Theses

General Information

Here you will find initial information on theses (BA, MA, other student research projects) at the Junior Professorship for Pervasive Computing Systems. The list of current open topics is constantly updated and is not binding - we are also happy to receive your own suggestions for topics that are within the scope of the junior professorship. Welcome tools and systems include Arduino, ESP32, RaspberryPi, TensorFlow (Lite), PyTorch, Blender, Unreal Engine 4/5, Unity, CARLA & ROS

The main topics of the theses are:

• Virtual agents & twins, synthetic data:    
  • Generation of virtual worlds with procedural and generative methods    
  • Virtual sensors (LiDAR, sonar, thermal cameras)
• Network technologies:
  • LoRA, Meshtastic, MeshCore
  • BLE
  • WiFi Sensing
• Human-Computer Interaction (HCI):
  • XR interfaces for human-robot interactions and teleoperations    
  • Multimodal interfaces for increased situational awareness for semi-autonomous systems      
  • Autonomous driving
  • Usability Studies of Android Custom Roms (e.g. GrapheneOS)
• Edge AI / Machine Learning:    
  • Wearable computing, especially in the area of (sporting) activity analysis    
  • TinyML / embedded AI, especially with a focus on mobile autonomous systems

Open topics

• Development of a VR interface for the open-source simulator CARLA
  • Implementation of an add-on for integrating VR HMDs into CARLA 0.1 and Unreal Engine 5.5 for analyzing situational awareness in autonomous driving   
  • Integration of eye tracking and spatial audio   
  • Visualization of driving conditions via dashboards, supplemented by multimodal feedback   
  • Integration of prototypical driver assistance functions
• Generation of synthetic sensor data for the detection of deformable objects in Blender
  • Script-based soft body simulation/clothing simulation    
  • Connection to virtual sensor technology in Blender (provided)   
  • Generation of diverse data sets by varying soft body parameters and environmental variables
• Wearable data generation through activity simulation with virtual humans
  • Modeling, rigging, and animation of virtual avatars for various physical activities   
  • Implementation of a virtual cardiovascular system incorporating physiological factors   
  • Integration of virtual wearable sensor technology to generate artificial measurement data in various activity concepts (e.g., IMU data, HR measurement, ECG, etc.)