Tuesday, February 13, 2024
Automated driving: Software architecture for a connected mobility system
Topic and Goal of the Thesis
The mobility system of the future is characterized by an open architecture in which automated vehicles, intelligent infrastructure, and cloud servers, among other things, are interconnected. The intelligence for automated driving is distributed demand-driven to hardware inside and outside the vehicle.
The architecture is realized in the form of a toolkit of powerful software modules known as microservices. These can be deployed both in the vehicle and in the infrastructure. A component is required that is responsible for the real-time capable orchestration of the software modules within the mobility system. This component is to be further developed and applied in an implemented use case as part of the thesis.
Working Points
- Literature research with respect to existing software architectures for the orchestration of services
- Determination of requirements for the component to be developed
- Formulation of an use case for testing the implementation
- Implementation of the software component using Python and Kubernetes
Requirements
- Good English or German language skills
- Experience with Python and Kubernetes or Docker
- Experience with ROS is an advantage
- Reliability, commitment and enjoyment of working independently
Note: Please attach brief resume and grade summary.
Contact
Lukas Zanger M.Sc.
+49 241 80 25630
Email
Type of work
Bachelorarbeit, Masterarbeit
Start
earliest date possible
Prior knowledge
Python, Kubernetes, Docker
Language
Deutsch, Englisch
Research area
Fahrzeugintelligenz & Automatisiertes Fahren