Wednesday, February 15, 2023

Development of an intelligence for continuous analysis of data flows in C-ITS

Topic and Goal of the Thesis

In the context of C-ITS (Cooperative Intelligent Transport Systems), both automated vehicles and infrastructure sensors can be used for environment perception. To create digital twins of the environment, perception data from automated vehicles can be fused with those from connected traffic-related infrastructure. The exchange and combination of these data is only possible and useful under certain conditions. The decision on whether and how to fuse data is conducted in the cloud and based on a continuous analysis of available time series data, such as the position of different road users.

The goal of this work is to define and exemplarily implement suitable analysis rules for demand-driven communication and data fusion. The work serves as an important basis for the orchestration of functions and data flows in a C-ITS.

Working Points

  • Literature research with respect to demand-driven communication
  • Definition of analysis rules and corresponding interfaces
  • Generation of test scenarios in a simulation environment
  • Implementation and simulative tests of specific analysis rules using generated scenarios


  • Good English or German language skills
  • Passion for automated driving
  • Experience with C++ and Python
  • Experience with ROS is an advantage

Note: Please attach brief resume and grade summary.


Lukas Zanger M.Sc.
+49 241 80 25630

Type of work

Bachelorarbeit, Masterarbeit


at the earliest possible date

Prior knowledge

Programming experience


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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