Analysis of urban outdoor environments

  • Subject:Hochautomatisiertes Fahren, Perzeption, Umgebungsmodelle, CNNs, Bildverarbeitung, LiDAR
  • Type:Bachelor-/ Masterarbeit
  • Date:ab 03 / 2023
  • Tutor:

    M.-Eng. Hubert Padusinski

Analysis of urban outdoor environments



Highly automated systems must operate reliably in the most diverse compositions of outdoor environments in a wide variety of driving scenarios. One research focus is the meaningful modeling and aggregation of features, as well as properties in outdoor environments with their conditions. How can relevant correlations or finest details be measured to relate them to uncertainties of the technical systems?


  • Testing of suitable environment calculations
  • Analysis and processing of environment data from different sensor types
  • Pre- and post-processing solutions for sensor realistic Unreal Engine simulations


  • Character strengths: self-initiative & out-of-the-box thinking
  • Study focus: information technology, signal processing, computer vision, machine learning
  • Experience: Python and/or C++, Optional: image processing, ROS, CNNs, LiDAR sensing.