Objects Detected in the Environment
Anshuman Nayak (2021): A Hierarchical Approach to Enhance Accuracy of Place Recognition
Patrick Neugebauer (2021): Optische Bestimmung der Strohverteilparameter bei der Strohverteilung des Mähdreschers
Nikhitha Shivaswamy (2021): Energy Optimization vs. Deep Learning: Segmentation of Underwater Robot Imagery
Asjad Sohail (2021): Autonomous Robot Navigation in a Real Environment Using Reinforcement Learning
Shivaram Goutham Suresh (2021): Exploration of Unknown Environments Supported by Semantic Maps
Marvin Westerholz (2021): Object Detection and Robot Motion Planning for Object Handling