Thursday, August 03, 2023

Challenge automated vehicles: Generation of complex driving scenarios for automated driving

Topic and Goal of the Thesis

Vehicles drive increasingly automated and are therefore tested within simulations. Therefore, driving scenarios have to be created to challenge the driving function. However, the generated scenarios are mostly simple and do not do justice to the complexity of traffic at intersections.

In this work, a methodology for the realistic generation of complex driving scenarios to challenge automated driving functinos shall be developed. For this purpose, road users are to be systematically parameterized and controlled in order to be able to test an automated driving function in realistic scenarios.

Working Points

  • Literature research on generation of driving scenarios
  • Development of a methodology for complex and challenging driving scenario generation on urban intersections
  • Generation and simulation of driving scenarios on intersections based on existing real-world data
  • Validation of the developed methodology


  • Good English or German language skills
  • Reliability, commitment, and enjoyment of working independently as well as methodically
  • Experience with python

Note: Please attach brief resume and grade summary.


Christoph Glasmacher M. Sc.
+49 241 80 25611

Type of work



Earliest possible date

Prior knowledge



Deutsch, Englisch

Research area

Fahrzeugintelligenz & Automatisiertes Fahren


Institute for Automotive Engineering
RWTH Aachen University
Steinbachstraße 7
52074 Aachen · Germany
+49 241 80 25600

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