Synthetic Dataset Generation of 3D Artificial Objects in Space for Event Vision

Institut

Lehrstuhl für Spacecraft Systems

Typ

Semesterarbeit / Masterarbeit /

Inhalt

experimentell / theoretisch /  

Beschreibung

Topic: Synthetic Dataset Generation of 3D Artificial Objects in Space for Event Vision

The goal of this project is to generate a synthetic dataset of 3D artificial objects in space for event vision using a neuromorphic camera. The candidate will develop a model-based simulation framework to generate a space operations dataset to be used for training AI models for object detection, classification, and identification. This dataset is essential for training AI models to detect objects in space, such as artificial satellites.

 

Tasks:

• Development of model-based simulation framework (using  existing optic table and event camera)

 

Expected results:

• Synthetic Dataset of Artificial Space Objects for Event Vision
• Semester Thesis / Master Thesis
• Following our internal evaluation, the candidate may be funded, on a merit basis, to present the results of the work at a world-class international conference

Voraussetzungen

Requirements:

• Basic knowledge in computer vision and artificial intelligence
• Python

Möglicher Beginn

sofort

Kontakt

Rafael Iliasov
Tel.: +49 89 289 55752
r.iliasovtum.de

Ausschreibung