Deutsch Intern
Embedded Systems and Sensors for Earth Observation (ESSEO)

Research

Space Technology

  • Small small satellite development
  • Hardware and Software
  • Satellite communication networks
  • Subsystem technology

Earth Observation

  • Satellite image processing
  • Image data fusion
  • Artificial Intelligence (AI) and Machine Learning for Earth Observation

Robotics

  • Robot navigation
  • Human Robot Interaction and assistant robotics
  • Human Brain Interface

Edge Inference for Robots and Satellites

Efficient AI for Robots & Satellites: We explore how machine learning models can run directly on-board, optimizing limited resources for faster decisions, reduced data load, and greater autonomy.

Image Fusion

Smarter Satellite Data: We develop methods to process and fuse satellite images more efficiently—improving resolution, removing clouds, and enabling detailed monitoring for climate, agriculture, disasters, and urban planning.

UWE-5

In the UWE-5 mission we aim to use two 3U-Cubesats to demonstrate integration of small satellite formations into a 5G communications network using Ka-band communication.

FORnanoSatellites

Modular and Standardized Nanosatellites: We develop unified hardware and software architectures that enable plug-and-play satellite components—streamlining design, boosting reliability, and scaling small-satellite production for diverse space missions.

Measurement Boxes for Environmental Observation

Using Embedded Systems to understand our environment: Using portable and stationary self-developed measurement boxes, we measure and log environmental information, particularly in arctic regions.

Lastenrad

Interdisciplinary project for collecting environmental information: Sensors attached to bicycles collect data on air quality, vegetation, noise, and urban heat islands over a two-week period, which is then evaluated by scientists and students.