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Theses at the GET Lab

Overview of 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.

Legend:


Year:

Bachelor's Theses:

inprogress Marc Leineke (2023)
Auswahl und Implementierung aktueller Verfahren zur automatischen Erstellung ansichtenbasierter Objektrepräsentationen
inprogress Sarah Neugebauer (2023)
Extraktion von Objektkonturen aus Regionensegmentierungen

Master's Theses:

inprogress Pranav Avekar (2023)
Goal Oriented Action Planning
inprogress Sarim Charania (2023)
Robot Arm Control using Hand-Eye Coordination Based on Object Tracking
inprogress Dheeraj Rajashekar Poolavaram (2023)
Deep Learning based Scale Estimation for Local Image Features
inprogress Waleed Nauman Siddiqui (2023)
Spatiotemporal Clustering of Driving Situations Using Unsupervised Learning for Sensor Data Encoding
inprogress Pranav Pravin Tondgaonkar (2023)
Deep Learning-based Object Recognition using Invariant Contour Features