Wednesday, September 21, 2022

Cooperative trajectory planning using V2X-based maneuver suggestions

Topic and Goal of the Thesis

Algorithms for safe, comfortable and efficient motion planning play an important role for automated vehicles. A wide range of information is taken into account to plan a suitable vehicle trajectory: In addition to information from the vehicle's own sensors, information from other road users or digital infrastructure can also be considered. In this thesis, a concept for the integration of V2X messages into the motion planning of an automated vehicle will be developed and implemented.

Working Points

  • Literature research on the external coordination of automated vehicles and its integration into the vehicle guidance
  • Determination of relevant control variables for urban areas, e.g. on the basis of drone data
  • Creation and implementation of a concept for the generation and integration of external maneuver suggestions
  • Evaluation and documentation of the results


  • Good English or German language skills
  • Reliability, commitment and enjoyment of working independently
  • Experience with python and C++
  • Experience with ROS and CARLA (not a must)

Note: Please attach brief resume and grade summary.


Jean-Pierre Busch M.Sc.
+49 241 80 25676

Type of work

Bachelorarbeit, Masterarbeit


Earliest possible date

Prior knowledge

Experience with programming (C++, Python), ROS, Git


Deutsch, Englisch

Research area

Fahrzeugintelligenz & Automatisiertes Fahren


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

We use cookies on our website. Some of them are essential for the operation of the site, while others help us to improve this site and the user experience (tracking cookies). You can decide for yourself whether you want to allow cookies or not. Please note that if you reject them, you may not be able to use all the functionalities of the site.